Evidence map›Paper›PMID 41716804›Full record

ArticleFrontiers in medicine2026

Extended treatment of abrocitinib: evaluation of efficacy and safety in chronic actinic dermatitis.

Lu Tang, Lanhai Zhong, Liangzi Liang, Jiande Han, Naiyu Lin

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

5 authors.

Lu TangDepartment of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lanhai ZhongDepartment of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Liangzi LiangDepartment of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jiande HanDepartment of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Naiyu LinDepartment of Dermatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: JAK inhibitors are well-established for their utilization in the treatment of autoinflammatory diseases, with the JAK1 inhibitor abrocitinib primarily employed in the management of atopic dermatitis. To provide new clinical therapeutic experience for patients with chronic actinic dermatitis (CAD), reveal the inflammatory pathways that may be involved in the treatment of CAD with abrocitinib and to provide clues for exploring the pathogenesis of CAD. Methods: In a 3-month longitudinal study, we recorded and analyzed laboratory test data and clinical severity assessments in 16 patients diagnosed with chronic actinic dermatitis treated with abrocitinib. And the plasma samples of 6 patients before and after treatment were analyzed proteomically using Olink inflammation panel. Results: After 12 weeks of treatment, there was a significant decrease in disease severity scores of 16 patients. No serious adverse events were identified throughout the course of treatment. Significant changes in several inflammatory factors such as EN-RAGE, MCP-3, MCP-4, IL-13, CCL4, FGF21 and TNFRSF9 were observed after treatment. Discussion: The analysis of our data demonstrates that abrocitinib may be an effective therapeutic option in the management of CAD. IL-13 and CCL-4 might be the core effective factors after the therapy.

Indexed as

abrocitinibchronic actinic dermatitisdifferentially expressed proteinsefficacysafety

Identifiers

PMID41716804
PMCPMC12913078

What Socratic holds

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Registered trials

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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.