Association between circulating visfatin and pre-eclampsia: a systematic review and meta-analysis
Bibliographic record
Abstract
Objective Pre-eclampsia (PE) is a serious pregnancy status characterized by high blood pressure. Although visfatin is usually associated with PE. Observational studies evaluating the relationship between circulating visfatin and pre-eclampsia have reported inconsistent results. We conducted this systematic review and meta-analysis to summarize published data on the association between visfatin and pre-eclampsiaMethods Electronic databases PubMed, ISI web of science, EMBASE, Scopus and the Cochrane library were comprehensively searched for selection of eligible studies until January 5, 2020. A random-effects model and the generic inverse variance method were used for quantitative data synthesis. The assessment of study quality was performed using the e Newcastle–Ottawa scale and the Agency for Healthcare Research and Quality. Sensitivity analyses and prespecified subgroup were conducted to evaluate potential heterogeneity. Random-effects meta-regression was conducted to assess the impact of potential confounders on the estimated effect sizes. The protocol for this study was registered in PROSPERO (No. CRD42018105861) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).Results Thirteen studies comprising a total of 536 subjects were included in this meta-analysis. We observed that the pre-eclampsia risk is associated with a statistically significant elevation of visfatin level [SMD (1.33 µg/l) (95% CI 0.37, 2.2) p = .007]. No significant publication bias was observed in the meta-analysis. Subgroup and sensitivity analyses indicated that the pooled effects size were affected by systolic blood pressure [SMD (1.82 µg/l) 95% CI (0.94, 2.7), p < .05], gestational age [SMD (2.01 µg/l) 95% CI (0.57, 3.4), p = .006], body mass index [SMD (1.6 µg/l) 95% CI (0.37, 3), p < .05] and pregnancy trimesters[SMD (2.3 µg/l) 95% CI (0.95, 3.7), p = .001]. Random-effects meta-regression showed a significant association of visfatin level with potential confounders including systolic blood pressure, gestational age and birth weight at delivery of pre-eclampsia patients.Conclusions Collectively, our data revealed that the increase of visfatin level can be associated with the risk of pre-eclampsia. However, further studies on pre-eclampsia populations are warranted for corroboration of our findings.
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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 | 0.015 | 0.031 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 0.046 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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".