Evidence map›Paper›PMID 42682749›Full record

ReviewFrontiers in pediatrics2026

Pediatric atopic dermatitis: biomarker advances in severity, persistence, and non-invasive monitoring.

Zhuoyuan Li, Yuanjun Li

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 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

2 authors.

Zhuoyuan LiSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Yuanjun LiDepartment of Dermatology, Children's Hospital of Shanxi Province, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atopic dermatitis (AD) in children differs immunologically and in barrier characteristics from adult AD, yet current severity assessment still relies heavily on clinical scoring systems with inherent subjectivity. This review summarizes advances in biomarkers associated with disease severity and persistence, as well as non-invasive detection techniques and targeted therapies. TARC/CCL17, periostin, total IgE, and eosinophil counts show consistent utility in grading severity, whereas FLG loss-of-function mutations, VEGF, S100A8/A9, and early skin barrier indicators are promising predictors of disease persistence and atopic march progression. Tape stripping and sebum RNA analysis enable safe, repeated monitoring in children. Despite these advances, most biomarkers still lack pediatric-specific cut-offs and large-scale validation. Future efforts should focus on establishing multi-marker panels, pediatric reference intervals, and machine learning models for endotype classification. Incorporating these tools into routine practice would facilitate early risk stratification, precise targeted treatment selection, and ultimately more personalized management of pediatric AD.

Indexed as

atopic dermatitisbiomarkerschildrendetection techniquesendotypepersonalized treatment

Identifiers

PMID42682749
PMCPMC13530888

What Socratic 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 Socratic graph.