Perioperative outcomes in an age-adapted analysis of the German StuDoQ|Pancreas registry for PDAC

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Hofmann, Bernhard Renz, Maximilian Hungbauer, and 10 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4307531/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 04 Jan, 2025 Read the published version in BMC Surgery → Version 1 posted 4 You are reading this latest preprint version Abstract Background : Pancreatic ductal adenocarcinoma (PDAC) typically occurs in an older patient population. Yet, early-onset pancreatic cancer (EOPC) has one of the fastest growing incidence rates. This study investigated the influence of age and tumor location on postoperative morbidity and mortality in a large, real-world dataset. Methods : Patients with confirmed PDAC undergoing pancreatic surgery between 01/01/2014 and 31/12/2019 were identified from the German StuDoQ|Pancreas registry. After categorization into early- (EOPC), middle- (MOPC), and late-onset (LOPC), and stratification into pancreaticoduodenectomy (PD) or distal pancreatectomy (DP), differences in morbidity and mortality as well as clinicopathologic parameters were analyzed. Results : In total, 3011 identified patients were identified. No difference in the occurrence of POPF, PPH or DGE between different age groups and resection techniques was detected. However, in patients undergoing PD, major complications (Clavien-Dindo ³ 3a) were observed more frequently in LOPC (30,7%) than in MOPC (26,2%) and EOPC (16,9%; p < 0,01). Mortality almost tripled from EOPC (2,4%) to MOPC (3,6%) to LOPC (6,6%, p < 0,01) and significantly higher FTR rates could be observed (EOPC 14,3%, MOPC 13,6%; LOPC 21,6%; p < 0,05). In centers with DGAV certification for pancreatic surgery, the risk of complications was significantly decreased in PD (OR 0,79; 95% CI 0,65-0,94; p = 0,010). Conclusion : Age has a pronounced impact on the perioperative outcomes after pancreatic resections of PDAC. This effect is more prevalent in PD compared to DP. Pancreatic surgery-specific complications, such as POPF, DGE or PPH do not occur more frequently in the elderly. Overall, the risk of major complications and mortality increases in elderly patients mainly secondary to higher FTR rates. In contrast, certified centers (DGAV) reduced the rate of major complications in PD. Centralization of pancreatic surgery in high-volume centers with certified quality management is key to improve the outcomes of pancreatic surgery. Age early-onset PDAC StuDoQ early-onset cancer pancreatic cancer Figures Figure 1 Figure 2 Introduction Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cause of cancer-related death in the USA and is projected to become the second by 2030 [ 1 ]. On average, diagnosis of PDAC occurs after the sixth decade of life, but around 5% − 10% of patients are diagnosed with 50 years of age or younger [ 2 ]. This group can be referred to as early-onset pancreatic cancer (EOPC). While the incidence of early-onset cancer in general seems to be increasing, EOPC has one of the fastest growing incidence rates observed [ 3 ]. Even though EOPC aggregates only 1% − 5% of the total deaths from pancreatic cancer, it accounts for 20–30% of the total numbers of years-of-life-lost caused by the disease [ 2 ]. Thus, understanding the perioperative outcomes and risk factors specific to EOPC is imperative to improve overall management and patient outcomes. Due to this limited knowledge about EOPC, it is questionable if established risk factors, derived mostly from an elder population, are equally applicable for this rare subgroup. In general, patients with EOPC seem to present in more advanced stages with frequent metastases and poor survival [ 4 , 5 ]. However, a recent analysis in two high volume institutions has demonstrated that in instances when resection in EOPC is feasible, satisfactory oncologic outcomes are achievable, even though patients frequently present with advanced tumors [ 6 ]. Still, EOPC remains poorly characterized, necessitating further investigation to optimize treatment strategies for this specific patient subset. Conversely, by the end of this decade patients aged 65 and older will make up 70% of all patients diagnosed with cancer [ 7 ]. For elderly patients with PDAC, available data suggest that with increased age, perioperative risks increase, too [ 8 , 9 ]. Yet, surgical resection remains the only option for cure in patients with PDAC. Pylorus-preserving pancreaticoduodenectomy (PPPD) or Whipple’s procedure is necessary to remove PDAC of the head, which accounts for 60–70% of all PDAC. In contrast, distal pancreatectomy (DP) is required for PDAC in the pancreatic body or tail region, which accounts for 20–25% of all PDAC [ 10 ]. As perioperative morbidity and mortality differs between PPPD/Whipple’s and DP, the aim of this study was to compare perioperative outcomes according to resection type while adjusting for different age groups. Methods StuDoQ|Pancreas registry Data obtained from the StuDoQ|Pancreas registry, which is maintained by the German Society for General and Visceral Surgery (DGAV), was retrospectively analyzed. StuDoQ|Pancreas is a registry specifically designed for pancreatic surgery in Germany and was established in September 2013 to assess quality. Over 60 institutions contributed to the registry at the time of this study. Pseudonymized data from participating centers were entered into a web-based tool with automatic plausibility checks. Annual certification involved validation through cross-checking with institutional medical data. Study cohort Eligibility was assessed for all patients who had provided written informed consent at the respective study site and underwent elective surgery between January 2014 and December 2019. All patients with histopathologic diagnosis of PDAC in the head, body or tail who received oncologic resection (Whipple’s procedure, PPPD or DP) were included. Patients were excluded when localization of PDAC did not match with operational technique. Patients were grouped into Early- ( 70 years) onset (LOPC), and all analyses were conducted after stratification of Whipple’s operation and PPPD into PD in contrast to DP. The flow chart for the final study cohort can be seen under Fig. 1 . Data Apart from surgical procedure, obtained data included baseline parameters (e.g., age, body mass index (BMI), ASA physical status classification system (ASA), preoperative diabetes mellitus (DM), preoperative serum markers (bilirubin, CA19-9, CEA)), perioperative parameters (e.g., length of surgery, postoperative days in hospital and on intensive care unit (ICU), TNM classification and DGAV certification of the surgical department) as well as postoperative outcomes and complications (e.g., occurrence of postoperative pancreatic fistula (POPF) [ 11 ], delayed gastric emptying (DGE) [ 12 ], postpancreatectomy hemorrhage (PPH) [ 13 ] as defined by the ISGPS). Postoperative complications were graded according to the Clavien-Dindo classification [ 14 ] and dichotomized into minor (grade ≤ 2) or major (grade ≥ 3a). Failure to rescue rates (FTR) were calculated by dividing deaths in patients by patients with major complications, in accordance with previously described literature [ 15 , 16 ]. Data extraction and analysis received approval from the StuDoQ steering committee and was conducted in compliance with StuDoQ data protection guidelines (StuDoQ-2019-0010). The Society for Technology, Methods, and Infrastructure for Networked Medical Research (TMF) approved the concept of informed consent and data safety [ 17 ]. All data are property of the German Society of General and Visceral Surgery, but can be consulted upon request. Statistics Variables were tested for normality by analyzing histograms and Shapiro-Wilk test. Non-normal distributions were reported in median and compared using Kruskal-Wallis tests. For post hoc testing, Jonckheere-Terpstra test was carried out. Categorial variables were compared using Pearson’s chi square tests or Fisher’s exact tests. Missing values were not included into testing. Uni- and multivariable logistic regression was used to investigate the association between potential risk factors and the occurrence of major complications (Clavien-Dindo ≥ 3a). Missing values For the statistical analysis, SPSS version 28.0.1.1 (14) was utilized. Results Patient characteristics The study cohort included 3011 patients with confirmed PDAC who underwent resection between 2014 and 2019. Of these, 2412 (80,1%) underwent Whipple’s procedure or PPPD, which was combined to a PD group. In contrast, 599 patients (19,9%) underwent DP. Patients were grouped according to their age in early-onset pancreatic cancer (EOPC; 18-49 years, n = 110 (3,7%) in total), middle-onset pancreatic cancer (MOPC, 50-70 years, n = 1399 (46,5%) in total) and late-onset pancreatic cancer (LOPC; > 70 years, n = 1502 (49,8%) in total). In the PD group, EOPC consisted of 83 (3,4%), MOPC of 1123 (46,6%) and LOPC of 1206 (50,0%) patients. The DP group comprised 27 patients (4,5%) with EOPC, 276 (46,1%) with MOPC, and 296 (49,4%) with LOPC respectively. ASA scores differed in the PD (p < 0,05) and DP (p < 0,001) group across the different age groups. In the PD group, patients of the MOPC group tended to have a slightly elevated BMI (p < 0,05), whereas in the DP group BMI did not vary. In the PD group, with increasing age, DM was found with a significantly higher incidence preoperatively (p < 0,001); this was not the case for patients undergoing DP. Preoperative bilirubin levels differed in the PD and DP group across the different ages. Tumor markers CEA and CA19-9 tended to be more elevated with increasing age, this difference was only significant for CA19-9 in the PD group. In the PD group, an enlarged pancreatic duct (PD) width was found with increasing age, while the opposite trend was seen in the DP group. There was no difference observed in pancreatic texture. Likewise, neither tumor size nor lymph node status diverged between age groups for both resection types. A summary of all the baseline characteristics can be seen under Table 1. Perioperative outcomes The majority of all operations was carried out as open operations (2838/3011; 94%). Only 54 (1,8%) of the total 3011 operations were performed laparoscopically while the rest was either laparoscopically assisted (45/3011; 1,5%) or secondarily converted to open surgery (73/3011, 2,4%); thus, comparisons between open and laparoscopic surgery was not feasible due to the small case numbers. For both PD and DP, the operating time was significantly shorter in EOPC compared to MOPC and to LOPC (p < 0,01 and p < 0,01; Table 2). In contrast, for both PD and DP, length of hospital stay was longer for patients with LOPC compared to MOPC and to EOPC (p < 0,01 and p < 0,05; Table 2). For patients receiving PD, length of stay on the ICU got significantly longer from EOPC to LOPC (p < 0,01) but did not differ for patients in the DP group (p = 0,07; Table 2). Resection (R) status did not differ and comparable rates of R0 resections were achieved and can be seen in Table 2. We did not detect a difference in the occurrence of POPF, PPH or DGE between different age groups and resection techniques (Table 2, Figure 2). However, in patients undergoing PD, complications graded after Clavien-Dindo occurred more frequently in LOPC compared to MOPC and EOPC (p < 0,01; Table 2). Similarly, in patients undergoing PD, major complications (Clavien-Dindo ³ 3a) were observed more frequently in LOPC (370/1206, 30,7%) than in MOPC (294/1123, 26,2%) and EOPC (14/83, 16,9%%; p < 0,01; Table 2). In DP, there was a trend of increased mortality and FTR rates from EOPC to MOPC to LOPC, yet not statistically significant. In PD, mortality significantly increased from EOPC (2,4%) to MOPC (3,6%) to LOPC (6,6%, p < 0,01). Additionally, significantly higher FTR rates could also be observed (EOPC 14,3%, MOPC 13,6%; LOPC 21,6%; p < 0,05). Risk predictors for major complications To further analyze potential predictors regarding the risk of major complications (Clavien-Dindo ³ 3a) logistic regression was calculated separately for PD and DP. In the PD group, increasing age (OR 1,24 [95% CI 1,13 - 1,36]; p = 0,001) and BMI (OR 1,02 [95% CI 1,00 - 1,04]; p = 0,013) as well as an ASA score of 3 or 4 (OR 1,44 [95% CI 1,21 - 1,73]; p = 0,001) was associated with a significantly increased risk of major complications. An enlarged pancreatic duct > 3mm (OR 0,75 [95% CI 0,60 - 0,92] p = 0,006) and hard pancreatic tissue (OR 0,69 [95% CI 0,56 - 0,84] p = 0,001) were associated with a significant reduction of major complications. Most important, hospitals certified as a pancreatic center by the DGAV (Deutsche Gesellschaft für Allgemein- und Viszeralchirurgie), showed a significant reduction for the occurrence of major complications (Table 3). In multivariable regression analysis, age, ASA score and pancreatic texture were significantly associated with the risk of major complications. In contrast to PD, no analyzed factor showed a significant association with the risk of major complications in DP (Table 3). Discussion In the present study, we compared postoperative outcomes after pancreatic resections in patients with PDAC and explored differences between age groups by using the German nationwide pancreatic surgery registry (DGAV StuDoQ|Pancreas). After PD, older patients did not only suffer more frequently from complications in general, but also from major complications (Clavien-Dindo ≥ 3a). Comparing EOPC to LOPC, major complication rates almost doubled (16,9% vs. 30,7%) and mortality rates almost tripled (2,4% vs. 6,6%). The latter is mainly due to significantly higher failure-to-rescue rates in the elder population (21,6% vs. 14,3%). After DP we observed similar trends without reaching statistical significance. Furthermore, in both PD and DP, an increased age was associated with a higher burden of comorbidities and a prolonged stay in the hospital as well as on the ICU. With regards to age, there is currently no unanimous definition of cut-off age values for the categories EOPC or LOPC. For EOPC, research groups have focused on patients younger than 45 [ 6 ] or even 40 years [ 18 ]. However, the majority included patients younger than 50 years of age [ 3 , 5 , 19 ] which lead us to use the same thresholds in this study for EOPC. Age greater than 70 years is usually defined as the cut off for the definition of elderly patients [ 20 ]; moreover, the median age of diagnosis for PDAC is 70 years [ 2 ]. Taken both facts together, we applied this reference age in our cohort and classified patients older than 70 years as LOPC. When analyzing perioperative parameters, we surprisingly found a significantly lower median operation time from EOPC to LOPC in both resection groups. Although speculative, this might be related to more radical and thus, time-consuming, surgical approaches in