Evidence map›Paper›PMID 42299356›Full record

ArticleInternational journal of women's health2026

Global, Regional, and Future Predictions of Cardiovascular Disease Burden Among Women of Childbearing Age: A Systematic Analysis of the Global Burden of Disease Study 1990-2021.

Yuan Fang, Zhaochen Sun, Nan Wang, Hao Li, Ping Sun, Hao Liu, Yan Chen, Juan Jiang, Yunli Ye, Ling Zhu and 1 more

Abstract read
In one paragraph

Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

11 authors.

Yuan Fang *The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, 510006, People's Republic of China.
Zhaochen Sun *Department of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Nan Wang *School of Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Hao LiDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, Regenerative Medicine Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Ping SunDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Hao LiuDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Yan ChenDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Juan JiangDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Yunli YeSchool of Public Health, Southwest Medical University, Luzhou, People's Republic of China.
Ling ZhuDepartment of Gynecology, First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Zhengwei WanDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) continues to be the leading cause of death among women of childbearing age (WCBA) worldwide. An updated, geographically detailed assessment of CVD and its subtype burdens in this population is warranted. Material and Methods: This study utilized the data from GBD 2021 to assess the incidence and mortality of CVD among WCBA across 231 countries and regions from 1990 to 2021. Age-standardised rates (ASRs) and estimated annual percentage changes (EAPCs) were used to assess trends in disease burden from 1990 to 2021. Sociodemographic-index (SDI)-associated disparities were explored using smoothed regression and correlation analysis. Predictions to 2050 were performed using Bayesian age-period-cohort (BAPC) modeling to support forward-looking public health planning. Results: From 1990 to 2021, incident cases and deaths of CVD among WCBA increased from 2.77 million and 0.38 million to 4.49 million and 0.42 million, respectively, despite modest declines in ASR of incidence (ASIR, EAPC: -0.08%) and mortality (ASMR, EAPC: -1.59%). In 2021, ischemic heart disease (IHD) has the highest ASIR (67.53 per 100,000) and ASMR (8.64 per 100,000), and showed the fastest increase in ASIR over time. Marked sociodemographic disparities were observed, with low-SDI regions consistently experiencing higher ASIR (276.61 per 100,000) and ASMR (28.59 per 100,000) of CVD in 2021. Decomposition analysis indicated that population growth was the primary driver of the global increase in both CVD cases and mortality, while population ageing played a greater role in higher-SDI regions, with epidemiological changes partially offsetting mortality increases. Predictions suggest that while ASIR will continue to rise, ASMR is expected to further decline. Conclusion: The global burden of CVD among WCBA remains substantial, with rising incidence in key subtypes such as IHD and persistent disparities across SDI regions, underscoring the need for targeted, subtype-specific prevention strategies and strengthened healthcare systems in high-burden settings.

Indexed as

cardiovascular diseaseglobal burden of diseaseincidencemortalitywomen of childbearing age

Identifiers

PMID42299356
PMCPMC13264983

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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.