Evidence map›Paper›PMID 39240493›Full record

ReviewCurrent atherosclerosis reports2024

Health Data Sciences and Cardiovascular Disease in Africa: Needs and the Way Forward.

Maha Inam, Sana Sheikh, Adeel Khoja, Amina Abubakar, Reena Shah, Zainab Samad, Anthony Ngugi, Farhana Alarakhiya, Akbar Waljee, Salim S Virani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2024. 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. Advancing Interventional Cardiology in Sub-Saharan Africa: The Role of Artificial Intelligence.Journal of the Society for Cardiovascular Angiography & Interventions · 2026
    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

10 authors.

Maha InamOffice of the Vice Provost, Research, Aga Khan University, Karachi, Pakistan.
Sana SheikhDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Adeel KhojaDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Amina AbubakarInstitute for Human Development, Aga Khan University, Nairobi, Kenya.
Reena ShahDepartment of Medicine, Aga Khan University, Nairobi, Kenya.
Zainab SamadDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Anthony NgugiDepartment of Population Health, Aga Khan University, Nairobi, Kenya.
Farhana AlarakhiyaChief Data Innovation Officer, Aga Khan University, Nairobi, Kenya.
Akbar WaljeeDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, USA.
Salim S ViraniOffice of the Vice Provost, Research, Aga Khan University, Karachi, Pakistan. salim.virani@aku.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe rising burden of cardiovascular disease (CVD) in Africa is of great concern. Health data sciences is a rapidly developing field which has the potential to improve health outcomes, especially in low-middle income countries with burdened healthcare systems. We aim to explore the current CVD landscape in Africa, highlighting the importance of health data sciences in the region and identifying potential opportunities for application and growth by leveraging health data sciences to improve CVD outcomes. RECENT

findingsWhile there have been a number of initiatives aimed at developing health data sciences in Africa over the recent decades, the progress and growth are still in their early stages. Its maximum potential can be leveraged through adequate funding, advanced training programs, focused resource allocation, encouraging bidirectional international partnerships, instituting best ethical practices, and prioritizing data science health research in the region. The findings of this review explore the current landscape of CVD and highlight the potential benefits and utility of health data sciences to address CVD challenges in Africa. By understanding and overcoming the barriers associated with health data sciences training, research, and application in the region, focused initiatives can be developed to promote research and development. These efforts will allow policymakers to form informed, evidence-based frameworks for the prevention and management of CVDs, and ultimately result in improved CVD outcomes in the region.

Indexed as

Cardiovascular DiseasesAfricaData ScienceHumansbig datacardiovascular diseasehealthcare researchhealth data scienceslow-middle income countries

Identifiers

PMID39240493

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.