patients with EOPC, due to more advanced and aggressive tumor stages, reflected by larger tumors and more advanced AJCC stages [ 6 , 21 , 22 ]. However, in this regard, tumor size and lymph node status did not differ significantly between the three age groups of our study population. Yet, this study lacks data on neoadjuvant chemotherapy, indicative of more advanced tumor stages or data on vessel or multivisceral resections, which also contribute to longer operational duration [ 23 , 24 ]. In patients undergoing PD, CA19-9 values significantly increased from EOPC to LOPC. In the DP group, CA19-9 values increased with age, yet this change was not statistically significant. However, in PD, bilirubin values also increased with age. Since observational studies showed that cholestasis can cause elevated CA19-9 levels [ 25 ], it remains uncertain if the observed elevated CA19-9 values in the elder population are influenced by cholestasis or due to a different tumor biology. Additionally, in benign hepatobiliary conditions, age showed a significant correlation with elevated CA19-9 levels [ 26 ], indicating that differing CA19-9 levels might not be caused by different tumor biology amongst age groups. Regarding pancreatic duct size, an enlarged pancreatic duct was observed more frequently in older age groups in the PD group. This may be part of a natural process as with increasing age, the pancreas can undergo an increase in density and firmness, accompanied by a uniform and widespread enlargement of the pancreatic duct [ 27 ]. Despite the known risk reduction of POPF associated with an enlarged pancreatic duct [ 28 ], typical complications after pancreatic resection such as POPF, DGE and PPH did not significantly differ between age or resection groups. Slightly higher rates of DGE were observed in the elderly, which is in line with findings of a meta-analysis that investigated outcomes after PD in octogenarians [ 29 ]. Higher rates of POPF after DP compared to PD are consistent with previous findings [ 30 ]. Our findings revealed both, an increasing age as well as an elevated ASA score as main predictors for the occurrence of major complications in PD. Elevated BMI, soft pancreatic tissue and a narrow pancreatic duct also increased the risk of major complications. These findings are in line with previous results which have demonstrated these risk factors to be major predictors of clinically relevant POPF [ 31 ]. In contrast, for patients who were treated in hospitals that were certified by the DGAV (German society of General and Visceral surgery) for pancreatic surgery, the occurrence of major complications was significantly reduced. It is well established that patients undergoing major pancreatic resections exhibit better outcomes when admitted to high volume hospitals [ 32 ] and a recent analysis showed that an increased number of pancreatic resections was associated with more frequent textbook outcomes in PD [ 33 ]. Consequently, certification was introduced to enhance said known positive effects of centralization in pancreatic surgery. Certification for pancreatic surgery of the DGAV requires amongst others a minimum of 40 pancreatic resections per year [ 34 ]. In contrast, and surprisingly, risk factors associated with major complications in PD did not predict major complications in DP. This might be due to a statistical effect caused by fewer case numbers in the DP group, smaller operational trauma and lack of pancreatic anastomosis in DP, leading to smaller differences between age groups or actually due to no effect. It is known that after pancreatic resections, elder patients suffer more frequently from non-surgical complications such as pneumonia [ 35 , 36 ] or cardiac events [ 29 ]. Also, higher FTR rates, defined as in-hospital mortality in patients with a major complication, lead to higher mortality [ 37 ]. In this context, our results demonstrate that with increasing age, FTR rates significantly increase in PD. In DP, a similar trend can be observed. Altogether, it must be stated that in elderly patients, non-surgical complications occur more frequently, and when complications (surgical or non-surgical) occur, a failure to rescue is more likely. However, more specialized pancreatic centers with higher volumes are better prepared for the care of elderly and high-risk patients, demonstrating good outcomes despite complications [ 38 ]. Recent studies reported that patients with EOPC exhibit better overall survival [ 21 ] while elderly patients were at increased risk of worse overall survival after pancreatic surgery. This seems to be more pronounced in very old patients, in particular octogenarians [ 39 ]. Taken together, our findings support the concept that pancreatic resections in the elderly can be carried out safely. Importantly, pancreatic surgery-specific complications such as POPF, DGE or PPH do not occur more frequently in elder patients. However, higher failure to rescue rates in LOPC lead to increased mortality. While our data indicate that elder patients can very well undergo pancreatic surgery with little surgery-specific complications, they should undergo treatment at specialized, high volume centers with top level expertise, because it reduces the likelihood major complications. This is further highlighted by the fact that elder patients or patients treated at low-volume centers are less likely to undergo adjuvant chemotherapy [ 40 , 41 ], yet it substantially improves overall survival [ 42 ]. Although a high number of patients was included, this study has limitations, in particular due to its retrospective nature. Furthermore, a vast majority of procedures was carried out as open surgeries, making it unclear if these results are transferable in an area of expanding minimally-invasive and robotic surgery [ 43 ]. Future research might address the question if especially elder patients benefit from minimally-invasive approaches and explore other factors that might reduce failure to rescue rates in the elder. Conclusion Age has a pronounced impact on the perioperative outcomes after pancreatic resections of PDAC. This effect is more prevalent in PD compared to DP. For the elder age group, the risk of major complications significantly increases, although surgery specific complications such as POPF, DGE or PPH do not occur more frequently. In the same subgroup of older patients, mortality increases mainly secondary to higher FTR rates. For resections of the pancreatic head, we were able to define critical risk factors for major postoperative complications; these include increasing age, an elevated ASA score, BMI as well as a soft pancreatic texture. In contrast, certified centers (DGAV) reduce the rate of complications and mortality. Thus, centralization of pancreatic surgery in high-volume centers with certified quality management is key to improve the outcome of pancreatic surgery in Germany and worldwide. Abbreviations ASA ASA physical status classification system BMI Body mass index CA19-9 Tumor marker carbohydrate antigen 19-9 CEA Tumor marker carcinoembryonic antigen CI Confidence interval DGAV German Society for General and Visceral Surgery Deutsche Gesellschaft für Allgemein- und Viszeralchirurgie DGE Delayed gastric emptying DM Diabetes mellitus DP Distal pancreatectomy EOPC Early-onset pancreatic cancer FTR Failure to rescue ICD International Classification of Diseases ICU Intensive care unit LOPC Late-onset pancreatic cancer MOPC Middle-onset pancreatic cancer OR Odds ratio PD Pancreaticoduodenectomy PDAC Pancreatic ductal adenocarcinoma POPF Postoperative pancreatic fistula PPH Postpancreatectomy hemorrhage PPPD Pylorus-preserving pancreaticoduodenectomy Declarations Ethics approval and consent to participate: As irreversibly anonymized data was retrospectively analyzed, the present study was deemed for exemption by the current regulations of the medical faculty of the LMU University of Munich (Ethikkommission der Medizinischen Fakultät der LMU München, Pettenkoferstrasse 8, 80336 München). All methods were carried out in accordance with relevant guidelines and regulations. Consent for publication: All authors read and approved the final manuscript. Availability of data and materials: Data extraction and analysis received approval from the StuDoQ steering committee and was conducted in compliance with StuDoQ data protection guidelines (StuDoQ-2019-0010). The Society for Technology, Methods, and Infrastructure for Networked Medical Research (TMF) approved the concept of informed consent and data safety [17]. All data are property of the German Society of General and Visceral Surgery, but can be consulted upon request. Competing interests: The authors declare that they have no competing interests. Funding: FOH received grants for research leave and supplies sponsored by the Bavarian Centre for Cancer Research (BZKF), by the Munich Clinician Scientist Program (MCSP) FoeFoLe+, and by the German Cancer Consortium (DKTK) in cooperation with the German Cancer Research Center (DKFZ). Authors’ contributions: Conceptualization: TT, FOH, MI Methodology: TT, FOH, MH, MI Formal Analysis: TT, FOH, MI Investigation: TT, FOH, BR, MH, CK, HJB, WU, STM, TK, CR, MG, JGD, JW, MI Resources: BR, CK, HJB, WU, STM, TK, CR, MG, JGD, JW, MI Writing – Original Draft: TT Writing – Review & Editing: TT, FOH, MH, STM, CR, JGD, JW, MI. Supervision: JW, MI. References Siegel, R.L., et al., Cancer statistics, 2022. CA Cancer J Clin, 2022. 72 (1): p. 7-33. Raimondi, S., et al., Early onset pancreatic cancer: evidence of a major role for smoking and genetic factors. Cancer Epidemiol Biomarkers Prev, 2007. 16 (9): p. 1894-7. 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Tables Table 1: Clinicopathologic variables of patients with early-, middle- or late-onset pancreatic adenocarcinomas reported by the StuDoQ database (2014–2019) Study cohort Total (n = 3011) EOPC (n = 110) MOPC (n = 1399) LOPC (n = 1502) Type of surgery PD 2412 (80.1%) DP 599 (19.9%) Pancreaticoduodenectomy Distal Pancreatectomy P value Onset EOPC 83 MOPC 1123 LOPC 1206 EOPC 27 MOPC 276 LOPC 296 Age, median (years) 70.5 70.0 46.0 62.0 77.0 46.0 62.0 77.0 ASA P PD < 0.05 P DP < 0.001 1 92 (3.8%) 29 (4.8%) 8 (9.6%) 58 (5.2%) 26 (2.2%) 3 (11.1%) 23 (8.3%) 3 (1.0%) 2 1018 (42.2%) 272 (45.4%) 44 (53.1%) 532 (47.4%) 442 (36.7%) 15 (55.6%) 135 (48.9%) 122 (41.2%) 3 1253 (51.9%) 287 (47.9%) 31 (37.3%) 522 (46.5%) 700 (58.0%) 9 (33.3%) 115 (41.7%) 163 (55.1%) 4 48 (2.0%) 11 (1.8%) - 11 (1.0%) 37 (3.1%) - 3 (1.1%) 8 (2.7%) 5 1 (0.01%) - - 1 (0.1%) - - - unknown - - - - - - BMI. median (kg/m 2 ) 24.8 25.1 24.9 25.1 24.7 25.3 25.3 24.9 P PD < 0.05 P DP = 0.26 Tumor Size (cm) P PD = 0.84 P DP = 0.77 4.0 1337 (55.4%) 347 (57.9%) 49 (59.0%) 619 (55.1%) 669 (55.5%) 16 (59.3%) 159 (57.6%) 172 (58.1%) Unknown 1 (0.01%) 3 (0.5%) - - 1 (0.1%) - - 3 (1.0%) Grading P PD = 0.18 P DP < 0.05 G1 87 (3.6%) 27 (4.5%) 5 (6.0%) 41 (3.7%) 41 (3.4%) 4 (14.8%) 16 (5.8%) 7 (2.4%) G2 1307 (54.2%) 324 (54.1%) 38 (45.8%) 627 (55.8%) 642 (53.2%) 9 (33.3%) 142 (51.4%) 173 (58.4%) G3 935 (38.8%) 208 (34.7%) 34 (41.0%) 411 (36.6%) 490 (40.6%) 11 (40.7%) 95 (34.4%) 102 (34.5%) G4 16 (0.7%) 3 (0.5%) - 10 (0.9%) 6 (0.5%) 1 (3.7%) 1 (0.4%) 1 (0.3%) Unknown 67 (2.8%) 37 (6.2%) 6 (7.2%) 34 (3.0%) 27 (2.3%) 2 (7.4%) 22 (8.0%) 13 (4.4%) Lymph node status P PD = 0.10 P DP = 0.11 Negative 726 (30.1%) 240 (40.1%) 28 (33.7%) 314 (28.0%) 384 (31.9%) 16 (59.3%) 106 (38.4%) 118 (39.9%) Positive 1685 (69.9%) 358 (59.8%) 55 (66.3%) 809 (72.0%) 821 (68.0%) 11 (40.7%) 170 (61.6%) 177 (59.8%) Unknown 1 (0.01%) 1 (0.2%) - - 1 (0.1%) - - 1 (0.3%) Diabetes mellitus 83 1123 1206 27 276 296 P PD < 0.001 P DP = 0.20 No 1710 (70.9%) 444 (74.1%) 37 (88.0%) 818 (72.8%) 819 (67.9%) 22 (81.5%) 294 (73.9%) 218 (73.6%) Yes, NIDDM2 327 (13.6%) 84 (14.0%) 2 (2.4%) 127 (11.3%) 198 (16.4%) 3 (11.1%) 32 (11.6%) 49 (16.6%) Yes, IDDM2 375 (15.5%) 71 (11.9%) 8 (9.6%) 178 (15.9%) 189 (15.7%) 2 (7.4%) 40 (14.5%) 29 (9.8%) Unknown - - - - - - - - Preop Bilirubin, median (mg/dl) 1.9 (n = 2236) 0.5 (n = 552) 1.6 (n = 78) 1.6 (n = 1038) 2.2 (n = 1120) 0.5 (n = 26) 0.5 (n = 250) 0.5 (n = 276) P PD < 0.05 P DP < 0.05 Tumor marker CEA, Median (ng/ml) 3.1 (n = 1774) 3.0 (n = 435) 2.8 (n = 64) 3.1 (n = 831) 3.1 (n = 879) 2.0 (n = 20) 2.9 (n = 202) 3.1 (n = 213) P PD = 0.14 P DP = 0.19 CA19-9, median (U/ml) 133.0 (n = 2002) 76.0 (n = 479) 86.0 (n = 70) 115.1 (n = 950) 158.5 (n = 982) 48.1 (n = 23) 67.1 (n = 216) 92.5 (n = 240) P PD < 0.001 P DP = 0.18 Pancreatic duct width P PD < 0.001 P DP < 0.05 Normal ( 3mm) 862 (35.7%) 38 (6.3%) 21 (25.3%) 362 (32.2%) 479 (39.7%) 19 (70.4%) 10 (3.6%) 28 (9.5%) Unknown 668 (27.7%) 310 (51.8%) 30 (36.1%) 319 (28.4%) 319 (26.5%) - 155 (56.2%) 136 (45.9%) Pancreatic texture P PD = 0.50 P DP = 0.81 soft 885 (36.7%) 276 (46.1%) 23 (27.7%) 411 (36.6%) 451 (37.4%) 11 (40.7%) 127 (46.0%) 138 (46.6%) hard 985 (40.8%) 113 (18.9%) 32 (38.6%) 473 (42.1%) 480 (39.8%) 3 (11.1%) 54 (19.6%) 56 (18.9%) Unknown 542 (22.5%) 210 (35.1%) 28 (33.7%) 239 (21.3%) 275 (22.8%) 13 (48.1%) 95 (34.4%) 102 (34.5%) Baseline characteristics according to PD and DP and according to age group, stratified regarding type of resection (PD vs. DP). Continuous data are shown as median, categorial data are shown as absolute (relative). Kruskal - Wallis test, Pearson’s chi square test and Fisher’s exact test used, comparing PD and DP resection within Early-, Middle- and Late-Onset group. PD = Pancreaticoduodenectomy, DP = Distal pancreatectomy, BMI = Body mass index, EOPC = early-onset pancreatic cancer, MOPC = middle-onset pancreatic cancer, LOPC = late-onset pancreatic cancer, CEA = Tumor marker carcinoembryonic antigen, CA19-9 =Tumor marker carbohydrate antigen 19-9. Table 2: Perioperative variables and outcomes of patients with early-, middle- or late-onset pancreatic adenocarcinoma stratified regarding type of resection (PD vs. DP). Type of surgery PD (n = 2.412) DP (n = 599) Pancreaticoduodenectomy Distal Pancreatectomy P value Onset EOPC (n = 83) MOPC (n = 1123) LOPC (n = 1.206) EOPC (n = 27) MOPC (n = 276) LOPC (n = 296) Median duration (min) 330 212 352 342 320 240 218.5 203 P PD < 0.01 P DP < 0.01 Median stay (days) 16 14.5 15 15 17 12 14 15 P PD < 0.01 P DP < 0.05 Median stay ICU (day) 3 1 2 2 3 1 1 2 P PD < 0.01 P DP = 0.07 Resection status P PD = 0.87 P DP = 0.69 R0* 918 (38.1%) 235 (39.2%) 28 (33.7%) 414 (36.9%) 476 (39.6%) 10 (37.0%) 101 (36.6%) 124 (41.9%) R0 narrow 335 (13.9%) 76 (12.7%) 11 (13.3%) 166 (14.8%) 158 (13.1%) 3 (11.1%) 34 (12.3%) 39 (13.2%) R0 wide 579 (24.0%) 137 (22.9%) 23 (27.7%) 275 (24.5%) 281 (23.3%) 9 (33.3%) 71 (25.7%) 57 (19.3%) R1 526 (21.8%) 132 (22.0%) 20 (24.1%) 246 (21.9%) 260 (21.6%) 5 (18.5%) 60 (21.7%) 67 (22.6%) R2 26 (1.1%) 5 (0.8%) 1 (1.2%) 11 (1.0%) 14 (1.2%) - 2 (0.7%) 3 (1.0%) Unknown 28 (1.2%) 14 (2.3%) - 11 (1.0%) 17 (1.4%) - 8 (2.9%) 6 (2.0%) POPF P PD = 0.48 P DP = 0.35 None 2075 (86.0) 380 (63.4%) 71 (85.5%) 958 (85.3%) 1046 (86.7%) 