Sexual Function of Patients with Deep Endometriosis after Surgical Treatment: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: To review the current state of knowledge on the impact of the surgical treatment on the sexual function and dyspareunia of deep endometriosis patients. DATA SOURCE: A systematic review was conducted in accordance with the Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We conducted systematic searches in the PubMed, EMBASE, LILACS, and Web of Science databases from inception until December 2022. The eligibility criteria were studies including: preoperative and postoperative comparative analyses; patients with a diagnosis of deep endometriosis; and questionnaires to measure sexual quality of life. STUDY SELECTION: Two reviewers screened and reviewed 1,100 full-text articles to analyze sexual function after the surgical treatment for deep endometriosis. The risk of bias was assessed using the Newcastle-Ottawa scale for observational studies and the Cochrane Collaboration's tool for randomized controlled trials. The present study was registered at the International Prospective Register of Systematic Reviews (PROSPERO; registration CRD42021289742). DATA COLLECTION: General variables about the studies, the surgical technique, complementary treatments, and questionnaires were inserted in an Microsoft Excel 2010 (Microsoft Corp., Redmond, WA, United States) spreadsheet. SYNTHESIS OF DATA: We included 20 studies in which the videolaparoscopy technique was used for the excision of deep infiltrating endometriosis. A meta-analysis could not be performed due to the substantial heterogeneity among the studies. Classes III and IV of the revised American Fertility Society classification were predominant and multiple surgical techniques for the treatment of endometriosis were performed. Standardized and validated questionnaires were applied to evaluate sexual function. CONCLUSION: Laparoscopic surgery is a complex procedure that involves multiple organs, and it has been proved to be effective in improving sexual function and dyspareunia in women with deep infiltrating endometriosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".