Assessment of the Ovarian Reserve by Serum Anti-Müllerian Hormone in Rheumatoid Arthritis Patients: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: The ovarian reserve has been reported to be diminished in patients with rheumatoid arthritis. However, these results are still controversial. Anti-Müllerian hormone (AMH) is considered a reliable biomarker for the ovarian reserve. We thus performed a meta-analysis to evaluate the AMH levels and the effect of DMARDs on the ovarian reserve in rheumatoid arthritis patients. METHODS: PubMed, EMBASE, the Cochrane Library, and 2 Chinese databases (CNKI and Wanfang database), up to September 2021, were searched for relevant studies. The Newcastle-Ottawa scale (NOS) was used to assess the quality of the included studies. Pooled standard mean difference (SMD) with 95% confidence intervals (CIs) were determined with the random-effects model. The heterogeneity was described by I2 statistic and p value from the Cochrane Q test. RESULTS: Eight eligible studies (679 patients and 1,460 controls) were included in the meta-analysis. Compared with healthy control, the AMH levels in RA patients were significantly lower with the pooled SMD of -0.40 (95% CI: -0.66 to -0.14). However, in comparison of AMH with and without DMARD treatment, there was no significant difference with the pooled SMD of -0.1 (95% CI: -0.39 to 0.19). CONCLUSION: The results indicated that there was an increased risk of ovarian failure in RA patients and which is not related to DMARD treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".