18 (66.7%) 174 (63.0%) 188 (63.5%) BL 146 (6.1%) 78 (13.0%) 7 (8.4%) 75 (6.7%) 64 (5.3%) 6 (22.2%) 31 (11.2%) 41 (13.9%) B 106 (4.4%) 100 (16.7%) 3 (3.6%) 55 (4.9%) 48 (4.0%) 2 (7.4%) 54 (19.6%) 44 (14.9%) C 85 (3.5%) 41 (6.8%) 2 (2.4%) 35 (3.1%) 48 (4.0%) 1 (3.7%) 17 (6.2%) 23 (7.8%) CR-POPF P PD = 0.82 P DP = 0.20 No 2221 (92.1%) 458 (76.5%) 78 (94.0%) 1033 (92.0%) 1110 (92.0%) 24 (88.9%) 205 (74.3%) 229 (77.4%) Yes 191 (7.9%) 141 (23.5%) 5 (6.0%) 90 (8.0%) 96 (8.0%) 3 (11.1%) 71 (25.7%) 67 (22.6%) PPH P PD = 0.57 P DP = 0.77 None 2154 (89.3%) 570 (95.2%) 76 (91.6%) 1004 (89.4%) 1074 (89.1%) 26 (96.3%) 261 (94.6%) 283 (95.6%) A 49 (2.0%) 8 (1.3%) 1 (1.2%) 18 (1.6%) 30 (2.5%) - 5 (1.8%) 3 (1.0%) B 100 (4.1%) 10 (1.7%) 3 (3.6%) 43 (3.8%) 54 (4.5%) - 6 (2.2%) 4 (1.4%) C 109 (4.5%) 11 (1.8%) 3 (3.6%) 58 (5.2%) 48 (4.0%) 1 (3.7%) 4 (1.4%) 6 (2.0%) DGE P PD = 0.35 P DP = 0.47 None 1929 (80.0%) 529 (88.3%) 73 (88.0%) 902 (80.3%) 954 (79.1%) 24 (88.9%) 247 (89.5%) 258 (87.2%) A 243 (10.1%) 43 (7.2%) 7 (8.4%) 109 (9.7%) 127 (10.5%) 3 (11.1%) 21 (7.6%) 19 (6.4%) B 160 (6.6%) 16 (2.7%) 3 (3.6%) 78 (6.9%) 79 (6.6%) - 5 (1.8%) 11 (3.7%) C 80 (3.3%) 11 (1.8%) 34 (3.0%) 46 (3.8%) - 3 (1.1%) 8 (2.7%) Clavien-Dindo P PD < 0.01 P DP = 0.24 None 1065 (44.2%) 278 (46.4%) 44 (53.0%) 524 (46.7%) 497 (41.2%) 12 (44.4%) 138 (50.0%) 128 (43.2%) Grade 1 227 (9.4%) 61 (10.2%) 8 (9.6%) 117 (10.4%) 102 (8.5%) 6 (22.2%) 25 (9.1%) 30 (10.1%) Grade 2 442 18.3%) 120 (20.0%) 17 (20.5%) 188 (16.7%) 237 (19.7%) 6 (22.2%) 52 (18.8%) 62 (20.9%) Grade 3a 218 (9.0%) 72 (12.0%) 3 (3.6%) 99 (8.8%) 116 (9.6%) - 34 (12.3%) 38 (12.8%) Grade 3b 231 (9.6%) 34 (5.7%) 5 (6.0%) 112 (10.0%) 114 (9.5%) 2 (7.4%) 16 (5.8%) 16 (5.4%) Grade 4a 81 (3.4%) 20 (3.3%) 3 (3.6%) 29 (2.6%) 49 (4.1%) 1 (3.7%) 9 (3.3%) 10 (3.4%) Grade 4b 26 (1.1%) 3 (0.5%) 1 (1.2%) 14 (1.2%) 11 (0.9%) - - 3 (1.0%) Grade 5 (death) 122 (5.1%) 11 (1.8%) 2 (2.4%) 40 (3.6%) 80 (6.6%) - 2 (0.7%) 9 (3.0%) Com- plication P PD < 0.01 P DP = 0.18 None/Minor (Clavien-Dindo < 3a) 1734 (71.9%) 459 (76.6%) 69 (83.1%) 829 (73.8%) 836 (69.3%) 24 (88.9%) 215 (77.9%) 220 (74.3%) Major (Clavien-Dindo ³ 3a) 678 (28.1%) 140 (23.4%) 14 (16.9%) 294 (26.2%) 370 (30.7%) 3 (6.3%) 61 (22.1%) 76 (25.7%) Mortality P PD < 0.01 P DP = 0.13 No 2290 (94.9%) 588 (98.2%) 81 (97.6%) 1083 (96.4%) 1126 (93.4%) 27 (100%) 274 (99.3%) 287 (97.0%) Yes 122 (5.1%) 11 (1.8%) 2 (2.4%) 40 (3.6%) 80 (6.6%) - 2 (0.7%) 9 (3.0%) Failure to resuce P PD < 0.05 P DP = 0.21 122 (18.0%) 11 (7.9%) 2 (14.3%) 40 (13.6%) 80 (21.6%) - 2 (3.3%) 9 (11.8%) Overall outcomes according to PD and DP and according to age group. Continuous data are shown as median, categorial data are shown as absolute (relative). Kruskal- Wallis test, Pearson’s chi square test and Fisher’s exact test used, comparing PD and DP resection within Early-, Middle- and Late-Onset group. Post hoc testing was calculated with Jonckheere-Terpstra test. ICU = intensive care unit, POPF = postoperative pancreatic fistula, PPH = postpancreatectomy hemorrhage, DGE = delayed gastric emptying; * = narrow or wide not indicated. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 04 Jan, 2025 Read the published version in BMC Surgery → Version 1 posted Editorial decision: Revision requested 07 May, 2024 Submission checks completed at journal 02 May, 2024 Editor assigned by journal 02 May, 2024 First submitted to journal 22 Apr, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4307531","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":299581377,"identity":"509e21f6-01c7-4054-8042-577d3eb55cb0","order_by":0,"name":"Tengis Tschaidse","email":"","orcid":"","institution":"LMU University Hospital Munich, LMU Munich","correspondingAuthor":false,"prefix":"","firstName":"Tengis","middleName":"","lastName":"Tschaidse","suffix":""},{"id":299581380,"identity":"d3efbd05-359e-4816-9633-42f23799bfae","order_by":1,"name":"Felix O. 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On average, diagnosis of PDAC occurs after the sixth decade of life, but around 5% \u0026minus;\u0026thinsp;10% of patients are diagnosed with 50 years of age or younger [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. This group can be referred to as early-onset pancreatic cancer (EOPC). While the incidence of early-onset cancer in general seems to be increasing, EOPC has one of the fastest growing incidence rates observed [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Even though EOPC aggregates only 1% \u0026minus;\u0026thinsp;5% of the total deaths from pancreatic cancer, it accounts for 20\u0026ndash;30% of the total numbers of years-of-life-lost caused by the disease [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Thus, understanding the perioperative outcomes and risk factors specific to EOPC is imperative to improve overall management and patient outcomes. Due to this limited knowledge about EOPC, it is questionable if established risk factors, derived mostly from an elder population, are equally applicable for this rare subgroup. In general, patients with EOPC seem to present in more advanced stages with frequent metastases and poor survival [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. However, a recent analysis in two high volume institutions has demonstrated that in instances when resection in EOPC is feasible, satisfactory oncologic outcomes are achievable, even though patients frequently present with advanced tumors [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Still, EOPC remains poorly characterized, necessitating further investigation to optimize treatment strategies for this specific patient subset.\u003c/p\u003e \u003cp\u003eConversely, by the end of this decade patients aged 65 and older will make up 70% of all patients diagnosed with cancer [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. For elderly patients with PDAC, available data suggest that with increased age, perioperative risks increase, too [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Yet, surgical resection remains the only option for cure in patients with PDAC. Pylorus-preserving pancreaticoduodenectomy (PPPD) or Whipple\u0026rsquo;s procedure is necessary to remove PDAC of the head, which accounts for 60\u0026ndash;70% of all PDAC. In contrast, distal pancreatectomy (DP) is required for PDAC in the pancreatic body or tail region, which accounts for 20\u0026ndash;25% of all PDAC [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAs perioperative morbidity and mortality differs between PPPD/Whipple\u0026rsquo;s and DP, the aim of this study was to compare perioperative outcomes according to resection type while adjusting for different age groups.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n \u003ch2\u003eStuDoQ|Pancreas registry\u003c/h2\u003e\n \u003cp\u003eData obtained from the StuDoQ|Pancreas registry, which is maintained by the German Society for General and Visceral Surgery (DGAV), was retrospectively analyzed. StuDoQ|Pancreas is a registry specifically designed for pancreatic surgery in Germany and was established in September 2013 to assess quality. Over 60 institutions contributed to the registry at the time of this study. Pseudonymized data from participating centers were entered into a web-based tool with automatic plausibility checks. Annual certification involved validation through cross-checking with institutional medical data.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n \u003ch2\u003eStudy cohort\u003c/h2\u003e\n \u003cp\u003eEligibility was assessed for all patients who had provided written informed consent at the respective study site and underwent elective surgery between January 2014 and December 2019. All patients with histopathologic diagnosis of PDAC in the head, body or tail who received oncologic resection (Whipple\u0026rsquo;s procedure, PPPD or DP) were included. Patients were excluded when localization of PDAC did not match with operational technique. Patients were grouped into Early- (\u0026lt;\u0026thinsp;50 years) (EOPC), Middle- (50\u0026ndash;70 years) (MOPC) and Late- (\u0026gt;\u0026thinsp;70 years) onset (LOPC), and all analyses were conducted after stratification of Whipple\u0026rsquo;s operation and PPPD into PD in contrast to DP. The flow chart for the final study cohort can be seen under Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\n \u003ch2\u003eData\u003c/h2\u003e\n \u003cp\u003eApart from surgical procedure, obtained data included baseline parameters (e.g., age, body mass index (BMI), ASA physical status classification system (ASA), preoperative diabetes mellitus (DM), preoperative serum markers (bilirubin, CA19-9, CEA)), perioperative parameters (e.g., length of surgery, postoperative days in hospital and on intensive care unit (ICU), TNM classification and DGAV certification of the surgical department) as well as postoperative outcomes and complications (e.g., occurrence of postoperative pancreatic fistula (POPF) [\u003cspan class=\"CitationRef\"\u003e11\u003c/span\u003e], delayed gastric emptying (DGE) [\u003cspan class=\"CitationRef\"\u003e12\u003c/span\u003e], postpancreatectomy hemorrhage (PPH) [\u003cspan class=\"CitationRef\"\u003e13\u003c/span\u003e] as defined by the ISGPS). Postoperative complications were graded according to the Clavien-Dindo classification [\u003cspan class=\"CitationRef\"\u003e14\u003c/span\u003e] and dichotomized into minor (grade \u0026le; 2) or major (grade \u0026ge; 3a). Failure to rescue rates (FTR) were calculated by dividing deaths in patients by patients with major complications, in accordance with previously described literature [\u003cspan class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e16\u003c/span\u003e]. Data extraction and analysis received approval from the StuDoQ steering committee and was conducted in compliance with StuDoQ data protection guidelines (StuDoQ-2019-0010). The Society for Technology, Methods, and Infrastructure for Networked Medical Research (TMF) approved the concept of informed consent and data safety [\u003cspan class=\"CitationRef\"\u003e17\u003c/span\u003e]. All data are property of the German Society of General and Visceral Surgery, but can be consulted upon request.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\n \u003ch2\u003eStatistics\u003c/h2\u003e\n \u003cp\u003eVariables were tested for normality by analyzing histograms and Shapiro-Wilk test. Non-normal distributions were reported in median and compared using Kruskal-Wallis tests. For post hoc testing, Jonckheere-Terpstra test was carried out. Categorial variables were compared using Pearson\u0026rsquo;s chi square tests or Fisher\u0026rsquo;s exact tests. Missing values were not included into testing.\u003c/p\u003e\n \u003cp\u003eUni- and multivariable logistic regression was used to investigate the association between potential risk factors and the occurrence of major complications (Clavien-Dindo \u0026ge; 3a). Missing values\u003c/p\u003e\n \u003cp\u003eFor the statistical analysis, SPSS version 28.0.1.1 (14) was utilized.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003ePatient characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study cohort included 3011 patients with confirmed PDAC who underwent resection between 2014 and 2019. Of these, 2412 (80,1%) underwent Whipple\u0026rsquo;s procedure or PPPD, which was combined to a PD group. In contrast, 599 patients (19,9%) underwent DP. Patients were grouped according to their age in early-onset pancreatic cancer (EOPC; 18-49 years, n\u0026nbsp;=\u0026nbsp;110 (3,7%) in total), middle-onset pancreatic cancer (MOPC, 50-70 years, n = 1399 (46,5%) in total) and late-onset pancreatic cancer (LOPC; \u0026gt; 70 years, n = 1502 (49,8%) in total).\u003c/p\u003e\n\u003cp\u003eIn the PD group, EOPC consisted of 83 (3,4%), MOPC of 1123 (46,6%) and LOPC of 1206 (50,0%) patients. The DP group comprised 27 patients (4,5%) with EOPC, 276 (46,1%) with MOPC, and 296 (49,4%) with LOPC respectively. ASA scores differed in the PD (p \u0026lt; 0,05) and DP (p \u0026lt; 0,001) group across the different age groups. In the PD group, patients of the MOPC group tended to have a slightly elevated BMI (p \u0026lt; 0,05), whereas in the DP group BMI did not vary. In the PD group, with increasing age, DM was found with a significantly higher incidence preoperatively (p \u0026lt; 0,001); this was not the case for patients undergoing DP.\u003c/p\u003e\n\u003cp\u003ePreoperative bilirubin levels differed in the PD and DP group across the different ages. Tumor markers CEA and CA19-9 tended to be more elevated with increasing age, this difference was only significant for CA19-9 in the PD group. In the PD group, an enlarged pancreatic duct (PD) width was found with increasing age, while the opposite trend was seen in the DP group. There was no difference observed in pancreatic texture. Likewise, neither tumor size nor lymph node status diverged between age groups for both resection types. A summary of all the baseline characteristics can be seen under Table 1.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerioperative outcomes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe majority of all operations was carried out as open operations (2838/3011; 94%). Only 54 (1,8%)\u0026nbsp;of the total 3011 operations were performed laparoscopically while the rest was either laparoscopically assisted (45/3011; 1,5%) or secondarily converted to open surgery (73/3011, 2,4%); thus, comparisons between open and laparoscopic surgery was not feasible due to the small case numbers. For both PD and DP, the operating time was significantly shorter in EOPC compared to MOPC and to LOPC (p \u0026lt; 0,01 and p \u0026lt; 0,01; Table 2). In contrast, for both PD and DP, length of hospital stay was longer for patients with LOPC compared to MOPC and to EOPC (p \u0026lt; 0,01 and p\u0026nbsp;\u0026lt;\u0026nbsp;0,05; Table 2). For patients receiving PD, length of stay on the ICU got significantly longer from EOPC to LOPC (p \u0026lt; 0,01) but did not differ for patients in the DP group (p\u0026nbsp;=\u0026nbsp;0,07;\u0026nbsp;Table 2). Resection (R) status did not differ and comparable rates of R0 resections were achieved and can be seen in Table\u0026nbsp;2.\u003c/p\u003e\n\u003cp\u003eWe did not detect a difference in the occurrence of POPF, PPH or DGE between different age groups and resection techniques (Table 2, Figure 2). However, in patients undergoing PD, complications graded after Clavien-Dindo occurred more frequently in LOPC compared to MOPC and EOPC (p \u0026lt; 0,01; Table 2). Similarly, in patients undergoing PD, major complications (Clavien-Dindo \u0026sup3; 3a) were observed more frequently in LOPC (370/1206, 30,7%) than in MOPC (294/1123, 26,2%) and EOPC (14/83, 16,9%%; p \u0026lt; 0,01; Table 2). In DP, there was a trend of increased mortality and FTR rates from EOPC to MOPC to LOPC, yet not statistically significant. In PD, mortality significantly increased from EOPC (2,4%) to MOPC (3,6%) to LOPC (6,6%, p \u0026lt; 0,01). Additionally, significantly higher FTR rates could also be observed (EOPC 14,3%, MOPC 13,6%; LOPC 21,6%; p \u0026lt; 0,05).