Role of a symptom-based algorithmic approach to chronic pelvic pain
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⤵ 11 in-corpus citations
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This study presented a symptom-based algorithmic approach to chronic pelvic pain that accurately diagnosed endometriosis in 85-90% of cases, minimizing the need for surgery.
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Abstract
OBJECTIVE: Chronic pelvic pain (CPP) is a disorder that has a significant impact on the patient's quality of life. Laparoscopic diagnosis can be disappointing, and recurrence is common after surgical treatment. A symptom-based algorithmic approach to treatment of CPP is presented that is safe and cost-effective.
METHODS: This approach is oriented towards making a potential clinical diagnosis of endometriosis. It relies on a structured evaluation of the patient and administration of medical therapy including GnRH agonists to selected patients. Evaluation begins with a history and physical examination; selected cases receive specific therapy. Non-responders undergo appropriate laboratory and imaging studies. If results remain negative, it is possible to make a clinical diagnosis of endometriosis and begin empiric treatment.
RESULTS: Early results strongly indicate that using this approach allowed clinicians to make highly accurate diagnoses (correct in 85-90% of cases).
CONCLUSION: Use of this approach will minimize the need for surgery.
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Cited by (11)
- Minimally Invasive Surgical Treatment of Pelvic Pain in Teenagers and Young Women 2021
- Dyspareunia in gynaecological practice 2012
- Systematic review of therapies for noncyclic chronic pelvic pain in women 2012
- Dyspareunia in gynaecological practice 2009
- Dyspareunia in gynaecological practise 2006
- Below the belt: approach to chronic pelvic pain 2006
- Factors predisposing women to chronic pelvic pain: systematic review 2006
- Factors Predisposing Women to Chronic Pelvic Pain: Systematic Review 2006
- Chronic pelvic pain : prevalence, risk factors and laparoscopic uterosacral nerve ablation. 2006
- Chronic pelvic pain: a practical approach 2005
- Dyspareunia in gynaecological practice 2003
Source provenance
- europepmc
- last seen: 2026-10-10T06:11:15.153948+00:00
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- pubmed
- last seen: 2026-10-08T21:00:08.490831+00:00
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