Evidence map›Paper›PMID 42220473›Full record

ArticlePsoriasis (Auckland, N.Z.)2026

Development of Predictive Models for NB-UVB Treatment Efficacy and Safety in Psoriasis.

Yingyuan Yu, Bingjie Li, Yu Wang, Zhengkai Qu, Xin Wang, Yuxiong Jiang, Xiaoyuan Zhong, Youdong Chen, Dawei Huang, Xinling Bi and 6 more

Abstract read
In one paragraph

Article in Psoriasis (Auckland, N.Z.), 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

16 authors.

Yingyuan Yu *Department of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Bingjie Li *Department of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.ORCID 0000-0002-4871-7444
Yu WangDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Zhengkai QuDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Xin WangDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Yuxiong JiangDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Xiaoyuan ZhongDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Youdong ChenDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Dawei HuangDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.ORCID 0000-0003-0732-1467
Xinling BiDepartment of Dermatology, Changhai Hospital, Naval Medical University, Shanghai, 200433, People's Republic of China.
Jiajing LuDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Yangfeng DingDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Yu GongInstitute of Psoriasis, Tongji University School of Medicine, Shanghai, 200072, People's Republic of China.
Jun GuInstitute of Psoriasis, Tongji University School of Medicine, Shanghai, 200072, People's Republic of China.
Xilin ZhangDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Yuling ShiDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.ORCID 0000-0002-1273-7881

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psoriasis is a chronic inflammatory skin disease. Narrow-band ultraviolet B (NB-UVB) phototherapy is an effective, cost-efficient, and safe treatment for plaque psoriasis; however, predictors of treatment response remain limited. Objective: To develop predictive models for the efficacy and safety of NB-UVB phototherapy in patients with plaque psoriasis. Methods: A total of 252 patients with plaque psoriasis were enrolled and received 12 weeks of NB-UVB phototherapy. Baseline clinical data and blood samples for genetic analysis were collected. A genome-wide association study (GWAS) was performed to identify single-nucleotide polymorphisms (SNPs) associated with treatment response and adverse events (AEs). Results: Using a suggestive genome-wide significance threshold ( Conclusion: Predictive models of NB-UVB treatment response in psoriasis were subsequently established and achieved area under the curve (AUC) values ranging from 0.80 to 0.85. Further validation in independent external cohorts is needed before clinical application.

Indexed as

genome-wide association studynarrow-band ultraviolet Bphototherapypredictive modelpsoriasissingle-nucleotide polymorphism

Identifiers

PMID42220473
PMCPMC13220831

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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 OpenQuestion graph.