Evidence map›Paper›PMID 40307689›Full record

Observational studyBMC cardiovascular disorders2025

Association between cardiometabolic comorbidity and mortality in patients with atrial fibrillation.

Zhaojie Dong, Chao Jiang, Liu He, Mingyang Gao, Ribo Tang, Nian Liu, Ning Zhou, Caihua Sang, Deyong Long, Xin Du and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Zhaojie DongDepartment of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Chao JiangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Liu HeDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Mingyang GaoDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Ribo TangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Nian LiuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Ning ZhouDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Caihua SangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China. sch9613070@sina.com.
Deyong LongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Xin DuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Jianzeng DongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China.
Changsheng MaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, No.2 Beijing Anzhen Road, Chaoyang District, Beijing, 100029, People's Republic of China. chshma@vip.sina.com.

Funding

Beijing Hospitals Authority Yangfan Program No. ZLRK202315the National Key Research and Development Program of China 2022YFC3601303
6 · The paper itself

Abstract

backgroundPatients with atrial fibrillation (AF) often suffer from cardiometabolic comorbidities, but the impact of the type and number of cardiometabolic comorbidities on the prognosis of AF patients remain unclear.

methodsFrom August 2011 to December 2018, 23,838 AF patients from the Chinese Atrial Fibrillation Registry (China-AF) Study were enrolled in this study. The all-cause and cardiovascular-cause mortality was described. The Cox proportional hazard model was employed to explore the associations of the type and number of cardiometabolic comorbidities with all-cause and cardiovascular-cause mortality.

resultsDuring an average follow-up of 4.07 ± 1.96 years, 2,140 (8.98%) deaths were identified. The mortality in AF patients with cardiometabolic conditions was significantly higher than that in AF patients without cardiometabolic conditions. Cardiovascular events contributed the most to the death of AF patients, particularly heart failure. AF complicated with heart failure was associated with the highest risk of all-cause mortality [hazard ratio (HR) 1.92, 95% confidence interval (CI) 1.74-2.13], followed by thromboembolism, diabetes mellitus, and vascular diseases. Whereas, the presence of co-morbid hypertension did not have a significant association with all-cause mortality (HR 0.97, 95%CI 0.86-1.09). The adjusted HRs for all-cause mortality in AF patients were 1.21 (95%CI 0.99-1.47), 1.71 (95%CI 1.40-2.08), 2.55 (95%CI 2.07-3.13), and 3.39 (95%CI 2.71-4.24) for 1, 2, 3, and ≥ 4 cardiometabolic comorbidities, respectively.

conclusionThe increase in the number of cardiometabolic comorbidities is associated with mortality in AF patients. Hence, strengthening the management of cardiometabolic comorbidities is critical to reducing the mortality of patients with AF.

trial registrationURL: http://www.chictr.org.cn/showproj.aspx?proj=5831 . REGISTRATION NUMBER: ChiCTR-OCH-13003729. Date of the registration is October 22, 2013.

Indexed as

Atrial FibrillationCardiometabolic Risk FactorsAgedCause of DeathChinaComorbidityDiabetes MellitusFemaleHumansMaleMiddle AgedPrognosisRegistriesRisk AssessmentRisk FactorsTime FactorsAtrial fibrillationCardiometabolicMortalityMultimorbidity

Identifiers

PMID40307689
PMCPMC12044800

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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.