Evidence map›Paper›PMID 42572405›Full record

ArticleJMIR research protocols2026

Efficacy and Safety of Integrated Traditional Chinese Medicine and Biologic Treatment in Moderate to Severe Atopic Dermatitis: Protocol for a Prospective Observational Real-World Study.

Fanlingzi Shen, Ruiqi Cai, Jinrong Lu, Xiangjin Gao, Wencheng Jiang, Bin Li, Ruiping Wang

Abstract read
In one paragraph

Article in JMIR research protocols, 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.

Fanlingzi Shen *Clinical Research Center, Shanghai Skin Disease Hospital, 1278 Baode Road, Jing'an District, Shanghai, China, 86 (021)36803000.ORCID 0009-0000-1911-9691
Ruiqi Cai *School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0009-0003-2287-6660
Jinrong Lu *School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0009-0000-5605-2692
Xiangjin GaoClinical Research Center, Shanghai Skin Disease Hospital, 1278 Baode Road, Jing'an District, Shanghai, China, 86 (021)36803000.ORCID 0000-0002-1793-7970
Wencheng JiangDermatology of Traditional Chinese Medicine, Shanghai Skin Disease Hospital, Shanghai, China.ORCID 0009-0006-3733-687X
Bin LiClinical Research Center, Shanghai Skin Disease Hospital, 1278 Baode Road, Jing'an District, Shanghai, China, 86 (021)36803000.ORCID 0000-0002-8607-8874
Ruiping WangClinical Research Center, Shanghai Skin Disease Hospital, 1278 Baode Road, Jing'an District, Shanghai, China, 86 (021)36803000.ORCID 0000-0003-4183-5795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atopic dermatitis (AD) is a chronic and relapsing skin disorder that significantly impairs patients' quality of life. Long-term biologic therapy provides durable efficacy for AD, but raises concerns related to costs, safety, and withdrawal-associated relapse. Traditional Chinese medicine (TCM) has a long history in AD treatment and is usually integrated with biologic treatment to achieve complementary benefits and provide comprehensive care for patients with AD. However, high-quality evidence supporting its real-world efficacy remains limited. Objective: This study aims to collect real-world data to evaluate the efficacy and safety of TCM integrated with biologics (TCMIB) in moderate to severe AD, thereby providing methodological insights to obtain high-quality evidence and inform future in-depth research on AD treatment. Methods: A total of 3500 patients with moderate to severe AD will be classified into 7 groups based on clinical manifestations and receive 16 weeks of treatment followed by 36 weeks of observation. A reduction of 75% or more in eczema area and severity index score from baseline to week 16 is set as the primary outcome. The secondary outcomes include the eczema area and severity index, body surface area, Investigator's Global Assessment scale, Dermatology Life Quality Index, numerical rating scale for pruritus, Patient-Oriented Eczema Measure, Atopic Dermatitis Control Tool, and TCM syndrome scale. Assessments will be performed at baseline, every 2 weeks until week 16, and then every 4 weeks until week 52. Safety assessments include vital signs, concomitant medications, and adverse events. The SAS software (version 9.4) will be used for data analysis, and a P value of less than .05 will be considered statistically significant. Results: This study has been approved by the institutional review boards of Shanghai Skin Disease Hospital and registered on the International Traditional Medicine Clinical Trial Registry (ITMCTR2025000984). Patient recruitment began in June 2025 and is expected to be completed in January 2028. Data analysis will begin in June 2028. The main results of the study are expected to be submitted for publication in peer-reviewed journals in December 2028. Conclusions: The anticipated findings of this protocol are projected to furnish strong evidence on the efficacy and safety of TCMIB for moderate to severe AD, potentially contributing to the standardization of TCMIB and optimization of clinical practice.

Indexed as

Biological TherapyDermatitis, AtopicMedicine, Chinese TraditionalAdolescentAdultFemaleHumansMaleMiddle AgedObservational Studies as TopicProspective StudiesQuality of LifeSeverity of Illness IndexTreatment OutcomeYoung Adultatopic dermatitisbiologic treatmentintegrative medicinereal-world studystudy protocoltraditional Chinese medicine

Identifiers

PMID42572405
PMCPMC13454249

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.