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRisk predictors for major complications\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo further analyze potential predictors regarding the risk of major complications (Clavien-Dindo\u0026nbsp;\u0026sup3;\u0026nbsp;3a) logistic regression was calculated separately for PD and DP.\u003c/p\u003e\n\u003cp\u003eIn the PD group, increasing age (OR 1,24 [95% CI 1,13 - 1,36]; p = 0,001) and BMI (OR 1,02 [95% CI 1,00 - 1,04]; p = 0,013) as well as an ASA score of 3 or 4 (OR 1,44 [95% CI 1,21 - 1,73]; p = 0,001) was associated with a significantly increased risk of major complications. An enlarged pancreatic duct \u0026gt; 3mm (OR 0,75 [95% CI 0,60 - 0,92] p = 0,006) and hard pancreatic tissue (OR 0,69 [95% CI 0,56 - 0,84] p = 0,001) were associated with a significant reduction of major complications. Most important, hospitals certified as a pancreatic center by the DGAV (Deutsche Gesellschaft f\u0026uuml;r Allgemein- und Viszeralchirurgie), showed a significant reduction for the occurrence of major complications (Table 3).\u003c/p\u003e\n\u003cp\u003eIn multivariable regression analysis, age, ASA score and pancreatic texture were significantly associated with the risk of major complications.\u003c/p\u003e\n\u003cp\u003eIn contrast to PD, no analyzed factor showed a significant association with the risk of major complications in DP (Table 3).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn the present study, we compared postoperative outcomes after pancreatic resections in patients with PDAC and explored differences between age groups by using the German nationwide pancreatic surgery registry (DGAV StuDoQ|Pancreas). After PD, older patients did not only suffer more frequently from complications in general, but also from major complications (Clavien-Dindo \u0026ge; 3a). Comparing EOPC to LOPC, major complication rates almost doubled (16,9% vs. 30,7%) and mortality rates almost tripled (2,4% vs. 6,6%). The latter is mainly due to significantly higher failure-to-rescue rates in the elder population (21,6% vs. 14,3%). After DP we observed similar trends without reaching statistical significance. Furthermore, in both PD and DP, an increased age was associated with a higher burden of comorbidities and a prolonged stay in the hospital as well as on the ICU.\u003c/p\u003e \u003cp\u003eWith regards to age, there is currently no unanimous definition of cut-off age values for the categories EOPC or LOPC. For EOPC, research groups have focused on patients younger than 45 [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e] or even 40 years [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. However, the majority included patients younger than 50 years of age [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] which lead us to use the same thresholds in this study for EOPC. Age greater than 70 years is usually defined as the cut off for the definition of elderly patients [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]; moreover, the median age of diagnosis for PDAC is 70 years [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Taken both facts together, we applied this reference age in our cohort and classified patients older than 70 years as LOPC.\u003c/p\u003e \u003cp\u003eWhen analyzing perioperative parameters, we surprisingly found a significantly lower median operation time from EOPC to LOPC in both resection groups. Although speculative, this might be related to more radical and thus, time-consuming, surgical approaches in patients with EOPC, due to more advanced and aggressive tumor stages, reflected by larger tumors and more advanced AJCC stages [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. However, in this regard, tumor size and lymph node status did not differ significantly between the three age groups of our study population. Yet, this study lacks data on neoadjuvant chemotherapy, indicative of more advanced tumor stages or data on vessel or multivisceral resections, which also contribute to longer operational duration [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn patients undergoing PD, CA19-9 values significantly increased from EOPC to LOPC. In the DP group, CA19-9 values increased with age, yet this change was not statistically significant. However, in PD, bilirubin values also increased with age. Since observational studies showed that cholestasis can cause elevated CA19-9 levels [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e], it remains uncertain if the observed elevated CA19-9 values in the elder population are influenced by cholestasis or due to a different tumor biology. Additionally, in benign hepatobiliary conditions, age showed a significant correlation with elevated CA19-9 levels [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e], indicating that differing CA19-9 levels might not be caused by different tumor biology amongst age groups.\u003c/p\u003e \u003cp\u003eRegarding pancreatic duct size, an enlarged pancreatic duct was observed more frequently in older age groups in the PD group. This may be part of a natural process as with increasing age, the pancreas can undergo an increase in density and firmness, accompanied by a uniform and widespread enlargement of the pancreatic duct [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Despite the known risk reduction of POPF associated with an enlarged pancreatic duct [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e], typical complications after pancreatic resection such as POPF, DGE and PPH did not significantly differ between age or resection groups. Slightly higher rates of DGE were observed in the elderly, which is in line with findings of a meta-analysis that investigated outcomes after PD in octogenarians [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Higher rates of POPF after DP compared to PD are consistent with previous findings [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eOur findings revealed both, an increasing age as well as an elevated ASA score as main predictors for the occurrence of major complications in PD. Elevated BMI, soft pancreatic tissue and a narrow pancreatic duct also increased the risk of major complications. These findings are in line with previous results which have demonstrated these risk factors to be major predictors of clinically relevant POPF [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. In contrast, for patients who were treated in hospitals that were certified by the DGAV (German society of General and Visceral surgery) for pancreatic surgery, the occurrence of major complications was significantly reduced. It is well established that patients undergoing major pancreatic resections exhibit better outcomes when admitted to high volume hospitals [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e] and a recent analysis showed that an increased number of pancreatic resections was associated with more frequent textbook outcomes in PD [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. Consequently, certification was introduced to enhance said known positive effects of centralization in pancreatic surgery. Certification for pancreatic surgery of the DGAV requires amongst others a minimum of 40 pancreatic resections per year [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn contrast, and surprisingly, risk factors associated with major complications in PD did not predict major complications in DP. This might be due to a statistical effect caused by fewer case numbers in the DP group, smaller operational trauma and lack of pancreatic anastomosis in DP, leading to smaller differences between age groups or actually due to no effect.\u003c/p\u003e \u003cp\u003eIt is known that after pancreatic resections, elder patients suffer more frequently from non-surgical complications such as pneumonia [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e] or cardiac events [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Also, higher FTR rates, defined as in-hospital mortality in patients with a major complication, lead to higher mortality [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. In this context, our results demonstrate that with increasing age, FTR rates significantly increase in PD. In DP, a similar trend can be observed. Altogether, it must be stated that in elderly patients, non-surgical complications occur more frequently, and when complications (surgical or non-surgical) occur, a failure to rescue is more likely. However, more specialized pancreatic centers with higher volumes are better prepared for the care of elderly and high-risk patients, demonstrating good outcomes despite complications [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eRecent studies reported that patients with EOPC exhibit better overall survival [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e] while elderly patients were at increased risk of worse overall survival after pancreatic surgery. This seems to be more pronounced in very old patients, in particular octogenarians [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eTaken together, our findings support the concept that pancreatic resections in the elderly can be carried out safely. Importantly, pancreatic surgery-specific complications such as POPF, DGE or PPH do not occur more frequently in elder patients. However, higher failure to rescue rates in LOPC lead to increased mortality. While our data indicate that elder patients can very well undergo pancreatic surgery with little surgery-specific complications, they should undergo treatment at specialized, high volume centers with top level expertise, because it reduces the likelihood major complications. This is further highlighted by the fact that elder patients or patients treated at low-volume centers are less likely to undergo adjuvant chemotherapy [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e], yet it substantially improves overall survival [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAlthough a high number of patients was included, this study has limitations, in particular due to its retrospective nature. Furthermore, a vast majority of procedures was carried out as open surgeries, making it unclear if these results are transferable in an area of expanding minimally-invasive and robotic surgery [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. Future research might address the question if especially elder patients benefit from minimally-invasive approaches and explore other factors that might reduce failure to rescue rates in the elder.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eAge has a pronounced impact on the perioperative outcomes after pancreatic resections of PDAC. This effect is more prevalent in PD compared to DP. For the elder age group, the risk of major complications significantly increases, although surgery specific complications such as POPF, DGE or PPH do not occur more frequently. In the same subgroup of older patients, mortality increases mainly secondary to higher FTR rates. For resections of the pancreatic head, we were able to define critical risk factors for major postoperative complications; these include increasing age, an elevated ASA score, BMI as well as a soft pancreatic texture. In contrast, certified centers (DGAV) reduce the rate of complications and mortality. Thus, centralization of pancreatic surgery in high-volume centers with certified quality management is key to improve the outcome of pancreatic surgery in Germany and worldwide.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eASA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eASA physical status classification system\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eBMI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eBody mass index\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eCA19-9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eTumor marker carbohydrate antigen 19-9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eCEA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eTumor marker carcinoembryonic antigen\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eCI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eConfidence interval\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eDGAV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eGerman Society for General and Visceral Surgery\u003c/p\u003e\n \u003cp\u003eDeutsche Gesellschaft f\u0026uuml;r Allgemein- und Viszeralchirurgie\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eDGE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eDelayed gastric emptying\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eDM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eDiabetes mellitus\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eDP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eDistal pancreatectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eEOPC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eEarly-onset pancreatic cancer\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eFTR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eFailure to rescue\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eICD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eInternational Classification of Diseases\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eICU\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eIntensive care unit\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eLOPC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eLate-onset pancreatic cancer\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eMOPC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eMiddle-onset pancreatic cancer\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003eOR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003eOdds ratio\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003ePancreaticoduodenectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003ePDAC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003ePancreatic ductal adenocarcinoma\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003ePOPF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003ePostoperative pancreatic fistula\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003ePPH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003ePostpancreatectomy hemorrhage\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.364238410596027%\" valign=\"top\"\u003e\n \u003cp\u003ePPPD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"79.63576158940397%\" valign=\"top\"\u003e\n \u003cp\u003ePylorus-preserving pancreaticoduodenectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Declarations","content":"\u003cp\u003eEthics approval and consent to participate: As irreversibly anonymized data was retrospectively analyzed,\u0026nbsp;the present study was deemed for exemption by the current regulations of the medical faculty of the LMU University of Munich (Ethikkommission der Medizinischen Fakultät\u0026nbsp;der LMU München, Pettenkoferstrasse 8, 80336 München). All methods were carried out in accordance with relevant guidelines and regulations.