Evidence map›Paper›PMID 39240492›Full record

ReviewCurrent atherosclerosis reports2024

Health Data Sciences and Cardiovascular Diseases in South Asia: Innovations and Challenges in Digital Health.

Kartik Gupta, Vashma Junaid, Muhammad Ahmad Qureshi, Abhishek Gupta, Sana Sheikh, Mayank Dalakoti, Salim S Virani, Adeel Khoja

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Kartik GuptaDivision of Cardiovascular Diseases, Henry Ford Hospital, Detroit, MI, USA.
Vashma JunaidDepartment of Medicine, The Aga Khan University, Karachi, 74800, Pakistan.
Muhammad Ahmad QureshiDepartment of Medicine, Henry Ford Allegiance Hospital, Jackson, MI, USA.
Abhishek GuptaSamhita Collective Good Foundation, Mumbai, India.
Sana SheikhDepartment of Medicine, The Aga Khan University, Karachi, 74800, Pakistan.
Mayank DalakotiDepartment of Cardiology, National University Heart Centre, Singapore, Singapore.
Salim S ViraniDepartment of Medicine, The Aga Khan University, Karachi, 74800, Pakistan.
Adeel KhojaDepartment of Medicine, The Aga Khan University, Karachi, 74800, Pakistan. adeel.khoja@aku.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewHealth data sciences can help mitigate high burden of cardiovascular disease (CVD) management in South Asia by increasing availability and affordability of healthcare services. This review explores the current landscape, challenges, and strategies for leveraging digital health technologies to improve CVD outcomes in the region. RECENT

findingsSeveral South Asian countries are implementing national digital health strategies that aim to provide unique health account numbers for patients, creating longitudinal digital health records while others aim to digitize healthcare services and improve health outcomes. Significant challenges impede progress, including lack of interoperability, inadequate training of healthcare workers, cultural barriers, and data privacy concerns. Leveraging digital health for CVD management involves using big data for early detection, employing artificial intelligence for diagnostics, and integrating multiomics data for health insights. Addressing these challenges through policy frameworks, capacity building, and international cooperation is crucial for improving CVD outcomes in region.

Indexed as

Cardiovascular DiseasesAsiaAsia, SouthernBig DataData ScienceDigital HealthHumansTelemedicineCardiovascular diseaseDigital healthElectronic medical recordsHealth data sciencesSouth Asia

Identifiers

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.