Evidence map›Paper›PMID 41868903›Full record

ArticleAmerican journal of translational research2026

Immune and environmental predictors of disease severity in atopic dermatitis: a retrospective cohort study.

Hao Wu, Zhongxiao Wu, Yanna Shen, Li Zhang, Mouzhe Yang, Yougang Ren, Feng Mao

Abstract read
In one paragraph

Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hao WuDepartment of Dermatology, Ningbo No. 6 Hospital Ningbo 315000, Zhejiang, China.
Zhongxiao WuDepartment of Dermatology, Ningbo No. 6 Hospital Ningbo 315000, Zhejiang, China.
Yanna ShenDepartment of Dermatology, Ningbo No. 6 Hospital Ningbo 315000, Zhejiang, China.
Li ZhangDepartment of Dermatology, Ningbo No. 6 Hospital Ningbo 315000, Zhejiang, China.
Mouzhe YangDepartment of Dermatology, Ningbo No. 6 Hospital Ningbo 315000, Zhejiang, China.
Yougang RenDepartment of Dermatology, Ningbo No. 6 Hospital Ningbo 315000, Zhejiang, China.
Feng MaoDepartment of Dermatology, Ningbo No. 6 Hospital Ningbo 315000, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the clinical and epidemiologic characteristics of atopic dermatitis (AD) and their correlation with lesion severity.

methodsA total of 3,912 patients with AD were enrolled in this analysis. Statistical analyses included the chi-square test and multivariate logistic regression to identify independent risk factors.

resultsThe incidence was higher in patients under 10 years old and those with onset in autumn. The primary inducing factors varied with disease severity: hot water bathing (mild cases), seasonal changes/dust mites (moderate cases), and seasonal changes/pet contact (severe cases). The main clinical manifestations were pruritus and xerosis cutis. Elevated eosinophils and increased immunoglobulin E (IgE) levels were observed. Multivariate regression analysis identified elevated IgE levels (OR = 3.41), pet contact (OR = 3.25), elevated eosinophils (OR = 2.95), and seasonal variation (OR = 2.18) as significant independent risk factors for disease exacerbation.

conclusionAD severity is independently associated with specific immune biomarkers and environmental exposures, targeted intervention, thus offering a basis for risk stratification and targeted clinical management.

Indexed as

Atopic dermatitisdisease severityenvironmental exposureimmunoglobulin Erisk factor

Identifiers

PMID41868903
PMCPMC13000821

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.