\u003c/p\u003e\n\u003cp\u003eConsent for publication: All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003eAvailability of data and materials: Data extraction and analysis received approval from the StuDoQ steering committee and was conducted in compliance with StuDoQ data protection guidelines (StuDoQ-2019-0010). The Society for Technology, Methods, and Infrastructure for Networked Medical Research (TMF) approved the concept of informed consent and data safety\u0026nbsp;[17]. All data are property of the German Society of General and Visceral Surgery, but can be consulted upon request.\u003c/p\u003e\n\u003cp\u003eCompeting interests: The authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003eFunding: FOH received grants for research leave and supplies sponsored by the Bavarian Centre for Cancer Research (BZKF), by the Munich Clinician Scientist Program (MCSP) FoeFoLe+, and by the German Cancer Consortium (DKTK) in cooperation with the German Cancer Research Center (DKFZ).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAuthors’ contributions:\u003c/p\u003e\n\u003cp\u003eConceptualization: TT, FOH, MI\u003c/p\u003e\n\u003cp\u003eMethodology: TT, FOH, MH, MI\u003c/p\u003e\n\u003cp\u003eFormal Analysis: TT, FOH, MI\u003c/p\u003e\n\u003cp\u003eInvestigation: TT, FOH, BR, MH, CK, HJB, WU, STM, TK, CR, MG, JGD, JW, MI\u003c/p\u003e\n\u003cp\u003eResources: BR, CK, HJB, WU, STM, TK, CR, MG, JGD, JW, MI\u003c/p\u003e\n\u003cp\u003eWriting – Original Draft: TT\u003c/p\u003e\n\u003cp\u003eWriting – Review \u0026amp; Editing: TT, FOH, MH, STM, CR, JGD, JW, MI.\u003c/p\u003e\n\u003cp\u003eSupervision: JW, MI.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eSiegel, R.L., et al., \u003cem\u003eCancer statistics, 2022.\u003c/em\u003e CA Cancer J Clin, 2022. \u003cstrong\u003e72\u003c/strong\u003e(1): p. 7-33.\u003c/li\u003e\n\u003cli\u003eRaimondi, S., et al., \u003cem\u003eEarly onset pancreatic cancer: evidence of a major role for smoking and genetic factors.\u003c/em\u003e Cancer Epidemiol Biomarkers Prev, 2007. \u003cstrong\u003e16\u003c/strong\u003e(9): p. 1894-7.\u003c/li\u003e\n\u003cli\u003eKoh, B., et al., \u003cem\u003ePatterns in Cancer Incidence Among People Younger Than 50 Years in the US, 2010 to 2019.\u003c/em\u003e JAMA Netw Open, 2023. \u003cstrong\u003e6\u003c/strong\u003e(8): p. e2328171.\u003c/li\u003e\n\u003cli\u003eTingstedt, B., C. 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V., \u003cem\u003eDas Zertifizierungssystem der DGAV (ZertO 6.0).\u003c/em\u003e 2020.\u003c/li\u003e\n\u003cli\u003eOguro, S., et al., \u003cem\u003ePerioperative and long-term outcomes after pancreaticoduodenectomy in elderly patients 80 years of age and older.\u003c/em\u003e Langenbecks Arch Surg, 2013. \u003cstrong\u003e398\u003c/strong\u003e(4): p. 531-8.\u003c/li\u003e\n\u003cli\u003ede la Fuente, S.G., et al., \u003cem\u003ePre- and intraoperative variables affecting early outcomes in elderly patients undergoing pancreaticoduodenectomy.\u003c/em\u003e HPB (Oxford), 2011. \u003cstrong\u003e13\u003c/strong\u003e(12): p. 887-92.\u003c/li\u003e\n\u003cli\u003evan Rijssen, L.B., et al., \u003cem\u003eVariation in hospital mortality after pancreatoduodenectomy is related to failure to rescue rather than major complications: a nationwide audit.\u003c/em\u003e HPB (Oxford), 2018. \u003cstrong\u003e20\u003c/strong\u003e(8): p. 759-767.\u003c/li\u003e\n\u003cli\u003eGhaferi, A.A., et al., \u003cem\u003eHospital characteristics associated with failure to rescue from complications after pancreatectomy.\u003c/em\u003e J Am Coll Surg, 2010. \u003cstrong\u003e211\u003c/strong\u003e(3): p. 325-30.\u003c/li\u003e\n\u003cli\u003eYamada, S., et al., \u003cem\u003eThe survival in octogenarians undergoing surgery for pancreatic cancer and its association with the nutritional status.\u003c/em\u003e Surg Today, 2023.\u003c/li\u003e\n\u003cli\u003eMackay, T.M., et al., \u003cem\u003eThe risk of not receiving adjuvant chemotherapy after resection of pancreatic ductal adenocarcinoma: a nationwide analysis.\u003c/em\u003e HPB (Oxford), 2020. \u003cstrong\u003e22\u003c/strong\u003e(2): p. 233-240.\u003c/li\u003e\n\u003cli\u003eBakens, M.J., et al., \u003cem\u003eThe use of adjuvant chemotherapy for pancreatic cancer varies widely between hospitals: a nationwide population-based analysis.\u003c/em\u003e Cancer Med, 2016. \u003cstrong\u003e5\u003c/strong\u003e(10): p. 2825-2831.\u003c/li\u003e\n\u003cli\u003eConroy, T., et al., \u003cem\u003eFOLFIRINOX or Gemcitabine as Adjuvant Therapy for Pancreatic Cancer.\u003c/em\u003e N Engl J Med, 2018. \u003cstrong\u003e379\u003c/strong\u003e(25): p. 2395-2406.\u003c/li\u003e\n\u003cli\u003eBrunner, M., et al., \u003cem\u003e[Robot-assisted visceral surgery in Germany : Analysis of the current status and trends of the last 5 years using data from the StuDoQ|Robotics registry].\u003c/em\u003e Chirurgie (Heidelb), 2023.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1:\u0026nbsp;\u003c/strong\u003eClinicopathologic variables of patients with early-, middle- or late-onset pancreatic adenocarcinomas reported by the StuDoQ database (2014\u0026ndash;2019)\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"614\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.234910277324634%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eStudy cohort\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.43393148450245%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eTotal\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(n = 3011)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.43393148450245%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eEOPC\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(n = 110)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.43393148450245%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eMOPC\u003c/p\u003e\n \u003cp\u003e(n = 1399)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.597063621533444%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eLOPC\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(n = 1502)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.866231647634583%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.234910277324634%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.43393148450245%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.43393148450245%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.43393148450245%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.597063621533444%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.866231647634583%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.195121951219512%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of surgery\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\" valign=\"top\"\u003e\n \u003cp\u003ePD\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e2412\u003c/p\u003e\n \u003cp\u003e(80.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\" valign=\"top\"\u003e\n \u003cp\u003eDP\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e599\u003c/p\u003e\n \u003cp\u003e(19.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.642276422764226%\" colspan=\"3\"\u003e\n \u003cp\u003ePancreaticoduodenectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.804878048780488%\" colspan=\"3\"\u003e\n \u003cp\u003eDistal Pancreatectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.821138211382113%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u0026nbsp;\u003c/em\u003evalue\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eOnset\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eEOPC\u003c/p\u003e\n \u003cp\u003e83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eMOPC\u003c/p\u003e\n \u003cp\u003e1123\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eLOPC\u003c/p\u003e\n \u003cp\u003e1206\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eEOPC\u003c/p\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eMOPC\u003c/p\u003e\n \u003cp\u003e276\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eLOPC\u003c/p\u003e\n \u003cp\u003e296\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge, median\u0026nbsp;\u003c/strong\u003e(years)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\"\u003e\n \u003cp\u003e70.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\"\u003e\n \u003cp\u003e70.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\"\u003e\n \u003cp\u003e46.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\"\u003e\n \u003cp\u003e62.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\"\u003e\n \u003cp\u003e77.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\"\u003e\n \u003cp\u003e46.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\"\u003e\n \u003cp\u003e62.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\"\u003e\n \u003cp\u003e77.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eASA\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.05\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003eDP\u003c/sub\u003e \u0026lt; 0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e92\u003c/p\u003e\n \u003cp\u003e(3.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e29 (4.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e8 (9.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e58\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(5.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e26 (2.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3 (11.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e23 (8.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(1.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1018\u003c/p\u003e\n \u003cp\u003e(42.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e272 (45.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e44 (53.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e532 (47.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e442 (36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e15 (55.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e135 (48.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e122 (41.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1253\u003c/p\u003e\n \u003cp\u003e(51.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e287 (47.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e31 (37.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e522 (46.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e700 (58.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e9 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e115 (41.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e163 (55.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003cp\u003e(2.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11 (1.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(1.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e37 (3.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(1.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e8\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(2.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(0.01%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1 (0.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eunknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eBMI. median\u0026nbsp;\u003c/strong\u003e(kg/m\u003csup\u003e2\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e24.8\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e25.1\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e24.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e25.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e24.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e25.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e25.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e24.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.05\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTumor\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eSize\u0026nbsp;\u003c/strong\u003e(cm)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.84\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026lt; 2.0\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e190\u003c/p\u003e\n \u003cp\u003e(7.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003cp\u003e(10.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e8\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(9.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e91\u003c/p\u003e\n \u003cp\u003e(8.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e91\u003c/p\u003e\n \u003cp\u003e(7.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e4 (14.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003cp\u003e(12.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003cp\u003e(9.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e2.0 \u0026ndash; 4.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e884\u003c/p\u003e\n \u003cp\u003e(36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e185\u003c/p\u003e\n \u003cp\u003e(30.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e26 (31.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e413\u003c/p\u003e\n \u003cp\u003e(36.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e445\u003c/p\u003e\n \u003cp\u003e(36.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(25.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e84\u003c/p\u003e\n \u003cp\u003e(30.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e94\u003c/p\u003e\n \u003cp\u003e(31.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt; 4.0 \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1337\u003c/p\u003e\n \u003cp\u003e(55.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e347\u003c/p\u003e\n \u003cp\u003e(57.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e49 (59.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e619\u003c/p\u003e\n \u003cp\u003e(55.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e669\u003c/p\u003e\n \u003cp\u003e(55.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(59.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e159\u003c/p\u003e\n \u003cp\u003e(57.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e172\u003c/p\u003e\n \u003cp\u003e(58.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eUnknown\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(0.01%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(0.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(0.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(1.