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Record W6889164850 · doi:10.25384/sage.c.6722292.v1

Association between IL-25, IL-33 and atopic dermatitis: A systematic review and meta-analysis

2023· other· en· W6889164850 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAssociation (psychology)Meta-analysisRandom effects modelBonferroni correctionScale (ratio)MEDLINE

Abstract

fetched live from OpenAlex

<b>Objective:</b> 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. <b>Results:</b> 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, <i>p</i> &lt; 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, <i>p</i> &lt; 0.05). <b>Conclusions:</b> 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.509
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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.

Opus teacher head0.127
GPT teacher head0.359
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueSage Journals DataFrench-language works237,207