Evidence map›Paper›PMID 40592307›Full record

ArticleCardiorenal medicine2025

Associations of Cardiovascular-Kidney-Metabolic Syndrome with Premature Mortality and Life Expectancies in US Adults: A Cohort Study.

Lubi Lei, Jingkuo Li, Wenbo Ding, Wei Wang, Yanwu Yu, Boxuan Pu, Yue Peng, Lihua Zhang, Yuanlin Guo

Abstract read
In one paragraph

Article in Cardiorenal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Review
  6. Article
  7. Modern Management of CKM Syndrome: Use of GLP-1 Receptor Agonists in a Multidisciplinary Setting-Expert Group Recommendations from Kuwait.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  8. Article
  9. Observational
  10. Review
  11. Article
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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

9 authors.

Lubi LeiNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jingkuo LiNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, lijingkuo@fuwai.com.
Wenbo DingNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wei WangCenter for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Yanwu YuNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Boxuan PuNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yue PengNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lihua ZhangNational Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuanlin GuoCardio-Metabolic Medicine Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe American Heart Association has recently updated the Cardiovascular-Kidney-Metabolic (CKM) Health Advisory, proposing a new framework for defining, staging, and predicting CKM risk. However, the prevalence and adverse effects of the CKM stages remain insufficiently characterized.

methodsWe analyzed data from the National Health and Nutrition Examination Survey (NHANES) (1999-2018), including 18,350 US adults aged 20-79 years. CKM syndrome encompasses subclinical or clinical cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic risk factors. The participants were categorized into 4 CKM stages based on their clinical severity. We assessed associations of CKM stages with mortality risk and life expectancy.

resultsOnly 12.9% of participants were classified as having CKM stage 0. The prevalence of CKM stages 1, 2, 3, and 4 was 23.1%, 53.6%, 3.6%, and 6.7%, respectively. Compared with CKM stage 0, individuals in stage 4 had a markedly higher risk of all-cause mortality (HR: 4.30, 95% CI: 2.95-6.26) and lost 15.5 (12.5-19.8) years of life at age 50 years. Sex and racial/ethnic disparities were also observed.

conclusionsA higher CKM stage was strongly associated with increased mortality and reduced life expectancy. Our findings underscore the urgent need for enhanced CKM health management, social support, and policy intervention.

Indexed as

Cardio-Renal SyndromeCardiovascular DiseasesLife ExpectancyMetabolic SyndromeMortality, PrematureRenal Insufficiency, ChronicAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsCardiovascular risk factorMetabolicMortalityMultimorbidity

Identifiers

PMID40592307
PMCPMC12215152

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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.