Evidence map›Paper›PMID 40399813›Full record

ArticleBMC cardiovascular disorders2025

Trends in the global, regional, and national burden of cardiovascular diseases attributed to high systolic blood pressure from 1990 to 2021 and projections to 2045: a systematic analysis based on GBD 2021 data.

Tenglong Hu, Xinyue Yang, Yanyan Du, Yangyu Zhao, Lei Chen, Na Sun, Qiang Sun, Wenyan Liang, Xiqing Wei, Zhiqiang Zhang

Abstract 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. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Tenglong Hu *Department of Cardiology, Affiliated Hospital of Jining Medical University, Clinical Medical College, Jining Medical University, Jining, Shandong, 272000, China.
Xinyue Yang *Graduate School of Tianjin Medical University, Tianjin Medical University, Tianjin, 300070, China.
Yanyan Du *Department of Cardiology, Affiliated Hospital of Jining Medical University, Clinical Medical College, Jining Medical University, Jining, Shandong, 272000, China.
Yangyu ZhaoDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Clinical Medical College, Jining Medical University, Jining, Shandong, 272000, China.
Lei ChenDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350004, China.
Na SunDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Clinical Medical College, Jining Medical University, Jining, Shandong, 272000, China.
Qiang SunDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Clinical Medical College, Jining Medical University, Jining, Shandong, 272000, China.
Wenyan LiangDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Clinical Medical College, Jining Medical University, Jining, Shandong, 272000, China.
Xiqing WeiDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Clinical Medical College, Jining Medical University, Jining, Shandong, 272000, China. weixiqing512@163.com.
Zhiqiang ZhangDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Clinical Medical College, Jining Medical University, Jining, Shandong, 272000, China. zzq23478@tmu.edu.cn.

Funding

This work was supported by the Shandong Province Traditional Chinese Medicine Science & Technology Project No. Z2023116
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) remains the leading cause of death and disability worldwide, and high systolic blood pressure (HSBP) is considered among its most critical modifiable risk factors. This study analyzed the temporal trends of the global burden of CVD attributed to HSBP from 1990 to 2021, examined its relationships with age, period, and birth cohort, and projected future trends to 2045.

methodsThe study employed a joinpoint regression model to evaluate the temporal trends of CVD burden attributed to HSBP from 1990 to 2021 and used an Age-Period-Cohort (APC) model to analyze the effects of age, period, and cohort. Additionally, a Bayesian Age-Period-Cohort (BAPC) model was applied to project the disease burden trends up to 2045.

resultsFrom 1990 to 2021, the absolute number of deaths and DALYs (disability-adjusted life years) of CVD attributed to HSBP increased significantly. However, the age-standardized mortality rate (ASMR) and age-standardized DALY rate (ASDR) showed a consistent declining trend. The study highlights significant regional differences, with the disease burden increasing most markedly in regions with a middle Socio-Demographic Index (SDI) and decreasing most significantly in high SDI regions. Additionally, the study revealed gender differences, with the decline in ASMR and ASDR was more pronounced in females, while males exhibited a higher overall disease burden than females. Projections from the BAPC model indicate that from 2022 to 2045, the absolute number of deaths and DALYs will continue to rise, while ASMR and ASDR will decline further.

conclusionsThis study conducted a comprehensive analysis of CVD attributed to HSBP globally, highlighting significant sex, age, and regional differences in disease burden as well as their temporal trends. The findings underscore the importance of targeted prevention strategies, particularly for high-risk populations. This study provides valuable insights for policymakers to formulate effective interventions to reduce the global disease burden.

Indexed as

Blood PressureCardiovascular DiseasesGlobal HealthHypertensionAdultAgedAge DistributionAge FactorsDisability-Adjusted Life YearsFemaleForecastingGlobal Burden of DiseaseHumansMaleMiddle AgedRisk AssessmentAge-period-cohort analysisCardiovascular diseaseGlobal burdenHigh systolic blood pressureProjection

Identifiers

PMID40399813
PMCPMC12096714

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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.