Evidence mapPaperPMID 41005433Full record

SynthesisJournal of advanced research2026

Global, regional, and national burden of cardiovascular diseases among postmenopausal women, 1990-2040: a systematic analysis for the global burden of disease study 2021.

Shuangfei Xu, Jia Shang, Shaoqiang Yang, Delong Li, Ejuan Zhang, Fang Lei, Meng-Liu Zeng, Lijin Lin

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

8 authors.

Shuangfei XuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China & The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Jia ShangDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Shaoqiang YangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China & The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Delong LiPhysical Examination Center, Renmin Hospital of Wuhan University, Wuhan, China.
Ejuan ZhangMedical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fang LeiMedical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Meng-Liu ZengMedical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China. Electronic address: zengmengliu@whu.edu.cn.
Lijin LinDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China & The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China. Electronic address: linlijin@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide. In postmenopausal women, physiological changes and hormonal transitions accelerate cardiovascular risk, yet global, sex-specific evidence for this group remains limited. Understanding their burden is essential to address biological vulnerabilities and structural inequities. AIM OF REVIEW: This review provides the first comprehensive global, regional, and national assessment of CVD burden among women aged ≥ 55 years from 1990 to 2021 and projects trends to 2040. It synthesizes epidemiological patterns, socio-demographic disparities, and major modifiable risk factors, with the goal of informing gender-sensitive and equity-oriented cardiovascular prevention and policy strategies. KEY SCIENTIFIC CONCEPTS OF REVIEW: Data were obtained from the Global Burden of Disease (GBD) Study 2021, encompassing 204 countries and territories. Incidence, prevalence, mortality, and disability-adjusted life years were analyzed using age-standardized rates. Temporal trends were quantified with estimated annual percentage changes , and decomposition analysis identified demographic (population growth, aging) and epidemiological contributions. Inequalities were evaluated using slope and concentration indices across socio-demographic index (SDI) levels. Bayesian age-period-cohort models were applied to forecast CVD burden through 2040. Key findings indicate that although age-standardized incidence and mortality rates declined globally, absolute CVD cases and deaths nearly doubled due to demographic expansion. Disparities widened: high-SDI regions achieved the steepest reductions, while low-SDI regions showed slower progress or worsening trends. Ischemic heart disease and stroke remained the dominant contributors, endocarditis was the fastest-rising subtype, and high systolic blood pressure consistently emerged as the leading modifiable risk factor. Collectively, these findings highlight a growing and uneven burden of CVD in postmenopausal women. Strengthened hypertension control, integrated prevention strategies, and investment in primary healthcare-particularly in low-SDI settings-are urgently needed. This review provides a woman-centered evidence base to support equitable cardiovascular health policy and resource allocation.

Indexed as

Cardiovascular DiseasesGlobal Burden of DiseasePostmenopauseAgedDisability-Adjusted Life YearsFemaleGlobal HealthHumansIncidenceMiddle AgedPrevalenceRisk FactorsCardiovascular diseasesDisability-adjusted life years (DALYs)Global Burden of DiseaseHealth inequalitiesIncidenceMortalityPostmenopausal women

Identifiers

PMID41005433
PMCPMC13227170

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.