Evidence map›Paper›PMID 42798055›Full record

ArticleMedicine2026

Patterns and trends in atrial fibrillation and atrial flutter incidence rates in G20 countries (1990-2021) and predictions to 2050.

Minjie Yuan, Miao Ye, Chen Li, Yana Zhao, Haina Chen, Tan Lyu

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Minjie YuanDepartment of Electrocardiogram, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Miao Ye
Chen Li
Yana Zhao
Haina Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-term trend in atrial fibrillation (AF) and atrial flutter (AFL) incidence has rarely been reported from a global perspective. We aimed to explore the past temporal trends (1990-2021) in AF/AFL incidence in group of 20 countries and to predict future trends (2022-2050). Data on yearly AF/AFL incidence by age group and sex were extracted from the global burden of disease study 2021. Age-standardized incidence rates (ASIR) were computed from 1990 to 2021. The number of new cases and incidence rates were predicted to 2050 using the Bayesian age-period-cohort model. The ASIR for AF/AFL exhibited a slight increasing trend on a global scale from 1990 to 2021, with an average annual percent change of 0.5% (95% confidence interval: 0.5-0.5). Canada had the highest ASIR of AF/AFL (97.53/100,000) and showed a significant declining trend from 1990 to 2021, while the USA and Germany showed a clear upward trend and a "wave-like" upward trend, respectively. Notably, Italy experienced a significant increase in the ASIR of AF/AFL during the COVID-19 pandemic (2019-2021), with an annual percent change of 9.3% (95% confidence interval: 6.6-12.0). The ASIR of AF/AFL in developing countries increased more significantly than in developed countries (ASIR change percentage: 4.79% vs 0.20%). The ASIR of AF/AFL is predicted to remain stable or increase in most countries by 2050. AF/AFL remains a significant public health concern, necessitating the development of more precise strategies for prevention, control, and surveillance, particularly among specific populations and endemic countries.

Indexed as

Atrial FibrillationAtrial FlutterAgedBayes TheoremFemaleForecastingGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle Agedatrial fibrillation/atrial flutterepidemiologyglobal burden of diseasepredictiontrends

Identifiers

PMID42798055
PMCPMC13619252

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.