Literature DB >> 11549395

Role of a symptom-based algorithmic approach to chronic pelvic pain.

C A Winkel1.   

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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Year:  2001        PMID: 11549395

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  2 in total

Review 1.  Factors predisposing women to chronic pelvic pain: systematic review.

Authors:  Pallavi Latthe; Luciano Mignini; Richard Gray; Robert Hills; Khalid Khan
Journal:  BMJ       Date:  2006-02-16

2.  Below the belt: approach to chronic pelvic pain.

Authors:  Risa Bordman; Bethany Jackson
Journal:  Can Fam Physician       Date:  2006-12       Impact factor: 3.275

  2 in total

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