AMH Highly Correlates With Cumulative Live Birth Rate in Women with Diminished Ovarian Reserve Independent of Age
Bibliographic record
Abstract
CONTEXT: Antimüllerian hormone (AMH) level is strongly associated with ovarian response in assisted reproductive technology (ART) cycles but is a poor predictor of live birth. It is unknown whether AMH is associated with cumulative live birth rates (CLBRs) in women with diminished ovarian reserve (DOR). OBJECTIVE: To examine the association between serum AMH and CLBR among women with DOR undergoing ART. METHODS: Retrospective analysis of Society for Assisted Reproductive Technology Clinic Outcome Reporting System database 2014-16. A total of 34 540 index retrieval cycles of women with AMH <1 ng/mL. The main outcome measure was cumulative live birth. RESULTS: A total of 34 540 (25.9%) cycles with AMH <1 ng/mL out of 133 442 autologous index retrieval cycles were analyzed. Cycles with preimplantation genetic testing or egg/embryo banking were excluded. Data were stratified according to AMH and, age and regression analysis of AMH and CLBR was performed for each age stratum. Multiple logistic regression demonstrated that AMH is an independent predictor of CLBR (odds ratio [OR] 1.39, 95% CI 1.18-1.64). Serum AMH was strongly associated with number of oocytes retrieved, embryos cryopreserved, mean number of cumulative embryos transferred, and percentage of cycles that had an embryo transfer. Linear regression analysis demonstrated that AMH highly correlated with CLBR in each age stratum. CONCLUSION: Serum AMH is highly correlated with CLBR in women with DOR independent of age. The addition of AMH to current age-based prognostication counseling particularly in women with DOR would provide more informative and personalized CLBR prediction prior to ART.
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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 | 0.000 | 0.003 |
| 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".