Association between IL-25, IL-33 and atopic dermatitis: A systematic review and meta-analysis
Bibliographic record
Abstract
Objective: To evaluate the association between IL-25, IL-33 and AD more generally. Methods: Databases, including PubMed, Web of Science, EMBASE, Scopus, CNKI and Sinomed were searched. Based on the criteria, publications were collected. The evaluation of study quality was through Newcastle-Ottawa Scale (NOS). Fixed or random effect model was selected according to the between-study heterogeneity to evaluate the association. The analysis procedure and the construction plots were using Review Manager 5.3 software. Results: Six studies were included. A total of 282 subjects were included from four studies to analyze the association between IL-25 and AD. The level of IL-25 was significantly elevated in AD patients, comparing with the control subjects (SMD = 0.89, 95% CI: 0.64, 1.14, p < 0.05). For IL-33, a total of 247 subjects were included from two studies, and the level of IL-33 was also significantly elevated in AD patients comparing to the control subjects (SMD = 0.49, 95% CI: 0.19, 0.80, p < 0.05). Conclusions: The serum levels of IL-25, IL-33 are elevated in AD patients of this study. The IL-25 and IL-33 are significantly associated with the risk of AD. Further studies with larger samples, in multiple countries and focused on different age groups are need.
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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 | 0.011 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.029 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".