Interleukin 4 –590C/T (rs2243250) Polymorphism Is Associated With Increased Risk of Atopic Dermatitis: Meta-Analysis of Case-Control Studies
Bibliographic record
Abstract
BACKGROUND: Interleukin 4 (IL-4) -590C/T polymorphism has been reported to influence atopic dermatitis (AD) susceptibility, but the results are controversial. OBJECTIVE: This meta-analysis was performed to study the association between IL-4 -590C/T polymorphism and AD susceptibility. METHODS: The PubMed, Embase, and China National Knowledge Infrastructure databases were searched. Odds ratios (ORs) with 95% confidence intervals (CIs) were performed to estimate the strength of the association. RESULTS: Ten studies comprising 923 cases and 1215 controls were included. The overall population revealed significant associations between IL-4 -590C/T polymorphism and AD susceptibility under the allele (OR, 1.19; 95% CI, 1.03-1.38; I = 0.0%), recessive (OR, 1.27; 95% CI, 1.002-1.61; I = 0.0%), and dominant (OR, 1.33; 95% CI, 1.003-1.76; I = 0.0%) models; similar results were found under the allele (OR, 1.19; 95% CI, 1.01-1.39; I = 0.0%) and recessive (OR, 1.27; 95% CI, 1.001-1.62; I = 0.0%) models after excluding not-in-Hardy-Weinberg equilibrium studies. However, subgroup analyses by ethnicity showed no significant association in Asians or whites. Subgroup analyses by age indicated a significant association in children under the allele (OR, 1.30; 95% CI, 1.06-1.60; I = 0.0%) and dominant (OR, 1.42; 95% CI, 1.02-1.97; I = 0.0%) models, children in articles with Hardy-Weinberg equilibrium under the allele model (OR, 1.33; 95% CI, 1.05-1.69; I = 0.0%), and Asian children under the allele model (OR, 1.41; 95% CI, 1.02-1.95; I = 0.0%) but not in white children. CONCLUSIONS: The IL-4 -590C/T polymorphism may contribute to AD susceptibility in the overall population and children, especially for Asian children, but large well-designed studies are warranted to confirm this conclusion.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.038 |
| Bibliometrics | 0.005 | 0.007 |
| 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) | 0.003 | 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".