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eGrading\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.18\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003eDP\u003c/sub\u003e \u0026lt; 0.05\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eG1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e87\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e27 (4.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e5\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(6.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e41\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(3.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e41 (3.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e4 (14.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e16 (5.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e7\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(2.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eG2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1307\u003c/p\u003e\n \u003cp\u003e(54.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e324 (54.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e38 (45.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e627 (55.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e642 (53.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e9 (33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e142 (51.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e173 (58.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eG3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e935\u003c/p\u003e\n \u003cp\u003e(38.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e208 (34.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e34 (41.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e411 (36.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e490 (40.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11 (40.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e95 (34.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e102 (34.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eG4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(0.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(0.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e10\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(0.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(0.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(3.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(0.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(0.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eUnknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003cp\u003e(2.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003cp\u003e(6.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e6\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(7.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e34\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(3.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e27 (2.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(7.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e22 (8.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e13 (4.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLymph\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003enode\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003estatus\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.10\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eNegative\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e726\u003c/p\u003e\n \u003cp\u003e(30.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e240\u003c/p\u003e\n \u003cp\u003e(40.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003cp\u003e(33.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e314\u003c/p\u003e\n \u003cp\u003e(28.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e384\u003c/p\u003e\n \u003cp\u003e(31.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(59.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e106\u003c/p\u003e\n \u003cp\u003e(38.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e118\u003c/p\u003e\n \u003cp\u003e(39.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003ePositive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1685\u003c/p\u003e\n \u003cp\u003e(69.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e358\u003c/p\u003e\n \u003cp\u003e(59.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e55\u003c/p\u003e\n \u003cp\u003e(66.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e809\u003c/p\u003e\n \u003cp\u003e(72.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e821\u003c/p\u003e\n \u003cp\u003e(68.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(40.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e170\u003c/p\u003e\n \u003cp\u003e(61.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e177\u003c/p\u003e\n \u003cp\u003e(59.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eUnknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(0.01%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(0.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(0.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(0.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"614\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDiabetes mellitus\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1123\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1206\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e276\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e296\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.001\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1710\u003c/p\u003e\n \u003cp\u003e(70.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e444 (74.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e37 (88.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e818 (72.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e819 (67.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e22 (81.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e294 (73.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e218\u003c/p\u003e\n \u003cp\u003e(73.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eYes, NIDDM2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e327\u003c/p\u003e\n \u003cp\u003e(13.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e84 (14.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(2.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e127 (11.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e198\u003c/p\u003e\n \u003cp\u003e(16.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3 (11.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e32 (11.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e49 (16.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eYes, IDDM2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e375\u003c/p\u003e\n \u003cp\u003e(15.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e71 (11.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e8\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(9.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e178 (15.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e189\u003c/p\u003e\n \u003cp\u003e(15.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(7.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e40 (14.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003cp\u003e(9.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eUnknown\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePreop Bilirubin, median\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(mg/dl)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1.9\u003c/p\u003e\n \u003cp\u003e(n = 2236)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003cp\u003e(n = 552)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1.6\u003c/p\u003e\n \u003cp\u003e(n = 78)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1.6\u003c/p\u003e\n \u003cp\u003e(n = 1038)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2.2\u003c/p\u003e\n \u003cp\u003e(n = 1120)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003cp\u003e(n = 26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003cp\u003e(n = 250)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003cp\u003e(n = 276)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.05\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003eDP\u0026nbsp;\u003c/sub\u003e\u0026lt; 0.05\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTumor marker\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eCEA,\u003c/p\u003e\n \u003cp\u003eMedian\u003c/p\u003e\n \u003cp\u003e(ng/ml)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3.1\u003c/p\u003e\n \u003cp\u003e(n = 1774)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3.0\u003c/p\u003e\n \u003cp\u003e(n = 435)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2.8\u003c/p\u003e\n \u003cp\u003e(n = 64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3.1\u003c/p\u003e\n \u003cp\u003e(n = 831)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3.1\u003c/p\u003e\n \u003cp\u003e(n = 879)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2.0\u003c/p\u003e\n \u003cp\u003e(n = 20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2.9\u003c/p\u003e\n \u003cp\u003e(n = 202)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3.1\u003c/p\u003e\n \u003cp\u003e(n = 213)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.14\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eCA19-9,\u003c/p\u003e\n \u003cp\u003emedian\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(U/ml)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e133.0\u003c/p\u003e\n \u003cp\u003e(n = 2002)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e76.0\u003c/p\u003e\n \u003cp\u003e(n = 479)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e86.0\u003c/p\u003e\n \u003cp\u003e(n = 70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e115.1\u003c/p\u003e\n \u003cp\u003e(n = 950)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e158.5\u003c/p\u003e\n \u003cp\u003e(n = 982)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e48.1\u003c/p\u003e\n \u003cp\u003e(n = 23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e67.1\u003c/p\u003e\n \u003cp\u003e(n = 216)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e92.5\u003c/p\u003e\n \u003cp\u003e(n = 240)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.001\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePancreatic duct width\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.001\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003eDP\u0026nbsp;\u003c/sub\u003e\u0026lt; 0.05\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eNormal\u003c/p\u003e\n \u003cp\u003e(\u0026lt; 3mm)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e882\u003c/p\u003e\n \u003cp\u003e(26.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e251\u003c/p\u003e\n \u003cp\u003e(41.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003cp\u003e(38.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e442\u003c/p\u003e\n \u003cp\u003e(39.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e408\u003c/p\u003e\n \u003cp\u003e(33.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(29.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e111\u003c/p\u003e\n \u003cp\u003e(40.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e132\u003c/p\u003e\n \u003cp\u003e(44.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eEnlarged\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(\u0026gt; 3mm)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e862\u003c/p\u003e\n \u003cp\u003e(35.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003cp\u003e(6.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003cp\u003e(25.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e362\u003c/p\u003e\n \u003cp\u003e(32.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e479\u003c/p\u003e\n \u003cp\u003e(39.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003cp\u003e(70.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003cp\u003e(9.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eUnknown\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e668\u003c/p\u003e\n \u003cp\u003e(27.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e310\u003c/p\u003e\n \u003cp\u003e(51.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e(36.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e319\u003c/p\u003e\n \u003cp\u003e(28.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e319\u003c/p\u003e\n \u003cp\u003e(26.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e155\u003c/p\u003e\n \u003cp\u003e(56.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e136\u003c/p\u003e\n \u003cp\u003e(45.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePancreatic texture\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.50\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003esoft\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e885\u003c/p\u003e\n \u003cp\u003e(36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e276\u003c/p\u003e\n \u003cp\u003e(46.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003cp\u003e(27.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e411\u003c/p\u003e\n \u003cp\u003e(36.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e451\u003c/p\u003e\n \u003cp\u003e(37.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(40.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e127\u003c/p\u003e\n \u003cp\u003e(46.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e138\u003c/p\u003e\n \u003cp\u003e(46.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003ehard\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e985\u003c/p\u003e\n \u003cp\u003e(40.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e113\u003c/p\u003e\n \u003cp\u003e(18.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003cp\u003e(38.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e473\u003c/p\u003e\n \u003cp\u003e(42.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e480\u003c/p\u003e\n \u003cp\u003e(39.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(11.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003cp\u003e(19.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003cp\u003e(18.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.175324675324676%\" valign=\"top\"\u003e\n \u003cp\u003eUnknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e542\u003c/p\u003e\n \u003cp\u003e(22.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e210\u003c/p\u003e\n \u003cp\u003e(35.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003cp\u003e(33.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e239\u003c/p\u003e\n \u003cp\u003e(21.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e275\u003c/p\u003e\n \u003cp\u003e(22.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e(48.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e95\u003c/p\u003e\n \u003cp\u003e(34.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e102\u003c/p\u003e\n \u003cp\u003e(34.