Evidence map›Paper›PMID 40618031›Full record

ArticleBMC cardiovascular disorders2025

Global burden of atrial fibrillation and atrial flutter due to high alcohol use from 1990 to 2021: estimates from the global burden of disease study 2021.

Xiaoming Wang, Changzheng Chen, Zhihua Yang, Yu Chen, Jun Fan, Renchun Tang, Yankun Shi, Lixia Yang

Erratum issuedAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Development and validation of a prediction model for ischemic stroke recurrence risk in patients with ischemic stroke and atrial fibrillation.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  2. Observational
  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xiaoming WangDepartment of Cardiovascular Medicine, 920th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Kunming, Yunnan, China.ORCID 0009-0002-9860-332X
Changzheng ChenDepartment of Cardiovascular Medicine, 920th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Kunming, Yunnan, China.
Zhihua YangDepartment of Cardiovascular Medicine, 920th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Kunming, Yunnan, China.
Yu ChenDepartment of Cardiovascular Medicine, 920th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Kunming, Yunnan, China.
Jun FanDepartment of Cardiovascular Medicine, 920th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Kunming, Yunnan, China.
Renchun TangDepartment of Cardiovascular Medicine, 920th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Kunming, Yunnan, China.
Yankun ShiDepartment of Cardiovascular Medicine, 920th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Kunming, Yunnan, China. 1103511591@qq.com.
Lixia YangDepartment of Cardiovascular Medicine, 920th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Kunming, Yunnan, China. doctorylixia@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study comprehensively examines the global burden of atrial fibrillation and atrial flutter (AF/AFL) attributable to high alcohol use from 1990 to 2021, analyzing temporal trends, regional disparities, and sociodemographic determinants using data from the Global Burden of Disease Study 2021 (GBD 2021).

methodsWe extracted GBD 2021 estimates on deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) for AF/AFL due to high alcohol use across 204 countries. Joinpoint analysis and age-period-cohort (APC) modeling were employed to assess temporal trends and disentangle age, period, and cohort effects.

resultsIn 2021, AF/AFL attributable to high alcohol use contributed to 11,908 deaths (95% UI: 8,860, 14,981) and 362,698 DALYs (95% UI: 263,321, 465,594) globally, marking increases of 176.4% and 132.9%, respectively, since 1990. While age-standardized death rates (ASDR) remained stable (0.2 per 100,000), males bore 2.3-fold higher mortality and 3.7-fold greater DALYs than females. Western Europe had the highest burden (4,589 deaths; 109,934 DALYs), while Oceania reported the lowest (2 deaths; 68 DALYs). High Socio-Demographic Index (SDI) regions exhibited the largest absolute burden, yet low-middle SDI regions experienced the steepest ASDR growth (estimated annual percentage change (EAPC) of ASDR is 2.01%). APC models revealed diverging sex-specific trends: male mortality marginally increased (net drift = 0.091%/year) versus significant female declines (-0.925%/year). The mortality rates are notably elevated in the age groups of 30-39 and those over 75 years, with the highest peak observed in individuals aged 95 and above.

conclusionAF/AFL attributable to high alcohol use remains a critical public health challenge, disproportionately affecting males, high-SDI regions, and aging populations. Targeted interventions addressing alcohol consumption patterns, gender-specific risk mitigation, and healthcare disparities are urgently needed to reduce the growing burden, particularly in regions with accelerating trends.

Indexed as

Alcohol DrinkingAtrial FibrillationAtrial FlutterAdultAgedAged, 80 and overAge DistributionAge FactorsDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseGlobal HealthHumansMaleMiddle AgedPrognosisAge-period-cohort modelAtrial fibrillationGlobal burden of diseaseHigh alcohol useJoinpoint analysis

Identifiers

PMID40618031
PMCPMC12228268

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.