Evidence map›Paper›PMID 36313150›Full record

ArticleEClinicalMedicine2022

Predicted heart age profile across 41 countries: A cross-sectional study of nationally representative surveys in six world regions.

Wilmer Cristobal Guzman-Vilca, Gustavo A Quispe-Villegas, Rodrigo M Carrillo-Larco

Abstract read
In one paragraph

Article in EClinicalMedicine, 2022. 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

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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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  7. Child Marriage and Cardiovascular Risk: An Application of the Non-laboratory Framingham Risk Score.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024
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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

3 authors.

Wilmer Cristobal Guzman-VilcaSchool of Medicine "Alberto Hurtado", Universidad Peruana Cayetano Heredia, Lima, Peru.
Gustavo A Quispe-VillegasSchool of Medicine "Alberto Hurtado", Universidad Peruana Cayetano Heredia, Lima, Peru.
Rodrigo M Carrillo-LarcoCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Predicted heart age (PHA) can simplify communicating the absolute cardiovascular disease (CVD) risk. Few studies have characterized PHA across multiple populations, and none has described whether people with excess PHA are eligible for preventive treatment for CVD. Methods: Pooled analysis of 41 World Health Organization (WHO) STEPS surveys conducted in 41 countries in six world regions between 2013 and 2019. PHA was calculated as per the non-laboratory Framingham risk score in adults without history of CVD. We described the differences between chronological age and PHA, the distribution of PHA, and the proportion of people with excess PHA that were eligible for antihypertensive and lipid-lowering treatment following the WHO guidelines. Logistic regression models were fitted to assess sociodemographic and health-related variables associated with PHA excess. Findings: 94,655 individuals aged 30-74 years were included. 36% of those aged 30-34 years had a PHA of 30-34 years; 9% of those aged 60-64 years had a PHA of 60-64 years. Countries in Africa had the lowest prevalence of very high PHA (i.e., PHA exceeding chronological age in ≥5 years) and countries in Western Pacific had the highest. ≥50% of the population with PHA excess (i.e., PHA exceeding chronological age in ≥1 year) was not eligible for antihypertensive nor lipid-lowering treatment. Abdominal obesity, high total cholesterol, smoking and having diabetes were associated with higher odds of having PHA excess, whereas higher education and employment were inversely associated with excess PHA. Interpretation: PHA is generally higher than chronological age in LMICs and there are regional disparities. Most people with excess PHA would not be eligible to receive preventive medication. Funding: RMC-L is supported by a Wellcome Trust International Training Fellowship (214185/Z/18/Z).

Indexed as

AdultsCardiovascular diseasesDeveloping countriesRisk assessment

Identifiers

PMID36313150
PMCPMC9596311

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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.