Evidence map›Paper›PMID 40057583›Full record

ArticleScientific reports2025

Sex-specific trends in the global burden and risk factors of atrial fibrillation and flutter from 1990 to 2021.

Xiaodong Peng, Jue Wang, Chen Tang, Liu He, Jiangtao Li, Shijun Xia, Xiangyi Kong, Ning Zhou, Deyong Long, Caihua Sang and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Xiaodong Peng *Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Jue Wang *Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Chen Tang *Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.
Liu HeDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Jiangtao LiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Shijun XiaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Xiangyi KongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China. xiangyikong@163.com.
Ning ZhouDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Deyong LongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Caihua SangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Xin DuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Jianzeng DongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Changsheng MaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2, Anzhen Road, Chaoyang District, Beijing, 100029, China. chshma@vip.sina.com.

Funding

the National Key Research and Development Program of China 2022YFC3601300
6 · The paper itself

Abstract

Significant sex disparities exist in the burden of atrial fibrillation and flutter. However, comprehensive and systematic analysis of its global trend by sex is scarce. The Global Burden of Disease Study 2021 was used as data source for analysis. Sex-specific prevalence, incidence, disability-adjusted life years (DALY), and mortality rates per 100,000 population from atrial fibrillation and flutter were estimated using the Bayesian meta-regression method. Temporal trends of average annual percent change (AAPC) of age-standardized and age-specific burdens across age bands were evaluated using the joinpoint model stratified by socio-demographic index (SDI). Sex differences in trends were tested using pairwise comparison. From 1990 to 2021, the global age-standardized DALY rate [from 109.93 (95% uncertainty interval, 88.5 to 134.72) to 112.05 (93.3 to 135.28), P < 0.001], age-standardized mortality rate [from 4.20 (3.65 to 4.59) to 4.44 (3.94 to 4.81), P < 0.001] for atrial fibrillation and flutter significantly increased in males, while the age-standardized incidence rate decreased from 58.0 (44.98 to 75.8) to 57.11 (46.19 to 72.14) in males (P < 0.001). Countries with low and low-middle SDI exhibited significant increases in age-standardized prevalence and incidence rates in both females and males (all P < 0.001), with a faster increase in females. Across all age bands, a faster increase in mortality was observed among males, while females under age bands of 50 years showed a higher increase in prevalence and incidence on a global scale compared to males. High systolic blood pressure was the predominant risk factor contributing to atrial fibrillation and flutter-related DALY. Notably, the impact of high body-mass index on DALY of atrial fibrillation and flutter was increasing fast over last three decades, especially in males. Although the global burden of atrial fibrillation and flutter has substantially increased, disparities exist across different sexes, age bands, and countries with different socio-demographic status.

Indexed as

Atrial FibrillationAtrial FlutterAdolescentAdultAgedAged, 80 and overDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsAtrial fibrillationAtrial flutterEpidemiologyGlobal burden of diseaseRisk factors

Identifiers

PMID40057583
PMCPMC11890608

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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.