Evidence map›Paper›PMID 41640475›Full record

ArticlePostepy dermatologii i alergologii2025

Development and validation of a predictive risk nomogram for atopic dermatitis.

Jiayue Cui, Yahui Song, Qin Rui

Abstract read
In one paragraph

Article in Postepy dermatologii i alergologii, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

3 authors.

Jiayue CuiThe Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Medical Centre of Soochow University/Centre of Clinical Laboratory and Translational Medicine, Suzhou, China.
Yahui SongThe Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Medical Centre of Soochow University/Centre of Clinical Laboratory and Translational Medicine, Suzhou, China.
Qin RuiThe Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Medical Centre of Soochow University/Centre of Clinical Laboratory and Translational Medicine, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Atopic dermatitis (AD) is the non-fatal skin disease with the highest global disease burden. Aim: This study investigates the factors influencing AD incidence and aims to construct a predictive risk nomogram model. Material and methods: A total of 469 patients with dermatitis and eczema who were treated at the Dermatology Department of the Fourth Affiliated Hospital of Soochow University from January 2021 to May 2025 were included, and categorized into an AD group ( Results: Significant differences were observed between the AD and non-AD groups in terms of age, history of allergic diseases, family history of allergy, infantile onset history, number of medical visits, blood eosinophil count, and serum total immunoglobulin E levels ( Conclusions: Factors including frequent hospital visits, history of allergic diseases, family history of allergy, and infantile onset are closely associated with the occurrence of AD. The model based on these risk factors developed herein offers significant value as a potential tool for predicting the occurrence of AD.

Indexed as

atopic dermatitiseosinophilsIgEnomogramrisk prediction

Identifiers

PMID41640475
PMCPMC12866544

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