Evidence map›Paper›PMID 34038457›Full record

ArticlePloS one2021

Ten-years cardiovascular risk among Bangladeshi population using non-laboratory-based risk chart of the World Health Organization: Findings from a nationally representative survey.

Abu Abdullah Mohammad Hanif, Mehedi Hasan, Md Showkat Ali Khan, Md Mokbul Hossain, Abu Ahmed Shamim, Moyazzam Hossaine, Mohammad Aman Ullah, Samir Kanti Sarker, S M Mustafizur Rahman, Md Mofijul Islam Bulbul and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Abu Abdullah Mohammad HanifCentre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.ORCID 0000-0001-6274-5612
Mehedi HasanCentre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.ORCID 0000-0003-2153-4979
Md Showkat Ali KhanCentre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Md Mokbul HossainCentre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Abu Ahmed ShamimCentre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Moyazzam HossaineCentre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Mohammad Aman UllahNational Nutrition Services (NNS), Institute of Public Health Nutrition (IPHN), Dhaka, Bangladesh.
Samir Kanti SarkerNational Nutrition Services (NNS), Institute of Public Health Nutrition (IPHN), Dhaka, Bangladesh.
S M Mustafizur RahmanNational Nutrition Services (NNS), Institute of Public Health Nutrition (IPHN), Dhaka, Bangladesh.
Md Mofijul Islam BulbulNational Nutrition Services (NNS), Institute of Public Health Nutrition (IPHN), Dhaka, Bangladesh.
Dipak Kumar MitraNorth-South University, Dhaka, Bangladesh.
Malay Kanti MridhaCentre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
BRAC University · BDNational Institute of Cardiovascular Diseases · BDNorth South University · BD

Funding

Wellcome TrustWellcome Trust 212945/Z/18/Z
6 · The paper itself

Abstract

The World Health Organization (WHO) has recently developed a non-laboratory based cardiovascular disease (CVD) risk chart considering the parameters age, sex, current smoking status, systolic blood pressure, and body mass index. Using the chart, we estimated the 10-years CVD risk among the Bangladeshi population aged 40-74 years. We analyzed data from a nationally representative survey conducted in 2018-19. The survey enrolled participants from 82 clusters (57 rural, 15 non-slum urban, and 10 slums) selected by multistage cluster sampling. Using the non-laboratory-based CVD risk chart of the World Health Organization (WHO), we categorized the participants into 5 risk groups: very low (<5%), low (5% to <10%), moderate (10% to <20%), high (20% to <30%) and very high (> = 30%) risk. We performed descriptive analyses to report the distribution of CVD risk and carried out univariable and multivariable logistic regression to identify factors associated with elevated CVD risk (> = 10% CVD risk). Of the 7,381 participants, 46.0% were female. The median age (IQR) was 59.0 (48.0-64.7) years. Overall, the prevalence of very low, low, moderate, high, and very high CVD risk was 34.7%, 37.8%, 25.9%, 1.6%, and 0.1%, respectively. Elevated CVD risk (> = 10%) was associated with poor education, currently unmarried, insufficient physical inactivity, smokeless tobacco use, and self-reported diabetes in both sexes, higher household income, and higher sedentary time among males, and slum-dwelling and non-Muslim religions among females. One in every four Bangladeshi adults had elevated levels of CVD risk, and males are at higher risk of occurring CVD events. Non-laboratory-based risk prediction charts can be effectively used in low resource settings. The government of Bangladesh and other developing countries should train the primary health care workers on the use of WHO non-laboratory-based CVD risk charts, especially in settings where laboratory tests are not available.

Indexed as

Heart Disease Risk FactorsAdultAgedBangladeshBody Mass IndexCardiovascular DiseasesDiabetes MellitusEthnicityFemaleHumansHypertensionMaleMiddle AgedRisk AssessmentRisk FactorsRural Population

Identifiers

PMID34038457
PMCPMC8153482
OpenAlexW3165628433

What Socratic holds

Textmetadata
LicenceCC BY
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.