Evidence map›Paper›PMID 39987359›Full record

ArticleCommunications medicine2025

Application of decision analytic modelling to cardiovascular disease prevention in Sub-Saharan Africa: a systematic review.

James Odhiambo Oguta, Penny Breeze, Elvis Wambiya, Peter Kibe, Catherine Akoth, Peter Otieno, Peter J Dodd

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

7 authors.

James Odhiambo OgutaSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, Sheffield, UK. mcogutajamo@gmail.com.ORCID http://orcid.org/0000-0002-2401-9895
Penny BreezeSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, Sheffield, UK.
Elvis WambiyaSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, Sheffield, UK.
Peter KibeAfrican Population and Health Research Center (APHRC), Nairobi, Kenya.
Catherine AkothSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, Sheffield, UK.
Peter OtienoAfrican Population and Health Research Center (APHRC), Nairobi, Kenya.
Peter J DoddSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, Sheffield, UK.ORCID http://orcid.org/0000-0001-5825-9347

Funding

Wellcome TrustWellcome Trust (Wellcome) 218462/Z/19/Z
6 · The paper itself

Abstract

backgroundThis systematic review sought to examine the application of decision analytic models (DAMs) to evaluate cardiovascular disease (CVD) prevention interventions in sub-Saharan Africa (SSA), a region that has experienced an increasing CVD burden in the last two decades.

methodsWe searched seven databases and identified model-based economic evaluations of interventions targeting CVD prevention among adult populations in SSA. All articles were screened by two reviewers, data was extracted, and narrative synthesis was performed. Quality assessment was performed using the Philips checklist.

resultsThe review included 27 articles from eight SSA countries. The majority of the studies evaluated interventions for primary CVD prevention, with primordial prevention interventions being the least evaluated. Markov models were the most commonly used modelling method. Seven studies incorporated equity dimensions in the modelling, which were assessed mainly through subgroup analysis. The mean quality score of the papers was 68.9% and most studies reported data challenges while only three studies conducted model validation.

conclusionsThe review finds few studies modelling the impact of interventions targeting primordial prevention and those evaluating equitable strategies for improving access to CVD prevention. There is a need for increased transparency in model building, validation and documentation.

Identifiers

PMID39987359
PMCPMC11847006

What Socratic holds

Textmetadata
LicenceCC BY
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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.