Risk Correlation Analysis between Polycystic Ovary Syndrome (PCOS) and Serum Visfatin Levels in Middle-Aged Women: Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: Polycystic ovary syndrome (PCOS) is an endocrine disorder that occurs frequently in women of childbearing age and is associated with insulin resistance. Serum visfatin can affect insulin resistance by binding to insulin receptors and further affect the occurrence and development of PCOS. In this study, we investigated the current status of serum visfatin levels in patients with PCOS through a literature search and meta-analysis. METHODS: We searched online Pubmed, Embase, Web of Science, the Cochrane Library, CNKI (China National Knowledge Infrastructure), CBMdisc (China Biology Medicine disc) databases and registered websites such as the ICTRP (International Clinical Trial Registration Platform) and clinicaltrials.gov (https://clinicaltrials.gov/) for case-control studies on PCOS and visfatin levels, assessed the quality of the included articles with the Newcastle-Ottawa Scale (NOS scale), and combined the comparison of serum visfatin levels between patients with PCOS and healthy individuals from high-quality studies. RESULTS: = 0.001]. Heterogeneity in the combined analysis was not related to study location, the publication year of the literature, source of serum samples, but was influenced by the quality of the literature. After excluding the most influential papers, the combined analysis was conducted again, and the conclusion was consistent with that before the exclusion. The results of Egger's test showed no significant publication bias. CONCLUSIONS: High serum visfatin levels are a natural feature of PCOS and are not associated with obesity; Serum visfatin levels may be a potential marker for the diagnosis of PCOS, but their relationship with PCOS and insulin resistance remains worthy of in-depth investigation.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.002 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".