Evidence map›Paper›PMID 41326745›Full record

ArticleInternational journal of obesity (2005)2026

Long-term impact of newly-proposed clinical obesity on autoimmune disease incidence: insights from the UK Biobank.

Manrong Xu, Menghan Li, Yawen Zhang, Lianxi Li, Yun Shen, Gang Hu

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Manrong XuDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China.
Menghan LiDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China.
Yawen ZhangDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China.
Lianxi LiDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China. lilx@sjtu.edu.cn.
Yun ShenChronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA. yun.shen@pbrc.edu.ORCID 0000-0002-9850-122X
Gang HuChronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.ORCID 0000-0002-6172-8017

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe definition of clinical obesity was newly announced. The aim of our study was to investigate the association of preclinical obesity and clinical obesity either at baseline or determined during follow-ups with the risk of autoimmune diseases (s) incidence. SUBJECTS/

methodsData were collected from 229,190 participants in the UK Biobank. Dysfunctions caused by obesity, in combination with anthropometric parameters, were used to diagnose clinical obesity. Seven prevalent ADs were analysed, including seropositive rheumatoid arthritis (PRA), psoriasis (PSO), multiple sclerosis (MS), systemic lupus erythematosus (SLE), myasthenia gravis (MG), Crohn's disease (CD), and ulcerative colitis (UC). According to obesity and dysfunction status, participants were categorized into six clusters. Time-dependent Cox model was used to compare hazard ratios (HRs) for ADs incidence across six clusters.

resultsIn a total of 4938 ADs incidence events over a mean follow-up of 13.3 years, participants in Cluster 6 (clinical obesity at baseline; HR = 2.48, 95% CI: 2.222.78) and Cluster 3 (non-obesity and dysfunction at baseline; HR = 2.16, 95% CI: 1.83-2.55) exhibited the highest multivariable-adjusted mortality risk compared with participants without obesity and dysfunction at baseline and during follow-up (Cluster 1). Specific ADs analyses showed consistently higher incidence risks in Cluster 6, notably in PSO and PRA (HR = 4.31, 95% CI: 3.58-5.19 and HR = 3.63, 95% CI: 2.54-5.18, respectively).

conclusionClinical obesity was significantly associated with elevated ADs incidence risk. These findings underscore the importance of early screening and intervention of clinical obesity and dysfunctions due to obesity.

Indexed as

Autoimmune DiseasesObesityAdultAgedBiological Specimen BanksFemaleHumansIncidenceMaleMiddle AgedRisk FactorsUK BiobankUnited Kingdom

Identifiers

PMID41326745
PMCPMC13007819

What Socratic holds

Textmetadata
LicenceTDM
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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.