Evidence mapPaperPMID 41323509Full record

ArticleAmerican heart journal plus : cardiology research and practice2025

Global trends and inequalities in hypertensive and ischemic heart disease attributable to high body mass index: A systematic analysis from 1990 to 2021 with projections to 2035.

Xinyu Liu, Xu Zhang, Cheng Li

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2025. 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

3 authors.

Xinyu LiuSchool of Basic Medical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Xu ZhangDepartment of Cardiovascular Surgery, the Second Hospital of Jilin University, Changchun, Jilin, China.
Cheng LiDepartment of Cardiovascular Center, the First Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertensive heart disease (HHD) and ischemic heart disease (IHD) are major global burdens. High body mass index (BMI) is a key modifiable risk factor, but the global burden, trends, and inequalities of HHD and IHD attributable to high BMI remain poorly defined. Methods: We analyzed Global Burden of Disease data from 1990 to 2021 across 204 countries, estimating age-standardized mortality rates (ASMRs), disability-adjusted life-year rates (ASDRs), and annual average percentage changes (AAPCs). Additional analyses included age- and sex-specific distributions, socio-demographic index (SDI) patterns, frontier and decomposition analyses, inequality metrics, and projections to 2035 using Bayesian age-period-cohort and ARIMA models. Results: From 1990 to 2021, global ASMR and ASDR for HHD attributable to high BMI slightly increased (AAPC: 0.014 and 0.099), whereas those for IHD declined (AAPC: -0.067 and -0.751). The highest HHD burden occurred in Southern Sub-Saharan Africa, and the greatest IHD burden in Eastern Europe. Elderly females had higher HHD mortality and DALYs, while middle-aged males bore greater IHD burden. HHD inversely correlated with SDI ( Conclusions: HHD and IHD attributable to high BMI show divergent global trends and inequality patterns, underscoring the urgent need for targeted weight management and cardiovascular risk reduction, particularly in low- and middle-SDI regions.

Indexed as

Global burden of diseaseHealth inequalitiesHigh BMIHypertensive heart diseaseIschemic heart disease

Identifiers

PMID41323509
PMCPMC12661457

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.