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eBaseline characteristics according to PD and DP and according to age group, stratified regarding type of resection (PD vs. DP). Continuous data are shown as median, categorial data are shown as absolute (relative). Kruskal - Wallis test, Pearson\u0026rsquo;s chi square test and Fisher\u0026rsquo;s exact test used, comparing PD and DP resection within Early-, Middle- and Late-Onset group. \u003cem\u003ePD\u003c/em\u003e = Pancreaticoduodenectomy, \u003cem\u003eDP\u003c/em\u003e = Distal pancreatectomy, \u003cem\u003eBMI\u003c/em\u003e = Body mass index, \u003cem\u003eEOPC\u003c/em\u003e = early-onset pancreatic cancer, \u003cem\u003eMOPC\u003c/em\u003e = middle-onset pancreatic cancer, \u003cem\u003eLOPC\u003c/em\u003e = late-onset pancreatic cancer, \u003cem\u003eCEA\u003c/em\u003e = Tumor marker carcinoembryonic antigen, \u003cem\u003eCA19-9\u003c/em\u003e =Tumor marker carbohydrate antigen 19-9.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2:\u0026nbsp;\u003c/strong\u003ePerioperative variables and outcomes of patients with early-, middle- or late-onset pancreatic adenocarcinoma stratified regarding type of resection (PD vs. DP).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"614\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.843648208469055%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of surgery\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\" valign=\"top\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003cp\u003e(n = 2.412)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eDP\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(n = 599)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.68729641693811%\" colspan=\"3\" style=\"width: 28.2293%;\"\u003e\n \u003cp\u003ePancreaticoduodenectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.52442996742671%\" colspan=\"3\" style=\"width: 26.1681%;\"\u003e\n \u003cp\u003eDistal Pancreatectomy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.37785016286645%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u0026nbsp;\u003c/em\u003evalue\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eOnset\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eEOPC\u003c/p\u003e\n \u003cp\u003e(n = 83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eMOPC\u003c/p\u003e\n \u003cp\u003e(n = 1123)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003eLOPC\u003c/p\u003e\n \u003cp\u003e(n = 1.206)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003eEOPC\u003c/p\u003e\n \u003cp\u003e(n = 27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003eMOPC\u003c/p\u003e\n \u003cp\u003e(n = 276)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003eLOPC\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(n = 296)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedian duration\u0026nbsp;\u003c/strong\u003e(min)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e330\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e212\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e352\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e342\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e320\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e240\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e218.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e203\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.01\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003eDP\u003c/sub\u003e \u0026lt; 0.01\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedian stay\u0026nbsp;\u003c/strong\u003e(days)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e14.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.01\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003eDP\u003c/sub\u003e \u0026lt; 0.05\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedian stay ICU\u0026nbsp;\u003c/strong\u003e(day)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.01\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eResection status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.87\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eR0*\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e918\u003c/p\u003e\n \u003cp\u003e(38.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e235\u003c/p\u003e\n \u003cp\u003e(39.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e28 (33.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e414\u003c/p\u003e\n \u003cp\u003e(36.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e476\u003c/p\u003e\n \u003cp\u003e(39.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(37.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e101\u003c/p\u003e\n \u003cp\u003e(36.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e124\u003c/p\u003e\n \u003cp\u003e(41.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eR0 narrow\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e335\u003c/p\u003e\n \u003cp\u003e(13.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003cp\u003e(12.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11 (13.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e166\u003c/p\u003e\n \u003cp\u003e(14.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e158\u003c/p\u003e\n \u003cp\u003e(13.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(11.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003cp\u003e(12.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003cp\u003e(13.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eR0 wide\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e579\u003c/p\u003e\n \u003cp\u003e(24.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e137\u003c/p\u003e\n \u003cp\u003e(22.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e23 (27.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e275\u003c/p\u003e\n \u003cp\u003e(24.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e281\u003c/p\u003e\n \u003cp\u003e(23.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(33.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e71\u003c/p\u003e\n \u003cp\u003e(25.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e57\u003c/p\u003e\n \u003cp\u003e(19.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eR1\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e526\u003c/p\u003e\n \u003cp\u003e(21.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e132\u003c/p\u003e\n \u003cp\u003e(22.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e20 (24.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e246\u003c/p\u003e\n \u003cp\u003e(21.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e260\u003c/p\u003e\n \u003cp\u003e(21.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(18.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003cp\u003e(21.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003cp\u003e(22.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eR2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e(1.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(0.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(1.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(1.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(1.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(0.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(1.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eUnknown\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003cp\u003e(1.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(2.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(1.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(1.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(2.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(2.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePOPF\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.48\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e2075\u003c/p\u003e\n \u003cp\u003e(86.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e380\u003c/p\u003e\n \u003cp\u003e(63.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e71\u003c/p\u003e\n \u003cp\u003e(85.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e958\u003c/p\u003e\n \u003cp\u003e(85.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e1046\u003c/p\u003e\n \u003cp\u003e(86.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003cp\u003e(66.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e174\u003c/p\u003e\n \u003cp\u003e(63.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e188\u003c/p\u003e\n \u003cp\u003e(63.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eBL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e146\u003c/p\u003e\n \u003cp\u003e(6.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e78\u003c/p\u003e\n \u003cp\u003e(13.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(8.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e75\u003c/p\u003e\n \u003cp\u003e(6.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003cp\u003e(5.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(22.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003cp\u003e(11.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003cp\u003e(13.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e106\u003c/p\u003e\n \u003cp\u003e(4.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003cp\u003e(16.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e55\u003c/p\u003e\n \u003cp\u003e(4.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003cp\u003e(4.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(7.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003cp\u003e(19.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003cp\u003e(14.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e85\u003c/p\u003e\n \u003cp\u003e(3.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003cp\u003e(6.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(2.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003cp\u003e(3.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003cp\u003e(4.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(3.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(6.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003cp\u003e(7.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCR-POPF\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.82\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e2221\u003c/p\u003e\n \u003cp\u003e(92.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e458\u003c/p\u003e\n \u003cp\u003e(76.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e78\u003c/p\u003e\n \u003cp\u003e(94.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1033\u003c/p\u003e\n \u003cp\u003e(92.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e1110\u003c/p\u003e\n \u003cp\u003e(92.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003cp\u003e(88.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e205\u003c/p\u003e\n \u003cp\u003e(74.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e229\u003c/p\u003e\n \u003cp\u003e(77.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e191\u003c/p\u003e\n \u003cp\u003e(7.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e141\u003c/p\u003e\n \u003cp\u003e(23.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(6.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003cp\u003e(8.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e96\u003c/p\u003e\n \u003cp\u003e(8.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(11.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e71\u003c/p\u003e\n \u003cp\u003e(25.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003cp\u003e(22.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePPH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.57\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e2154\u003c/p\u003e\n \u003cp\u003e(89.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e570\u003c/p\u003e\n \u003cp\u003e(95.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003cp\u003e(91.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1004\u003c/p\u003e\n \u003cp\u003e(89.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e1074\u003c/p\u003e\n \u003cp\u003e(89.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e(96.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e261\u003c/p\u003e\n \u003cp\u003e(94.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e283\u003c/p\u003e\n \u003cp\u003e(95.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003cp\u003e(2.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(1.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(1.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003cp\u003e(1.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e(2.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(1.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(1.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003cp\u003e(4.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(1.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003cp\u003e(3.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003cp\u003e(4.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(2.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(1.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e109\u003c/p\u003e\n \u003cp\u003e(4.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(1.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e58\u003c/p\u003e\n \u003cp\u003e(5.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003cp\u003e(4.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(3.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(1.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(2.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDGE\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003eP\u003csub\u003ePD\u003c/sub\u003e = 0.35\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1929\u003c/p\u003e\n \u003cp\u003e(80.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e529\u003c/p\u003e\n \u003cp\u003e(88.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e73\u003c/p\u003e\n \u003cp\u003e(88.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e902\u003c/p\u003e\n \u003cp\u003e(80.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e954\u003c/p\u003e\n \u003cp\u003e(79.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003cp\u003e(88.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e247\u003c/p\u003e\n \u003cp\u003e(89.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e258\u003c/p\u003e\n \u003cp\u003e(87.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e243\u003c/p\u003e\n \u003cp\u003e(10.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003cp\u003e(7.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(8.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e109\u003c/p\u003e\n \u003cp\u003e(9.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e127\u003c/p\u003e\n \u003cp\u003e(10.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(11.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003cp\u003e(7.