Evidence map›Paper›PMID 39468139›Full record

ArticleScientific reports2024

A large-scale retrospective study in China explores risk factors for disease severity in plaque psoriasis.

Huiwei Wang, Jialiang Shi, Suchun Hou, Xiaojing Kang, Chen Yu, Hongzhong Jin, Bin Yang, Yuling Shi, Fuqiu Li, Wei Li and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

18 authors.

Huiwei Wang *Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, No. 1 Haiyuan 1 Rd, Futian District, Shenzhen, 518053, Guangdong, China.
Jialiang ShiDepartment of Dermatology, Shenzhen University General Hospital, No. 1098 Xue Yuan Avenue, Xi Li University Town, Nanshan District, Shenzhen, 518055, Guangdong, China.
Suchun Hou *Department of Dermatology, Shenzhen University General Hospital, No. 1098 Xue Yuan Avenue, Xi Li University Town, Nanshan District, Shenzhen, 518055, Guangdong, China.
Xiaojing KangDepartment of Dermatology and Venereology, People's Hospital of Xinjiang Uygur Autonomous Region, No. 91 Tianchi Road, Tianshan District, Urumqi, 830001, Xinjiang, China.
Chen Yu *Department of Dermatology, Xijing Hospital, The Fourth Military Medical University, No. 127 Changle West Road, Xi'an, 710032, Shaanxi, China.
Hongzhong JinDepartment of Dermatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifu Garden, Dongcheng District, 100730, Beijing, China.
Bin YangDepartment of Dermatology, Dermatology Hospital of Southern Medical University, No. 2 Lujing Road, Yuexiu District, Guangzhou City, 510091, Guangdong, China.
Yuling ShiDepartment of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, No. 1278 Baode Road, Jing'an District, 200443, Shanghai, China.
Fuqiu LiDepartment of Dermatology, The Second Norman Bethune Hospital of Jilin University, Jilin University, No. 218 Ziqiang Street, Nanguan District, Changchun, 130041, Jilin, China.
Wei LiDepartment of Dermatology, Rare Diseases Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, 610041, Sichuan, China.
Jun GuDepartment of Dermatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Yanchang Road, Jing'an District, 200072, Shanghai, China.
Mingjun LeiDepartment of Dermatology, Affiliated Hospital of Hebei University of Chinese Medicine, No. 389 Zhongshan East Road, Shijiazhuang, 200072, Hebei, China.
Youkun LinDepartment of Dermatology/Venerology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Lin DangDepartment of Dermatology, Longgang Central Hospital, No. 6082, Longgang Avenue, Longgang District, Shenzhen, 518116, Guangdong, China.
Jialin LinDepartment of Dermatology, The University of Hong Kong-Shenzhen Hospital, No. 1 Haiyuan 1 Rd, Futian District, Shenzhen, 518053, Guangdong, China.
Qing GuoDepartment of Dermatology, The University of Hong Kong-Shenzhen Hospital, No. 1 Haiyuan 1 Rd, Futian District, Shenzhen, 518053, Guangdong, China.
Gang WangDepartment of Dermatology, Xijing Hospital, The Fourth Military Medical University, No. 127 Changle West Road, Xi'an, 710032, Shaanxi, China. xjwgang@fmmu.edu.cn.ORCID http://orcid.org/0000-0002-5842-8080
Xiaoming LiuDepartment of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital (The 6th Affiliated Hospital of Shenzhen University Medical School), No. 89 Taoyuan Road, Nanshan District, Shenzhen, 518052, Guangdong, China. liuxm1371447@126.com.ORCID http://orcid.org/0009-0009-0867-8864

Funding

High Level-Hospital Program, Health Commission of Guangdong Province HKUSZH201906001
6 · The paper itself

Abstract

Severe psoriasis has a long course and poor outcome, and it has long been a problem for patients. Understanding the independent risk factors that contribute to patients with severe psoriasis is critical for the development of effective treatment strategies. This large, multicenter study recruited 2,109 plaque psoriasis patients from 12 hospitals across China (October 31, 2019 - May 31, 2022). The logistic regression model underwent internal validation and external validation using two independent cohorts over future time periods (June 1, 2022 - January 31, 2023). The discriminative power of our model was substantiated by a C-index of 0.863 (95% CI: 0.848-0.879) in internal validation, further affirmed through 1,000 bootstrap validation (C-index: 0.860, 95% CI: 0.836-0.885) and external validation cohorts, where the C-index reached up to 0.910 (95% CI: 0.868-0.953) and 0.951 (95% CI: 0.924-0.977) in 2 external validation cohorts. To enhance accessibility for clinicians, the model has been made available as a dynamic nomogram and QR code. Our study identified 10 risk factors (the "DELPHI" consensus dichotomy, the DLQI index, the extent of skin involvement as measured by body surface area, the age of the patient at the time of clinical visit, sex, body weight in kilograms, career, the presence of scalp involvement, facial involvement, and arthropathy) for the overall severity of psoriasis (PASI ≥ 10). "Nomogram-10" provides clinicians with a practical tool to develop personalized intervention strategies based on an individual's risk profile.Trial registration: Chinese Clinical Trial Registry: ChiCTR1900024852.

Indexed as

PsoriasisSeverity of Illness IndexAdultAgedChinaFemaleHumansLogistic ModelsMaleMiddle AgedNomogramsRetrospective StudiesRisk FactorsLogistic regressionNomogramPlaque psoriasisRisk assessmentSevere psoriasisSeverity risk

Identifiers

PMID39468139
PMCPMC11519361

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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.