{"paper_id":"b455a05c-db30-4dda-8268-3dc1fe6bc36a","body_text":"INTRODUCTION \nR e v i e w q u e s t i o n / O b j e c t i v e : I s \nneuromuscular electrical stimulation \n( N M E S ) e ff e c t i v e a n d s a f e f o r \nendometriosis-related pain (ERP)? \nCondition being studied: Neuromuscular \nelectrical stimulation, and endometriosis-\nrelated pain \nMETHODS \nParticipant or population: The patients who \ndiagnosed with ERP will be included with \nno restriction of race and age. All patients \nwho had heart disease (e.g. measured by \nelectrocardiogram test), and could not \nreceive NMES were excluded. \nIntervention: The studies in which the \nexperimental group receiving NMES will be \nINPLASY 1\nInternational Platform of Registered Systematic Review and Meta-analysis Protocols\nINPLASY\nPROTOCOL\nEffectiveness of neuromuscular \nelectrical stimulation for \nendometriosis-related pain: a \nprotocol of systematic review and \nmeta-analysis\nZhang, ZY1; Wang, J2; Fan, YL3; Wang, BY4; Zhang, WT5.\nTo cite: Zhang et al. \nEffectiveness of \nneuromuscular electrical \nstimulation for endometriosis-\nrelated pain: a protocol of \nsystematic review and meta-\nanalysis. Inplasy protocol \n202040191. doi: \n10.37766/inplasy2020.4.0191\nReceived: 27 April 2020\nPublished: 27 April 2020\nReview question / Objective: Is neuromuscular electrical \nstimulation (NMES) effective and safe for endometriosis-\nrelated pain (ERP)? \nCondition being studied:  Neuromuscular electrical \nstimulation, and endometriosis-related pain.  \nInformation sources: Electronic databases - Seven electronic \nbibliographic databases including PUBMED, Cochrane \nLibrary, EMBASE, WANGFANG, VIP , CBM, and CNKI will be \nretrieved. All databases will be searched related the RCTs on \nthe effectiveness and safety of NMES for ERP up to the \nMarch 31, 2020 without restrictions of language. The search \nstrategy sample for PUBMED is presented in table 1. Similar \nsearch strategies for other electronic databases will be \napplied. Searching other resources - We will also search \ndissertations, clinical registry, and reference lists of relevant \nstudies to avoid missing any potential studies. \nINPLASY registration number: This protocol was registered with \nthe International Platform of Registered Systematic Review and \nMeta-Analysis Protocols (INPLASY) on 27 April 2020 and was last \nu p d a t e d o n 27 Ap r i l 2 0 2 0 ( r e g i s t r a t i o n n u m b e r \nINPLASY202040191). \nCorresponding author: \nWei-ting Zhang \nzhongshi8438@163.com \nAuthor Affiliation:                  \nAffiliated Hongqi Hospital of \nMudanjiang Medical U \nSupport: MDJSTPP \n(Z2015S0026) \nReview Stage at time of this \nsubmission: The review has \nnot yet started. \nConflicts of interest:          \nNone.\nZhang et al. Inplasy protocol 202040191. doi:10.37766/inplasy2020.4.0191\nZhang et al. Inplasy protocol 202040191. doi:10.37766/inplasy2020.4.0191 Downloaded from https://inplasy.com/inplasy-2020-4-0191/\n\nincluded with no limitations of dosage, \nduration, and frequency. \nComparator: Patients in the control group \ncan be administered any therapies, except \nNMES. \nStudy designs to be included: The \nrandomized controlled trials (RCTs) of \nNMES for ERP will be included in this study. \nHowever, non-RCTs and quasi-RCTs will be \nexcluded. \nEligibility criteria: The RCTs of NMES for \nERP will be included in this study. However, \nnon-RCTs and quasi-RCTs will be excluded. \nInformation sources: Electronic databases \n- Seven electronic bibliographic databases \nincluding PUBMED, Cochrane Library, \nEMBASE, WANGFANG, VIP , CBM, and CNKI \nwill be retrieved. All databases will be \nsearched related the RCTs on the \neffectiveness and safety of NMES for ERP \nup to the March 31, 2020 without \nrestrictions of language. The search \nstrategy sample for PUBMED is presented \nin table 1. Similar search strategies for \nother electronic databases will be applied. \nSearching other resources - We will also \nsearch dissertations, clinical registry, and \nreference lists of relevant studies to avoid \nmissing any potential studies. \nMain outcome(s): The primary outcome is \npelvic pain intensity, as measured by \nNumeric Rating Scale or relevant scales. \nT h e s e c o n d a r y o u t c o m e s i n c l u d e \ndyspareunia, patient satisfaction, quality of \nlife, electrocardiogram test, and adverse \neffects. \nData management: Two reviewers will \nindependently collect data from each \nincluded trial using a pre-designed data \nextraction form. A third reviewer will help to \nsolve different opinions between two \nreviewers regarding the data collection. We \nwill extract the following related data: \ngeneral information (title, first author, \npublication time and location), patient \ninformation (race, age, inclusion and \nexclusion criteria), study methods (sample \nsize, randomization, blinding, and \nallocation), treatment details (dosage, \nf r e q u e n c y , d u r a t i o n ) , o u t c o m e \nmeasurements (all outcome measurements \nand safety), and other detailed information. \nIf there is missing information, we will \ncontact corresponding author from each \nprimary study to obtain it. \nQuality assessment / Risk of bias analysis: \nTwo reviewers will independently assess \nthe risk of bias for each included study \nusing Cochrane risk of bias. It includes \nselection bias, performance and detection \nbias, attrition bias, reporting bias, and \nother bias. Furthermore, each one is further \nclassified as low, unclear and high risk of \nbias. If there are any divergences, an \narbiter will be to solve them via discussion. \nStrategy of data synthesis: All statistical \nanalysis will be carried out using RevMan \n5.3 software. We will perform meta-analysis \nif there are sufficient studies (two or more) \nbased on the same treatments and \noutcome measurements. If there is \nreasonable heterogeneity among included \nstudies, we will use a fixed-effects model \nto pool the data. If there is significant \nheterogeneity among eligible studies, we \nwill utilize a random-effect model to \nsynthesize the data. At the same time, we \nwill employ subgroup analysis and meta-\nregression test to identify the sources of \nsubstantial heterogeneity. \nSubgroup analysis: Subgroup analysis will \nbe performed in accordance with the \nvarious interventions, comparators, and \noutcomes if these data are available. \nSensibility analysis: The sensitivity analysis \nwill be carried out to check the robustness \nand stability of pooled outcomes by \nremoving studies with low quality, \ninsufficient information, and different \nstatistical models. \nCountry(ies) involved: China. \nKeywords: Endometriosis-related pain; \nneuromuscular electrical stimulation; \neffectiveness; safety.\nINPLASY 2\nZhang et al. Inplasy protocol 202040191. doi:10.37766/inplasy2020.4.0191 Downloaded from https://inplasy.com/inplasy-2020-4-0191/\nZhang et al. Inplasy protocol 202040191. doi:10.37766/inplasy2020.4.0191","source_license":"CC0","license_restricted":false}