Long-term effects of bipolar electrocoagulation and suture hemostasis on the ovarian reserve following endometriotic cystectomy: a meta-analysis
Bibliographic record
Abstract
OBJECTIVE: The long-term impact of electrocoagulation and suture hemostasis on ovarian reserve (OR) after endometriotic cystectomy remains uncertain. This meta-analysis aimed to compare the short-term and long-term effects of coagulation and suture hemostasis on ovarian reserve based on the postoperative levels of the anti-Müllerian hormone (AMH). METHODS: PubMed, MEDLINE, EMBASE, Cochrane, and other databases were searched for eligible studies published up to May 2023.The quality assessment of the RCTs was performed as indicated by the Cochrane Collaboration tool in the Cochrane Handbook. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the non-RCTs. The random-effects or fixed-effects model was used to quantify the weighted mean difference (WMD) at the 95% confidence interval (CI) in the treatment effect across the different studies. RESULTS: Six randomized controlled trials and two prospective studies were included in this meta-analysis. The meta-analysis showed that there was a statistically significant difference in the AMH levels between the electrocoagulation and the suture group at 1 month (WMD: -0.52, 95%CI (-1.02, -0.01), P = 0.04), 3 months (WMD: -0.72, 95%CI (-1.13, -0.31), P = 0.0005), 6 months (WMD: -0.80, 95%CI (-1.22, -0.38), P = 0.0002) and 12 months (WMD: -0.81, 95%CI (-1.24, -0.37), P = 0.0003), postoperatively. The mean difference of AMH in electrocoagulation group at 1, 3, 6 and 12 months after surgery was -1.75; -1.37; -1.10; -0.92 respectively; meanwhile, in the suture group were -2.50; -2.46; -2.33; -2.24, respectively. CONCLUSION: Compared with electrocoagulation, suture hemostasis has less impact on OR. Although the OR of two groups gradually recovered, electrocoagulation still caused more damage to AMH than suture at 12 months after surgery. Suturing could be a better choice after stripping ovarian endometriomas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.062 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".