Evidence map›Paper›PMID 39301596›Full record

ArticleJournal of global health2024

Achievement of recommended targets for cardiovascular disease prevention in adults with diabetes in 38 low- and middle-income countries.

Yang Li, Minghai Yan, Qiujing Cai, Lap Ah Tse, Zhiguang Liu, Xinyue Lang, Biyan Wang, Qiuyan Ma, Mengya Li, Qi Qiu and 1 more

Abstract read
In one paragraph

Article in Journal of global health, 2024. 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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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.

Yang Li *Interventional Centre of Valvular Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Minghai Yan *Medical Research and Biometrics Centre, National Clinical Research Centre for Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qiujing CaiMedical Research and Biometrics Centre, National Clinical Research Centre for Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lap Ah TseJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China.
Zhiguang LiuClinical Trial Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xinyue LangMedical Research and Biometrics Centre, National Clinical Research Centre for Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Biyan WangMedical Research and Biometrics Centre, National Clinical Research Centre for Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qiuyan MaMedical Research and Biometrics Centre, National Clinical Research Centre for Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Mengya LiMedical Research and Biometrics Centre, National Clinical Research Centre for Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qi QiuClinical Trial Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Wei LiMedical Research and Biometrics Centre, National Clinical Research Centre for Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Implementation of guideline recommendations for cardiovascular disease (CVD) prevention in people with diabetes in low- and middle-income countries (LMICs) is unclear. We assessed the achievement of CVD prevention targets among patients with diabetes in LMICs. Methods: We pooled nationally representative cross-sectional surveys from 38 LMICs. We evaluated three targets according to the World Health Organization's (WHO) recommendations: treatment (glucose-lowering drugs, statins, antihypertensive drugs, and aspirin); metabolism (blood glucose, body mass index, blood pressure, and cholesterol); and lifestyle (non-smoking, non-drinking, physical activity, and diet). We used multivariable Poisson regression models to assess sociodemographic factors influencing adherence to guideline recommendations. Results: The study included 110 083 participants, of whom 6789 (6.0%) had self-reported diabetes. The prevalence of achieving the treatment, metabolic and lifestyle targets for all components were 9.9%, 8.1%, and 7.2%, respectively. The components with the lowest prevalence of the three targets were 11.1% for statin use, 27.3% for body mass index control, and 19.5% for sufficient consumption of fruit and vegetables, respectively. Upper-middle-income countries were better at achieving the treatment, non-drinking, and dietary targets than lower-middle-income countries. Women, middle-aged and older patients, and highly educated patients had a lower prevalence of metabolic adherence. Conclusions: In LMICs, the prevalence of patients with diabetes meeting WHO-recommended treatment, metabolic and lifestyle targets for CVD prevention was low. Our findings highlighted the need to strengthen the prevention of CVD in patients with diabetes in LMICs.

Indexed as

Cardiovascular DiseasesDeveloping CountriesDiabetes MellitusAdultAgedCross-Sectional StudiesFemaleGuideline AdherenceHumansMaleMiddle AgedPractice Guidelines as Topic

Identifiers

PMID39301596
PMCPMC11413614

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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.