Comparing the Efficacy of Surgery and Medical Therapy for Pain Management in Endometriosis: A Systematic Review and Meta-analysis.

BACKGROUND

Pain is considered as one of the main symptoms of endometriosis. The treatment for endometriosis remains controversial.

OBJECTIVES

The aim of this study is to compare the effect of medical or surgical treatments for pain-relief in patients with endometriosis.

STUDY DESIGN

Systematic review and meta-analysis.

SETTING

Published papers about evaluating pain treatment in endometriosis in PubMed, Scopus, and Google Scholar.

METHODS

After searching all studies evaluating pain treatment in endometriosis in PubMed, Scopus, and Google Scholar, there were 23 related studies, containing 1,847 patients enrolled in our study. We used a variety of tests: fixed and random effects models, Q Cochrane test and I2 index, Egger and Begg tests, forest and funnel plots, Trim and fill method, and meta-regression in our analysis.

RESULTS

There was no statistically significant difference in pain improvement between surgical and medical treatment. Interestingly, pain relief was more prominent longer after treatment. Both clinical trials and cross sectional studies showed higher improvement in pain than cohort studies. High quality studies and lower body mass index (BMI) had a greater effect on pain relief. All studies were heterogeneous, but there was no publication bias.

LIMITATIONS

There was a higher probability of risk of bias in blinding, random sequence generation, and selective outcome reporting in clinical trial studies entered in our meta-analysis.

CONCLUSIONS

Our results could not demonstrate the preference of each medical or surgical treatment effect for dysmenorrhea in endometriosis. Additional data is required before a standardized medical protocol can be offered, but we believe this study may encourage clinicians to consider a less invasive alternative for treating their patients' chronic pelvic pain in the near future.Key words: Endometriosis, pain, meta-analysis, therapy, disease management.