Evidence map›Paper›PMID 40169742›Full record

ArticleScientific reports2025

BMI matters: understanding the link between weight and severe psoriasis.

Huiwei Wang, Suchun Hou, Xiaojing Kang, Chen Yu, Bin Yang, Yuling Shi, Fuqiu Li, Wei Li, Jun Gu, Mingjun Lei and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Review
  7. Cxcl9 as a Marker of Adipose Tissue Changes Caused by Bariatric Surgery and Psoriasis.Clinical, cosmetic and investigational dermatology · 2026
    Article
  8. Article
  9. Relative Fat Mass and Psoriasis Risk: Evidence from NHANES 2009-2014.Journal of multidisciplinary healthcare · 2025
    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

14 authors.

Huiwei Wang *Department of Dermatology, The University of Hong Kong-Shenzhen Hospital, No. 1 Haiyuan 1 Rd, Futian District, Shenzhen, 518053, 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 YuDepartment of Dermatology, Xijing Hospital, The Fourth Military Medical University, No. 127 Changle West Road, Xi'an, 710032, Shaanxi, 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, Shanghai, 200443, China.
Fuqiu LiDepartment of Dermatology, The Second Norman Bethune Hospital, 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, Shanghai, 200072, China.
Mingjun LeiDepartment of Dermatology, Affiliated Hospital of Hebei University of Chinese Medicine, No. 389, East Road, Shijiazhuang, 050000, Hebei, China.
Youkun LinDepartment of Dermatology/Venerology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, No. 6 Shuangyong Road, Nanning, 530021, 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
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, Beijing, 100730, China. jinhongzhong@263.net.ORCID http://orcid.org/0000-0001-6234-1554
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

This study aims to investigate the causal relationship between Body Mass Index (BMI) and the severity of Psoriasis (PsO) using bidirectional Mendelian Randomization (MR) and regression analyses. We conducted a multicenter study which combined bidirectional MR analyses with regression analyses. The MR analyses included 366,776 individuals from the largest up-to-date published BMI Genome-Wide Association Study (GWAS) data. Regression analyses were performed on 1,979 patients with psoriasis from 12 participating centers (from October 31, 2019, to May 31, 2022). We assessed the impact of BMI on PsO severity using odds ratios (ORs) and regression coefficients for three key measures: the Psoriasis Area and Severity Index (PASI), Body Surface Area (BSA), and Dermatology Life Quality Index (DLQI). Two independent MR analyses revealed a significant causal association between BMI and PsO development. The first MR1 analysis showed that an increased BMI is significantly associated with a higher risk of psoriasis, with odds ratios of 2.28 (95% CI 1.33-3.92; p = 0.003). A subsequent MR2 analysis yielded consistent results, presenting an odds ratio of 2.37 (95% CI 1.16-4.85; p = 0.018) using the inverse-variance weighted method. Logistic regression showed that for every 1-unit increase in BMI (unadjusted covariates), the risk of severe psoriasis (PASI ≥ 10, BSA ≥ 10%, DLQI ≥ 10) increased by 6%, 6%, and 3%, respectively. Linear regression analysis revealed that each unit increase in BMI (not standardised) was associated with an increase of 0.25 units in the mean PASI score (p < 0.001), 0.34 units in the BSA score (p = 0.001), and 0.14 units in the DLQI score (95% CI 0.05-0.23; p = 0.001). From both the genetic and clinical severity assessment perspectives, it has been verified that abnormal weight gain is correlated with the severity of the condition in psoriasis patients. Clinicians should prioritize weight management and nutritional balance in the management of psoriatic disease. Clinicaltrials.gov: ChiCTR1900024852, date of registration: 2019-07-31.

Indexed as

Body Mass IndexBody WeightPsoriasisAdultFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedQuality of LifeSeverity of Illness IndexBody mass indexMendelian randomization studyPsoriasisRegression analysisSeverity risk

Identifiers

PMID40169742
PMCPMC11961747

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.