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003cp\u003e(6.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e160\u003c/p\u003e\n \u003cp\u003e(6.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(2.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e78\u003c/p\u003e\n \u003cp\u003e(6.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e79\u003c/p\u003e\n \u003cp\u003e(6.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(1.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(3.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003cp\u003e(3.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(1.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003cp\u003e(3.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003cp\u003e(3.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(1.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(2.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eClavien-Dindo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.01\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1065\u003c/p\u003e\n \u003cp\u003e(44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e278\u003c/p\u003e\n \u003cp\u003e(46.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003cp\u003e(53.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e524\u003c/p\u003e\n \u003cp\u003e(46.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e497\u003c/p\u003e\n \u003cp\u003e(41.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e(44.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e138\u003c/p\u003e\n \u003cp\u003e(50.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e128\u003c/p\u003e\n \u003cp\u003e(43.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eGrade 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e227\u003c/p\u003e\n \u003cp\u003e(9.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e61\u003c/p\u003e\n \u003cp\u003e(10.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(9.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e117\u003c/p\u003e\n \u003cp\u003e(10.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e102\u003c/p\u003e\n \u003cp\u003e(8.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(22.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003cp\u003e(9.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e(10.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eGrade 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e442\u003c/p\u003e\n \u003cp\u003e18.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003cp\u003e(20.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(20.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e188\u003c/p\u003e\n \u003cp\u003e(16.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e237\u003c/p\u003e\n \u003cp\u003e(19.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(22.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003cp\u003e(18.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e62\u003c/p\u003e\n \u003cp\u003e(20.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eGrade 3a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e218\u003c/p\u003e\n \u003cp\u003e(9.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e72\u003c/p\u003e\n \u003cp\u003e(12.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e99\u003c/p\u003e\n \u003cp\u003e(8.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e116\u003c/p\u003e\n \u003cp\u003e(9.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003cp\u003e(12.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003cp\u003e(12.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eGrade 3b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e231\u003c/p\u003e\n \u003cp\u003e(9.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003cp\u003e(5.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(6.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e112\u003c/p\u003e\n \u003cp\u003e(10.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e114\u003c/p\u003e\n \u003cp\u003e(9.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(7.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(5.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e(5.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eGrade 4a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003cp\u003e(3.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003cp\u003e(3.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003cp\u003e(2.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003cp\u003e(4.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(3.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(3.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(3.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eGrade 4b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e(1.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(0.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(1.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(1.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(0.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(1.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eGrade 5 (death)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e122\u003c/p\u003e\n \u003cp\u003e(5.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(1.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(2.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003cp\u003e(6.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(0.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(3.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCom-\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eplication\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.01\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eNone/Minor\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(Clavien-Dindo \u0026lt; 3a)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1734\u003c/p\u003e\n \u003cp\u003e(71.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e459\u003c/p\u003e\n \u003cp\u003e(76.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e69\u003c/p\u003e\n \u003cp\u003e(83.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e829\u003c/p\u003e\n \u003cp\u003e(73.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e836\u003c/p\u003e\n \u003cp\u003e(69.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003cp\u003e(88.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e215\u003c/p\u003e\n \u003cp\u003e(77.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e220\u003c/p\u003e\n \u003cp\u003e(74.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eMajor (Clavien-Dindo\u0026nbsp;\u0026sup3;\u0026nbsp;3a)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e678\u003c/p\u003e\n \u003cp\u003e(28.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e140\u003c/p\u003e\n \u003cp\u003e(23.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003cp\u003e(16.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e294\u003c/p\u003e\n \u003cp\u003e(26.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e370\u003c/p\u003e\n \u003cp\u003e(30.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(6.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e61\u003c/p\u003e\n \u003cp\u003e(22.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003cp\u003e(25.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMortality\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u003c/sub\u003e \u0026lt; 0.01\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e2290\u003c/p\u003e\n \u003cp\u003e(94.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e588\u003c/p\u003e\n \u003cp\u003e(98.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003cp\u003e(97.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e1083\u003c/p\u003e\n \u003cp\u003e(96.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e1126\u003c/p\u003e\n \u003cp\u003e(93.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e274\u003c/p\u003e\n \u003cp\u003e(99.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e287\u003c/p\u003e\n \u003cp\u003e(97.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e122\u003c/p\u003e\n \u003cp\u003e(5.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(1.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(2.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003cp\u003e(3.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003cp\u003e(6.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(0.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(3.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFailure to resuce\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003csub\u003ePD\u0026nbsp;\u003c/sub\u003e\u0026lt; 0.05\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eP\u003csub\u003eDP\u003c/sub\u003e = 0.21\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.7987012987013%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.415584415584416%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e122\u003c/p\u003e\n \u003cp\u003e(18.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(7.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(14.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003cp\u003e(13.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 9.8254%;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003cp\u003e(21.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\" style=\"width: 8.4156%;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.253246753246753%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(3.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.928571428571429%\" valign=\"top\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(11.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.337662337662337%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eOverall outcomes according to PD and DP and according to age group. Continuous data are shown as median, categorial data are shown as absolute (relative). Kruskal- Wallis test, Pearson\u0026rsquo;s chi square test and Fisher\u0026rsquo;s exact test used, comparing PD and DP resection within Early-, Middle- and Late-Onset group. Post hoc testing was calculated with Jonckheere-Terpstra test. \u003cem\u003eICU\u003c/em\u003e = intensive care unit, \u003cem\u003ePOPF\u003c/em\u003e = postoperative pancreatic fistula, \u003cem\u003ePPH\u003c/em\u003e = postpancreatectomy hemorrhage, \u003cem\u003eDGE\u0026nbsp;\u003c/em\u003e= delayed gastric emptying; * = narrow or wide not indicated.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"751\" height=\"847\"\u003e\u003cbr\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-surgery","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bsur","sideBox":"Learn more about [BMC Surgery](http://bmcsurg.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bsur/default.aspx","title":"BMC Surgery","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Age, early-onset, PDAC, StuDoQ, early-onset cancer, pancreatic cancer","lastPublishedDoi":"10.21203/rs.3.rs-4307531/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4307531/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003ePancreatic ductal adenocarcinoma (PDAC) typically occurs in an older patient population. Yet, early-onset pancreatic cancer (EOPC) has one of the fastest growing incidence rates. This study investigated the influence of age and tumor location on postoperative morbidity and mortality in a large, real-world dataset.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003ePatients with confirmed PDAC undergoing pancreatic surgery between 01/01/2014 and 31/12/2019 were identified from the German StuDoQ|Pancreas registry. After categorization into early- (EOPC), middle- (MOPC), and late-onset (LOPC), and stratification into pancreaticoduodenectomy (PD) or distal pancreatectomy (DP), differences in morbidity and mortality as well as clinicopathologic parameters were analyzed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003eIn total, 3011 identified patients were identified. No difference in the occurrence of POPF, PPH or DGE between different age groups and resection techniques was detected. However, in patients undergoing PD, major complications (Clavien-Dindo ³ 3a) were observed more frequently in LOPC (30,7%) than in MOPC (26,2%) and EOPC (16,9%; p \u0026lt; 0,01). Mortality almost tripled from EOPC (2,4%) to MOPC (3,6%) to LOPC (6,6%, p \u0026lt; 0,01) and significantly higher FTR rates could be observed (EOPC 14,3%, MOPC 13,6%; LOPC 21,6%; p \u0026lt; 0,05). In centers with DGAV certification for pancreatic surgery, the risk of complications was significantly decreased in PD (OR 0,79; 95% CI 0,65-0,94; p = 0,010).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003eAge has a pronounced impact on the perioperative outcomes after pancreatic resections of PDAC. This effect is more prevalent in PD compared to DP. Pancreatic surgery-specific complications, such as POPF, DGE or PPH do not occur more frequently in the elderly. Overall, the risk of major complications and mortality increases in elderly patients mainly secondary to higher FTR rates. In contrast, certified centers (DGAV) reduced the rate of major complications in PD.\u003c/p\u003e\n\u003cp\u003eCentralization of pancreatic surgery in high-volume centers with certified quality management is key to improve the outcomes of pancreatic surgery.\u003c/p\u003e","manuscriptTitle":"Perioperative outcomes in an age-adapted analysis of the German StuDoQ|Pancreas registry for PDAC","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-09 18:26:48","doi":"10.21203/rs.3.rs-4307531/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-05-07T07:51:51+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-05-02T15:23:20+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-05-02T15:23:20+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Surgery","date":"2024-04-22T17:24:54+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-surgery","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bsur","sideBox":"Learn more about [BMC Surgery](http://bmcsurg.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bsur/default.aspx","title":"BMC Surgery","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"6466315e-b8c7-4209-b0ca-9bf5f4f6319f","owner":[],"postedDate":"May 9th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-01-06T16:21:22+00:00","versionOfRecord":{"articleIdentity":"rs-4307531","link":"https://doi.org/10.1186/s12893-024-02647-1","journal":{"identity":"bmc-surgery","isVorOnly":false,"title":"BMC Surgery"},"publishedOn":"2025-01-04 15:57:38","publishedOnDateReadable":"January 4th, 2025"},"versionCreatedAt":"2024-05-09 18:26:48","video":"","vorDoi":"10.1186/s12893-024-02647-1","vorDoiUrl":"https://doi.org/10.1186/s12893-024-02647-1","workflowStages":[]},"version":"v1","identity":"rs-4307531","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4307531","identity":"rs-4307531","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}