Evidence map›Paper›PMID 39327574›Full record

ArticleBMC cardiovascular disorders2024

Incidence and risk factors associated with atrioventricular block in the general population: the atherosclerosis risk in communities study and Cardiovascular Health Study.

Jingwei Zhang, Jia Liu, Min Ye, Ming Zhang, Fengjuan Yao, Yunjiu Cheng

Abstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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  7. Left Ventricular Ejection Fraction and Incident Cardiac Conduction Dysfunction: Exploring the Mediating Effects of Electrophysiological Parameters.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
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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

6 authors.

Jingwei Zhang *Department of Medical Ultrasonics, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Jia Liu *Department of Medical Ultrasonics, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Min Ye *Department of Medical Ultrasonics, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Ming ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Fengjuan YaoDepartment of Medical Ultrasonics, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China. yaofj@mail.sysu.edu.cn.
Yunjiu ChengDepartment of Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. cheng831011@sina.com.

Funding

Fundamental Research Funds for the Central Universities in Sun Yat-Sen University 18ykpy08National Natural Scientific Foundation of China 81600260Natural Science Foundation of Guangdong Province 2016A030313210project of Kelin new star of the First Affiliated Hospital of Sun Yat-Sen University Y50186Science and Technology Planning Project of Guangdong Province 2017A020215174
6 · The paper itself

Abstract

objectivesTo identify risk factors correlated with atrioventricular block (AVB) in the general population.

methodsParticipants in the Atherosclerosis Risk in Communities study (ARIC) and the Cardiovascular Health study (CHS) were enrolled. The presence of AVB was confirmed at an electrocardiogram (ECG) reading center using Minnesota ECG Classification. Cox proportional hazards models were performed to investigate potential risk factors of AVB, after adjustment for age, sex, race and traditional cardiovascular risk factors.

resultsDuring the 17 years of follow-up, a total of 731 high-degree AVB cases were identified. Age and sex-standardized rate of AVB was 2.79 and 2.35 per 1000 person-years in the white and the black population, respectively. With the increase of the geriatric population, the incidence of high-degree AVB will increase from 378,816 in 2020 to 535,076 in 2060, and most increment would occur among the elderly. Older age, male sex, the white race, overweight, comorbidities, declined forced vital capacity (FVC), elevated inflammation biomarkers, left bundle branch block and bifascicular block were independently associated with the incidence of high-degree AVB.

conclusionTo conclude, older age, male sex, white population, overweight, combined diabetes or chronic kidney disease, impaired FVC, elevated inflammation biomarkers, left bundle branch block and bifascicular block were independent predictors for high-degree AVB. The next 40 years would witness a dramatic increase in the incidence of high-degree AVB.

Indexed as

Atrioventricular BlockHeart Disease Risk FactorsAgedAged, 80 and overAge FactorsBlack or African AmericanComorbidityElectrocardiographyFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsAtrioventricular blockOlder ageRisk factors

Identifiers

PMID39327574
PMCPMC11428875

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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.