Influence of polymorphisms in <i>VEGF</i>, <i>TNF-α</i>, and <i>GSTP1</i> genes on retinopathy of prematurity risk: a Meta-analysis
Bibliographic record
Abstract
Purpose: To investigate the influence of polymorphisms in vascular endothelial growth factor (VEGF), tumor necrosis factor-α (TNF-α), and glutathione S-transferase Pi isoform (GSTP1) genes on retinopathy of prematurity (ROP) risk, we performed a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-compliant meta-analysis.Methods: An exhaustive search was conducted in PubMed, Web of Science, and CNKI for genetic studies evaluating the relationship between VEGF (−460 T/C, +936 C/T, −634 G/C, and −2578 C/A), TNF-α (−308 G/A) and GSTP1 (Ile/Val) polymorphisms and ROP risk from inception until November 2019. Odds ratio (OR) with the 95% confidence interval (CI) were used for estimating combined effect size. The quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS).Results: A total of 14 studies met the inclusion criteria. The meta-analyses revealed that VEGF − 460 T/C was associated with ROP risk in the allele model (C vs. T, OR = 0.83, 95% CI: 0.74–0.94, POR=0.004), homozygous gene model (CC vs. TT, OR = 0.70, 95% CI: 0.54–0.91, POR=0.008), dominant gene model (CC + TC vs. TT, OR = 0.80, 95% CI: 0.67–0.95, POR = 0.012), and recessive gene model (CC vs. TC + TT, OR = 0.74, 95% CI: 0.59–0.94, POR = 0.014). However, we did not find significant differences in the genotype and allele distribution of VEGF + 936 C/T, −634 G/C, −2578 C/A, TNF-α − 308 G/A and GSTP1 Ile/Val polymorphisms, between ROP and control group (p > .05).Conclusions: VEGF polymorphism −460 T/C was associated with a lower ROP risk. Further research is warranted to investigate haplotype effects of VEGF polymorphisms on the risk of ROP.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".