Evidence map›Paper›PMID 40919650›Full record

ArticleDiabetes, obesity & metabolism2025

Investigating multimorbidity trajectories in people living with MASLD diagnosis: A trajectory analysis using the UK Biobank.

Fang Lu, Hailin Yang, Bingyang She, Qianhui Lu, Yining Bao, Wai-Kay Seto, William C W Wong, Man-Fung Yuen, Yingli He, Xinyuan He and 2 more

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Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

12 authors.

Fang LuPhase I Clinical Trial Research Ward, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China.ORCID 0009-0009-1194-9784
Hailin YangPhase I Clinical Trial Research Ward, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China.
Bingyang ShePhase I Clinical Trial Research Ward, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China.
Qianhui LuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Yining BaoPhase I Clinical Trial Research Ward, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China.
Wai-Kay SetoDepartment of Medicine and State Key Laboratory of Liver Research, The University of Hong Kong, Pokfulam, Hong Kong.
William C W WongDepartment of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.ORCID 0000-0003-2540-4055
Man-Fung YuenDepartment of Medicine, Queen Mary Hospital, School of Clinical Medicine, and State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong, People's Republic of China.
Yingli HeDepartment of Infectious Diseases, The First Affiliated Hospital, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi, People's Republic of China.
Xinyuan HeDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Fanpu JiDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.ORCID 0000-0002-1463-8035
Lei ZhangPhase I Clinical Trial Research Ward, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China.ORCID 0000-0003-2343-084X

Funding

Ministry of Science and Technology of the People's Republic of China 2022YFC2304900Ministry of Science and Technology of the People's Republic of China 2022YFC2304905the National Key R&D Program of China 2018YFC1315300the National Key R&D Program of China 2022YFC2505100the National Key R&D Program of China 2022YFC2505103
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is an emerging global health concern, and its presence increases the risk of multi-system diseases. This study aimed to investigate the multimorbidity trajectories of chronic diseases in people living with MASLD.

methodsWe identified 137 859 MASLD patients in UK Biobank and used 'propensity score matching' to match an equal number of non-MASLD controls. Diseases were reclassified into 472 categories based on the International Classification of Diseases, Tenth Revision (ICD-10) chapters. Multimorbidity trajectories post-MASLD diagnosis were mapped using validated trajectory analysis. We introduced the 'Multimorbidity Trajectory Position Index (MTPI)' to denote a disease's position across trajectories, highlighting its temporal pattern.

resultsParticipants had a median age of 59 (52-64) years, with 65.6% being male. Over 13 years of follow-up, Phenome-wide association analysis (PheWAS) identified 128 diseases with elevated risks post-MASLD diagnosis, with obesity (HR: 8.77, 95% CI: 8.37-9.18), diabetes (HR: 4.34, 95% CI: 4.15-4.53), and sleep disorders (HR: 3.21, 95% CI: 3.01-3.42) showing the strongest associations. Trajectory analysis revealed 6637 common trajectories involving 69 diseases, grouped into metabolic, inflammatory, and cardiovascular clusters. These clusters are linked to downstream conditions, with intermediary diseases such as hypertension, diabetes, and inflammatory arthritis, ultimately leading to electrolyte imbalances and sepsis. MTPI demonstrated a gradient in disease progression, with early-stage conditions showing low values, mid-stage conditions moderate values, and late-stage conditions high values.

conclusionPeople living with MASLD demonstrated multimorbidity trajectories involving co-occurrence of metabolic diseases, chronic inflammation, and cardiovascular diseases. If replicated, these pathways may serve as promising targets to improve late-life health in individuals with MASLD.

Indexed as

MultimorbidityNon-alcoholic Fatty Liver DiseaseAgedBiological Specimen BanksFemaleHumansMaleMiddle AgedRisk FactorsUK BiobankUnited Kingdomdisease trajectorymetabolic dysfunction‐associated steatotic liver diseasemultimorbiditynon‐alcoholic fatty liver diseaseUK Biobank

Identifiers

PMID40919650
PMCPMC12587229

What Socratic holds

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Registered trials

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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 Socratic graph.