Evidence map›Paper›PMID 38829488›Full record

ArticleJournal of epidemiology and global health2024

Achievement of Guideline-Recommended Targets for Secondary Prevention of Cardiovascular Disease in 38 Low-Income and Middle-Income Countries.

Zhiguang Liu, Minghai Yan, Lap Ah Tse, Yingxuan Zhu, Xinyue Lang, Xin Liu, Yang Lin, Bo Hu

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Zhiguang LiuClinical Trial Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Minghai YanMedical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Lap Ah TseJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Yingxuan ZhuMedical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Xinyue LangMedical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Xin LiuMedical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Yang LinClinical Trial Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. linyang3623@163.com.
Bo HuMedical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China. hubo@mrbc-nccd.com.

Funding

National Center for Cardiovascular Diseases, ThinkTank Research Center for Health Development, and the National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences 2022-GSP-PT-10
6 · The paper itself

Abstract

backgroundThis study aimed to estimate the prevalence of achieving the secondary prevention targets recommended in the World Health Organization (WHO) guidelines for cardiovascular disease (CVD) in 38 low-income and middle-income countries (LMICs).

methodsWe pooled nationally representative cross-sectional surveys from 38 LMICs between 2013 and 2020. Treatment, metabolic and lifestyle targets were assessed for individuals with a self-reported history of CVD according to WHO's recommendations. Associations between the prevalence of guideline adherence and sociodemographic characteristics were assessed using multivariate Poisson regression models.

resultsThe pooled sample included 126 106 participants, of whom 9821 (6.8% [95% CI 6.4-7.2]) reported a history of CVD. Overall, the prevalence of achieving treatment targets in patients with CVD was 22.7% (95% CI, 21.0-24.5%) for antihypertensive drugs, 19.6% (17.9-21.4%) for aspirin, and 13.6% (12.0-15.44%) for statins. The prevalence of achieving metabolic targets was 54.9% (52.5-57.3%) for BMI, 39.9% (37.7-42.2%) for blood pressure, 46.1% (43.6-48.6%) for total cholesterol, and 84.9% (83.1-86.5%) for fasting blood glucose. The prevalence of achieving lifestyle targets was 83.2% (81.5-84.7%) for not smoking, 83.1% (81.2-84.9%) for not drinking, 65.5% (63.1-67.7%) for sufficient physical activity and 16.2% (14.5-18.0%) for healthy diet. Only 6.1% (5.1-7.4%) achieved three treatment targets, 16.0% (14.3-17.9%) achieved four metabolic targets, and 6.9% (5.8-8.0%) achieved four lifestyle targets. Upper-middle income countries were better than low-income countries at achieving the treatment, non-drinking and dietary targets. Being younger and female were associated with poorer achievement of metabolic targets.

conclusionIn LMICs, achieving the targets recommended in the guideline for treatment, metabolism and healthy lifestyles for patients with CVD is notably low. This highlights an urgent need for effective, systematic secondary prevention strategies to improve CVD management.

Indexed as

Cardiovascular DiseasesDeveloping CountriesSecondary PreventionAdultAgedCross-Sectional StudiesFemaleGuideline AdherenceHumansLife StyleMaleMiddle AgedPractice Guidelines as TopicWorld Health OrganizationCardiovascular diseaseGlobal healthLow-income and middle-income countriesSecondary prevention

Identifiers

PMID38829488
PMCPMC11444037

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Registered trials

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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.