Evidence map›Paper›PMID 42494901›Full record

ArticleFrontiers in public health2026

The trajectories of cardiometabolic multimorbidity associate with mortality risk: a study based on Guangdong adult chronic diseases and risk factors cohort.

Shanghui Ye, Xiuling Song, Maigeng Zhou, Zhenping Zhao, Yuchang Zhou, Xuan Yang, Jianxiong Hu, Keqing Liang, Aga Zheng, Ni Xiao and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2026. 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

19 authors.

Shanghui Ye *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Xiuling Song *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Maigeng ZhouGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Zhenping ZhaoThe National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, China.
Yuchang ZhouThe National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, China.
Xuan YangThe National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, China.
Jianxiong HuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Keqing LiangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Aga ZhengDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Ni XiaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Liming PuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Xueyan ZhengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Ye WangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Dejian ZhaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Yu LiaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Tao LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Ruilin MengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Guanhao HeDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiometabolic multimorbidity (CMM) prevalence has risen, but longitudinal evidence on trajectories and mortality links remains limited. Objective: This study aimed to examine CMM trends and the impact of its statuses/trajectories on mortality in Guangdong, China. Design: This is a cohort study. Setting: Data were collected from the Guangdong Provincial adult chronic diseases and risk factors cohort (GDACRC). The follow-up data were collected from the hospitalization record system and the vital register system in Guangdong Province. Participants: Baseline surveys were separately conducted in 2007, 2010, 2013, 2015, and 2018, which recruited 34,244 participants aged 18 years or older. Measurements: Calculated age-sex standardized CMM prevalence. Cox proportional hazards models were used to assess the associations between CMM statuses/trajectories and mortality risk. Results: From 2007 to 2018, the prevalence of CMM increased significantly from 4.31 to 8.75% in Guangdong Province, China ( Limitation: Single-province sample; self-report bias. Conclusion: CMM represents a major public health challenge in Guangdong Province, China. Our findings provide new insights on the CMM progression, which may be helpful for prevention and clinical management of CMM.

Indexed as

Cardiovascular DiseasesMetabolic DiseasesMortalityMultimorbidityAdultAgedCardiometabolic Risk FactorsChinaChronic DiseaseCohort StudiesFemaleHumansMaleMiddle AgedPrevalenceProportional Hazards Modelscardiometabolic multimorbiditychornic diseasecohort studydisease trajectoriesmortality

Identifiers

PMID42494901
PMCPMC13391277

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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.