Evidence map›Paper›PMID 40498431›Full record

ArticleJACC. Asia2025

Prevalence and Mortality of Cardiovascular-Kidney-Metabolic Syndrome in China: A Nationwide Population-Based Study.

Congyi Zheng, Anping Cai, Muyi Sun, Xin Wang, Qingjie Song, Xuyan Pei, Xue Cao, Yixin Tian, Gregory Y H Lip, Gianfranco Parati and 3 more

Abstract read
In one paragraph

Article in JACC. Asia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

13 authors.

Congyi ZhengDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Anping CaiDepartment of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong Province, China.
Muyi SunSchool of Public Health, Bengbu Medical University, Bengbu, Anhui Province, China.
Xin WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Qingjie SongDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu Province, China.
Xuyan PeiDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Xue CaoDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Yixin TianDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Gregory Y H LipLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Medical University of Bialystok, Bialystok, Poland.
Gianfranco ParatiDepartment of Cardiology, IRCCS, Ospedale San Luca, Istituto Auxologico Italiano, Milan, Italy; Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Zengwu WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China. Electronic address: wangzengwu@foxmail.com.
Yingqing FengDepartment of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong Province, China. Electronic address: fengyingqing@gdph.org.cn.
Zhen ZhouSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular-kidney-metabolic (CKM) syndrome is a novel staging framework used to evaluate CKM health. The burden of CKM syndrome in China is relatively unknown, and such data may inform future health priority.

objectivesThe purpose of this study was to assess the prevalence and mortality risk across CKM stages.

methodsNationally representative populations (n = 33,685) were included from the China Hypertension Survey. The weighted prevalence of each CKM stage was calculated. All-cause, cardiovascular (CV), and non-CV death associated with CKM stages were analyzed using Cox regression analysis. Population attributable fraction (PAF) was calculated to estimate the mortality burden related to each CKM stage.

resultsBetween 2012 and 2015, 18.8% of Chinese adults met criteria for stage 0, 15.5% for stage 1, 42.1% for stage 2, 14.7% for stage 3, and 8.9% for stage 4, with advanced stage (stages 3-4) was 23.6%. After 5-year follow-up, compared with stage 0, adjusted HR for all-cause death in stage 1 was 0.77 (95% CI: 0.51-1.15), stage 2 was 1.36 (95% CI: 1.04-1.77), stage 3 was 2.47 (95% CI: 1.91-3.19), and stage 4 was 4.00 (95% CI: 3.07-5.22). Similarly, adjusted HRs for CV death and non-CV death progressively increased from stage 2 to 4 (both P-trend values < 0.001). For all-cause, CV, and non-CV death, PAFs increased with advancing CKM stages. For instance, for all-cause death, PAFs caused by stages 2, 3, and 4 were 13.4%, 18.6%, and 22.0%.

conclusionsPoor CKM health is widespread in China, underscoring the urgent need for collaborative and comprehensive management strategies to tackle CKM syndrome epidemic.

Indexed as

cardiovascular diseasechronic kidney diseasemetabolic syndromemortalityprevalence

Identifiers

PMID40498431
PMCPMC12277190

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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 OpenQuestion graph.