Combined effects of age and endometriosis on ovarian reserve in women with infertility
Bibliographic record
Abstract
OBJECTIVE: To evaluate the combined effects of age and endometriosis on ovarian reserve in women with infertility. METHODS: We conducted a cross-sectional study using an institutional database. Women with sonographic, laparoscopic, or histologic evidence of endometriosis were defined as the study group and the remaining women served as a control group. We evaluated demographic and clinical characteristics of the groups as a whole and stratified the patients into those aged 35 years or older and those younger than 35 years at the time of ovarian reserve testing. RESULTS: Of a total of 656 women included in the final analysis, 71 women had a diagnosis of endometriosis. When compared with women without endometriosis, the median anti-Müllerian hormone (AMH) and antral follicular count (AFC) values were significantly lower in the group of women with endometriosis-median 2.1 ng/ml (interquartile range [IQR] 1.1-3.9) versus 1.2 ng/ml (IQR 0.6-2.4; P < 0.001) for AMH and 14 follicles (IQR 8-23) versus 7 follicles (IQR 5-14; P < 0.001) for AFC. When stratified into two age groups the association between a lower AFC and endometriosis remained significant for both age groups whereas the association between a lower AMH and endometriosis was significant only for the group of women aged 35 years oor older. CONCLUSION: Our study highlights a detrimental effect by endometriosis and an age enhancement effect of endometriosis on ovarian reserve.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".