Association of circulating monocyte chemoattractant protein‐1 levels with polycystic ovary syndrome: A meta‐analysis
Bibliographic record
Abstract
PROBLEM: Polycystic ovary syndrome (PCOS) is a common hormonal disorder that has a huge impact on the human infertility. Increased levels of various circulating inflammatory cytokines have been observed in PCOS patients, which can contribute to the pathogenesis of PCOS. Monocyte chemoattractant protein-1 (MCP-1), a secretory chemokine, is a potent chemotactic factor that recruits monocytes/macrophages to inflammatory foci. Several previous studies comparing the circulating MCP-1 levels between non-PCOS and PCOS patients have yielded contradictory results. Therefore, the aim of this meta-analysis was to investigate whether circulating MCP-1 levels vary between non-PCOS and PCOS patients. METHODS: Research articles published before November 11, 2020, were screened to identify eligible studies. Heterogeneity, sensitivity, and publication bias were analyzed using STATA software. Standardized mean difference (SMD) with a 95% confidence interval (CI) was calculated by the STATA software using a random-effects model. RESULTS: 11 studies were included in this meta-analysis involving 897 individuals: 368 non-PCOS patient and 529 PCOS patients. Our pooled meta-analysis results show that circulating MCP-1 levels were significantly higher in PCOS patients than in non-PCOS patients (SMD = 0.84, 95% CI = [0.37, 1.31], Z = 3.50, p < 0.01). However, due to the limited number of studies included in this meta-analysis, subgroup analysis determined that circulating MCP-1 levels were not significantly varied between obese non-PCOS and obese PCOS patients (SMD = 0.42, 95% CI = [-0.65, 1.49], Z = 0.77, p = 0.442) as well as between non-PCOS and PCOS patients without obesity (SMD = 2.04, 95% CI = [-0.84, 4.93], Z = 1.39, p = 0.166). In addition, circulating MCP-1 levels were also not significantly different between obese and non-obese PCOS patients (SMD = -0.04, 95% CI = [-0.68, 0.60], Z = 0.11, p = 0.909). CONCLUSION: Our findings reveal that circulating MCP-1 levels are upregulated in women with PCOS and are associated with an increased risk of PCOS.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.049 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".