Evidence map›Paper›PMID 27102020›Full record

ArticleGlobal heart2016

Prevalence of Pragmatically Defined High CV Risk and its Correlates in LMIC: A Report From 10 LMIC Areas in Africa, Asia, and South America.

Rodrigo M Carrillo-Larco, J Jaime Miranda, Xian Li, Chendi Cui, Xiaolin Xu, Mohammed Ali, Dewan S Alam, Thomas A Gaziano, Rajeev Gupta, Vilma Irazola and 8 more

Abstract read
In one paragraph

Article in Global heart, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
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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

18 authors.

Rodrigo M Carrillo-LarcoCRONICAS Center of Excellence for Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
J Jaime MirandaCRONICAS Center of Excellence for Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine, School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
Xian LiThe George Institute for Global Health at Peking University Health Science Center, Haidian District, Beijing, China.
Chendi CuiDepartment of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Xiaolin XuGlobal Heath Research Center, Duke Kunshan University, Kunshan, Jiangsu Province, China.
Mohammed AliCentre for Chronic Disease Control, Gurgaon, Haryana, India.
Dewan S AlamCentre for Control of Chronic Diseases, International Centre for Diarrheal Disease Research, Bangladesh, Mohakhali, Dhaka, Bangladesh.
Thomas A GazianoBrigham and Women's Hospital, Harvard School of Public Health, Harvard University, Cambridge, MA, USA; Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Rajeev GuptaFortis Escorts Hospital, Jaipur, India; Academic and Research Unit, Rajasthan University of Health Sciences, Jaipur, India.
Vilma IrazolaCentro de Excelencia en Salud Cardiovascular para el Cono Sur, Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
Naomi S LevittChronic Disease Initiative for Africa, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Division of Diabetic Medicine and Endocrinology, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Dorairaj PrabhakaranCentre for Chronic Disease Control, Gurgaon, Haryana, India; Public Health Foundation of India, Gurgaon, Haryana, India.
Adolfo RubinsteinCentro de Excelencia en Salud Cardiovascular para el Cono Sur, Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
Krisela SteynChronic Disease Initiative for Africa, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Nikhil TandonCentre for Chronic Disease Control, Gurgaon, Haryana, India.
Denis XavierSt. John's Medical College and Research Institute, Koramangala Post, Bangalore, India.
Yangfeng WuThe George Institute for Global Health at Peking University Health Science Center, Haidian District, Beijing, China; Peking University School of Public Health and Clinical Research Institute, Haidian District, Beijing, China. Electronic address: ywu@george.org.cn.
Lijing L YanThe George Institute for Global Health at Peking University Health Science Center, Haidian District, Beijing, China; Global Heath Research Center, Duke Kunshan University, Kunshan, Jiangsu Province, China. Electronic address: lijing.yan@duke.edu.

Funding

NHLBI NIH HHS HHSN268200900025CNHLBI NIH HHS HHSN268200900026CNHLBI NIH HHS HHSN268200900027CNHLBI NIH HHS HHSN268200900029CNHLBI NIH HHS HHSN268200900033C
6 · The paper itself

Abstract

backgroundCurrently available tools for assessing high cardiovascular risk (HCR) often require measurements not available in resource-limited settings in low- and middle-income countries (LMIC). There is a need to assess HCR using a pragmatic evidence-based approach.

objectivesThis study sought to report the prevalence of HCR in 10 LMIC areas in Africa, Asia, and South America and to investigate the profiles and correlates of HCR.

methodsCross-sectional analysis using data from the National Heart, Lung, and Blood Institute-UnitedHealth Group Centers of Excellence. HCR was defined as history of heart disease/heart attack, history of stroke, older age (≥50 years for men and ≥60 for women) with history of diabetes, or older age with systolic blood pressure ≥160 mm Hg. Prevalence estimates were standardized to the World Health Organization's World Standard Population.

resultsA total of 37,067 subjects ages ≥35 years were included; 53.7% were women and mean age was 53.5 ± 12.1 years. The overall age-standardized prevalence of HCR was 15.4% (95% confidence interval: 15.0% to 15.7%), ranging from 8.3% (India, Bangalore) to 23.4% (Bangladesh). Among men, the prevalence was 1.7% for the younger age group (35 to 49 years) and 29.1% for the older group (≥50); among women, 3.8% for the younger group (35 to 59 years) and 40.7% for the older group (≥60). Among the older group, measured systolic blood pressure ≥160 mm Hg (with or without other conditions) was the most common criterion for having HCR, followed by diabetes. The proportion of having met more than 1 criterion was nearly 20%. Age, education, and body mass index were significantly associated with HCR. Cross-site differences existed and were attenuated after adjusting for age, sex, education, smoking, and body mass index.

conclusionsThe prevalence of HCR in 10 LMIC areas was generally high. This study provides a starting point to define targeted populations that may benefit from interventions combining both primary and secondary prevention strategies.

Indexed as

Developing CountriesAdultAfricaAgedAged, 80 and overAge FactorsAsiaBody Mass IndexCardiovascular DiseasesCross-Sectional StudiesDiabetes MellitusEducational StatusFemaleHeart DiseasesHumansHypertension

Identifiers

PMID27102020
PMCPMC4843819

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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.