Apelin levels in pregnant women with and without gestational diabetes mellitus: a collaborative systematic review and meta-analysis
Bibliographic record
Abstract
<b>Aims:</b> This systematic review and meta-analysis investigated maternal apelin levels in pregnant women with and without GDM. Secondary outcomes were glucose- and lipid-related results.<b>Methods:</b> Databases including PubMed, Embase, Cochrane Library, LILACS, CNKI, and Wang Fang were searched. The methodological quality of included studies was evaluated with the Newcastle-Ottawa Scale. Mean differences (MDs) or standardized MDs (SMDs) with their 95% confidence intervals (CIs) were evaluated. Random effect model analyses were carried out and heterogeneity with the <i>I</i><sup>2</sup> and <i>Tau</i><sup>2</sup> statistics.<b>Results:</b> Fourteen observational studies (sample size: 1033 women with GDM and 1053 for control women) with a low or moderate risk of bias were included in the analysis. During the second half of pregnancy, maternal apelin estimate was significantly higher in women with GDM (SMD = 0.64; 95% CI: 0.03 to 1.25), as well as insulin (SMD = 1.41% CI: 0.84 to 1.99), glucose (SMD = 1.56; 95% CI 1.20 to 1.91), glycated hemoglobin (SMD = 1.11, 95% CI: 0.69 to 1.54), HOMA-IR (MD = 2.25; 95%CI: 1.51 to 2.98), BMI (MD = 0.80 kg/m<sup>2</sup>, 95%CI: 0.52 to 1.08), total cholesterol (SMD = 0.42, 0.12 to 0.73), LDL-cholesterol (SMD = 0.63, 95%CI: 0.23 to 1.02), and triglycerides (SMD = 0.40, 95%CI: 0.19 to 0.61) as compared to control women. There was heterogeneity between studies as evidence by high <i>I</i><sup>2</sup> values. Meta-regression analysis indicated statistically significant regression coefficients for age of women, glucose and total cholesterol.<b>Conclusions:</b> GDM was associated with increased circulating apelin, insulin, glucose, glycated hemoglobin, total cholesterol, LDL-cholesterol levels, and HOMA-IR index.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.093 | 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".