Evidence map›Paper›PMID 41418041›Full record

ArticleJMIR public health and surveillance2025

Stroke Prevalence and Risk Factors in Rural Communities Within a Resource-Constrained South Asian Setting: Population-Based Study of 1.3 Million Individuals.

Farhana Sarker, Rony Chowdhury Ripan, Moinul H Chowdhury, Akm Nazmul Islam, Mashiar Rahman, Shariful Islam, Shumit Saha, Khondaker A Mamun

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. 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. Article
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.

Farhana SarkerDepartment of Computer Science and Engineering, Independent University Bangladesh (IUB), Dhaka, Bangladesh.ORCID 0000-0002-3962-6065
Rony Chowdhury RipanCMED Health (A Digital Health inclusion initiatives for UHC), Dhaka, Bangladesh.ORCID 0009-0003-1890-6409
Moinul H ChowdhuryCMED Health (A Digital Health inclusion initiatives for UHC), Dhaka, Bangladesh.ORCID 0000-0003-1102-2988
Akm Nazmul IslamCMED Health (A Digital Health inclusion initiatives for UHC), Dhaka, Bangladesh.ORCID 0000-0001-8636-0856
Mashiar RahmanPalli Karma-Sahayak Foundation, Dhaka, Bangladesh.ORCID 0009-0005-3612-4632
Shariful IslamDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.ORCID 0000-0001-7926-9368
Shumit Saha *School of Applied Computational Sciences, Meharry Medical College, Nashville, TN, United States.ORCID 0000-0003-2650-084X
Khondaker A Mamun *CMED Health (A Digital Health inclusion initiatives for UHC), Dhaka, Bangladesh.ORCID 0000-0003-0243-8324

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke is a leading cause of death and long-term disability worldwide, with an estimated 6.2 million deaths each year. In Bangladesh, data on stroke prevalence and risk factors in rural areas are limited, making it difficult to develop effective early prevention and intervention programs. Objective: This study aimed (1) to present the prevalence of stroke in a rural community in Bangladesh and (2) to identify and associate various stroke risk factors. Methods: Data collection was done by community health workers, as a part of the "Enriched Sastho" program of the Palli Karma Sahayak Foundation, Bangladesh. Community health workers received 2 weeks of training to ensure data quality. The presence of stroke was determined by a binary survey question, with a history of stroke=1 and absence=0. The prevalence of stroke per 1000 people was examined along with the 95% CI. In addition, the association of stroke risk predictors was calculated using multivariate logistic regression and presented in crude odds ratio (OR) and adjusted OR along with 95% CI. Results: The study analyzed data from 1,341,589 individuals, with an average (SD) age of 29.23 (19.05) years. The overall stroke prevalence was found to be 1.07 per 1000 people, with a higher prevalence in male participants and increasing with age. The highest stroke prevalence was observed in the Khulna division (OR 1.881, 95% CI 1.671-2.117), and the least in the Rangpur division (OR 0.677, 95% CI 0.576-0.795). Individuals aged 65-79 years were at a higher risk of having a stroke than other age groups (crude OR 9.883 and adjusted OR 9.728 [adjusted for sex]). In addition, male participants were at greater risk of having a stroke than female participants were (crude OR 1.565 and adjusted OR 1.469 [adjusted for age]). Conclusions: The study emphasizes the need for early prevention and intervention programs for stroke in rural Bangladesh and the importance of managing hypertension and diabetes to reduce stroke risk.

Indexed as

Rural PopulationStrokeAdolescentAdultAgedBangladeshFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsBangladeshcommunity health workersdiabeteshealth workershypertensionprevalencerisk factorrural areasstrokesurvey

Identifiers

PMID41418041
PMCPMC12716629

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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.