Evidence map›Paper›PMID 41691255›Full record

ArticleRespiratory research2026

Association between cardiovascular-kidney-metabolic syndrome and chronic obstructive pulmonary disease: a cross-national analysis from global, US, and Chinese populations.

Qinghua Fan, Fengzhen Zhang, Hongyan Wang, Yi Guo, Zhongjian Liu, Xiaolin Xu, Jingping Yang, Ping Yuan, Haibo Wang

Abstract read
In one paragraph

Article in Respiratory research, 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. Review
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.

Qinghua Fan *Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, 100191, China.
Fengzhen Zhang *Inner Mongolia Baogang Hospital, The Third Affiliated Hospital of Inner Mongolia Medical University, Baotou, 014010, China.
Hongyan WangInner Mongolia Baogang Hospital, The Third Affiliated Hospital of Inner Mongolia Medical University, Baotou, 014010, China.
Yi GuoPeking University First Hospital, Peking University, Beijing, 100191, China.
Zhongjian LiuPeking University First Hospital, Peking University, Beijing, 100191, China.
Xiaolin XuPeking University First Hospital, Peking University, Beijing, 100191, China.
Jingping YangInner Mongolia Baogang Hospital, The Third Affiliated Hospital of Inner Mongolia Medical University, Baotou, 014010, China.
Ping YuanGeneral Technology Group Healthcare Holding Co, Ltd, Beijing, 100073, China. yuanping_632@163.com.
Haibo WangClinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, 100191, China. wanghb_pucri@bjmu.edu.cn.

Funding

the General Technology Group Major S&T Special Project GTZD-2024-001
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) increasingly demonstrates metabolic underpinnings in its pathogenesis. The newly defined cardiovascular-kidney-metabolic (CKM) syndrome represents an integrative clinical entity, yet its relationship with COPD remains inadequately investigated.

methodsWe analyzed data from the Global Burden of Disease (GBD) study 2021, the US National Health and Nutrition Examination Survey (NHANES), and the China Health and Retirement Longitudinal Study (CHARLS). CKM stages (0–4) were classified through American Heart Association criteria. In NHANES, COPD was determined through post-bronchodilator spirometry in 2011–2012 and self-reported physician diagnosis in 2013–2020; in CHARLS, COPD was identified through self-reported physician diagnosis. Weighted multinomial logistic regression assessed CKM-COPD associations with adjustment for sociodemographic factors, lifestyle behaviors, and anthropometric measures. Multiple-mediator analyses explored inflammatory and protein pathways.

resultsGlobal COPD incidence and prevalence were 197 (95% uncertainty interval [UI] 181–213) and 2512 (95% [UI] 2293–2748) per 100,000 population. Meta-analysis of 18,918 participants from four cohorts demonstrated significant dose–response relationships between CKM stages and COPD. Compared to stage 0, advanced stages (2–4) showed progressively higher odds of chronic obstructive pulmonary disease: stage 2 (odds ratio [OR] 1.34, 95% confidence interval [CI] 1.02–1.76), stage 3 (OR 1.47, 95% CI 1.10–1.98), and stage 4 (OR 2.92, 95% CI 2.22–3.83, p-trend < 0.001). These associations remained consistent across both spirometry-defined and physician-reported chronic obstructive pulmonary disease definitions. Subgroup analyses revealed stronger associations in younger adults aged 20–45 years, females, and current smokers. Mediation analyses in the US cohort identified albumin as the strongest mediator (7.5%, p < 0.001), followed by white blood cell count (6.2%, p < 0.001), systemic immune-inflammatory index (5.6%, p < 0.001), neutrophil to monocyte ratio (4.3%, p < 0.001), and high-sensitivity C-reactive protein (3.8%, p < 0.001). The mediating role of high-sensitivity C-reactive protein was validated in the Chinese cohort.

conclusionsCKM syndrome demonstrates robust dose–response associations with COPD across diverse populations and diagnostic methods. These relationships appear to be partially mediated by inflammatory and protein markers. Our findings support integrated cardiometabolic-respiratory assessment and suggest promising strategies for COPD prevention, with special clinical relevance for younger adults, females, and smokers.

Indexed as

Cardio-Renal SyndromeCardiovascular DiseasesInternationalityMetabolic SyndromePulmonary Disease, Chronic ObstructiveAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedNutrition SurveysPrevalenceCardiovascular-kidney-metabolic syndromeChronic obstructive pulmonary diseaseInflammationMediation analysisMeta-analysis

Identifiers

PMID41691255
PMCPMC13049756

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.