Evidence map›Paper›PMID 42185276›Full record

Articlenpj aging2026

Serum uric acid, gout, cardiometabolic diseases, and multimorbidity: a prospective cohort study using multi-state model.

Chuanghai Wu, Guowei Zhong, Ying Yang, Baizhao Peng, Dexian Li, Zihao Jiang, Wen Fang, Shuai Ji, Xinghong Zhou, Hiu Yee Kwan and 2 more

Abstract read
In one paragraph

Article in npj aging, 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

12 authors.

Chuanghai Wu *Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Guowei Zhong *Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Ying Yang *Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Baizhao PengNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Dexian LiNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zihao JiangNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Wen FangNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Shuai JiNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Xinghong ZhouDongguan Hospital of Guangzhou University of Chinese Medicine, Dongguan, Guangdong, China.
Hiu Yee KwanSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China.
Yanyan LiuSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China. lyyxi@163.com.
Xiaoshan ZhaoNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. zhaoxs@smu.edu.cn.

Funding

Guangzhou Science and Technology Plan Project 2024B03J1343Joint Funds of National Natural Science Foundation of China U22A20365Major scientific and technological project of Guangzhou Municipal Health Commission 20252D003Medical Scientific Research Foundation of Guangdong Province A2023322National Natural Science Foundation of China T2341019Natural Science Foundation of Guangdong Province, China 2023A1515110757Noncommunicable Chronic Diseases-National Science and Technology Major Project 2025ZD0550800Science and Technology Program of Dongguan, China 20231800913372
6 · The paper itself

Abstract

Multimorbidity, particularly cardiometabolic multimorbidity (CMM), is a growing global health challenge, defined by the co-occurrence of cardiometabolic diseases (CMDs) like type 2 diabetes, ischemic heart disease, and stroke. While serum uric acid (SUA) and gout have been linked to various chronic conditions, their roles in multimorbidity and the CMM trajectory remain unexplored in large populations. Using data from over 400,000 UK Biobank participants, we explored the associations between SUA, gout, 36 chronic conditions, and multimorbidity. A multi-state model was applied to investigate SUA and gout's roles in the CMM trajectory, including transitions from CMD-free status to first CMD (FCMD), CMM, and death. Analyses were conducted for the overall population and stratified by sex. We observed that higher SUA levels and gout were associated with a higher likelihood of multimorbidity and multiple chronic conditions, particularly CMDs. Multi-state analysis revealed that both SUA and gout increased the risk of most transitions. Classifying FCMDs by specific CMDs further revealed distinct roles of SUA/gout in disease-specific transitions, even at the same stage. Sex-specific analyses showed a stronger impact in females compared to males. These findings highlight the importance of managing SUA levels and gout to prevent multimorbidity and slow CMM progression, particularly in females.

Identifiers

PMID42185276
PMCPMC13482643

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.