Inflammatory bowel disease can reduce ovarian reserve function in women: A systematic review and meta-analysis
Bibliographic record
Abstract
PURPOSE: We conducted a systematic review and meta-analysis to examine the role of inflammatory bowel disease (IBD) in ovarian reserve functions. METHODS: The PECO strategy was employed. Women of reproductive age (Population) and with IBD (Exposure) were compared with healthy women of reproductive age (Comparison) to evaluate the ovarian reserve function (Outcome). Two reviewers searched three databases as well as relevant gray literature. After following the PRISMA 2020 guidelines, RevMan 5.0 software and Newcastle-Ottawa Scale (NOS) scoring were used to analyze and summarize the data included in the studies. The protocol was registered on PROSPERO (CRD42021267804). RESULTS: The search yielded 367 studies, out of which 13 were selected for full-text evaluation, and finally, seven studies were included in our research. An analysis of ovarian reserve function in IBD women of reproductive age and healthy women revealed that the ovarian reserve function was lower in IBD women of reproductive age than in healthy women (P < .01, I2 = 81%); the ovarian reserve function was significantly lower in women with IBD in remission than in healthy women (P < .01, I2 = 0%), and ovarian reserve function was lower in IBD women of reproductive age taking thalidomide than in healthy women (P < .01, I2 = 18%). CONCLUSION: IBD could reduce ovarian reserve function in women of reproductive age, and patients should plan for conception as soon as possible under permissible conditions.
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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 | 0.014 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.028 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| 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".