Evidence map›Paper›PMID 37366875›Full record

ArticleDiseases (Basel, Switzerland)2023

Prediction of the Prevalence of Hypertension and Associated Risk Factors in Rwanda Using Gibbs Sampling Method.

Angélique Dukunde, Jean Marie Ntaganda, Juma Kasozi, Joseph Nzabanita

Abstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2023. 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. Article
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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

4 authors.

Angélique DukundeAfrican Center of Excellence in Data Science-Biostatistics, College of Business and Economics, University of Rwanda, Kigali P.O. Box 4285, Rwanda.
Jean Marie NtagandaDepartment of Mathematics, College of Science and Technology, University of Rwanda, KN 67 Street, Nyarugenge P.O. Box 3900, Rwanda.ORCID 0000-0003-2464-2377
Juma KasoziDepartment of Mathematics, College of Natural Science, Makerere University, Kampala P.O. Box 7062, Uganda.ORCID 0000-0002-0941-9604
Joseph NzabanitaDepartment of Mathematics, College of Science and Technology, University of Rwanda, KN 67 Street, Nyarugenge P.O. Box 3900, Rwanda.ORCID 0000-0003-2973-9258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Rwanda, the prevalence of hypertension was 15.3% in 2015. At present, there are no accurate predictions of the prevalence of hypertension and its trend over time in Rwanda to assist decision makers in making plans for prevention and more effective interventions. This study used the Gibbs sampling method in combination with the Markov Chain Monte Carlo approach to predict the prevalence of hypertension and its associated risk factors in Rwanda over a period of ten years. The data were from World Health Organization (WHO) reports. The findings showed that the prevalence of hypertension is estimated to reach 17.82% in 2025, with tobacco use, being overweight or obese, and other risk factors having a respective prevalence of 26.26%, 17.13%, 4.80%, and 33.99%, which shows the increase and, therefore, measures for prevention to be taken. Therefore, to prevent and reduce the prevalence of this disease, the government of Rwanda should take appropriate measures to promote a balanced diet and physical exercise.

Indexed as

Gibbs sampling methodhypertensionMarkov Chain Monte Carlonon-communicable diseaseprediction

Identifiers

PMID37366875
PMCPMC10297058

What OpenQuestion holds

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Registered trials

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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.