Evidence map›Paper›PMID 40486456›Full record

ReviewCureus2025

Role of Mobile Health and Wearable Devices in Cardiovascular Disease Prevention: A Comprehensive Review.

Owais M Ahmad, Ruba Ibrahim, Daniella I Odunsi, Mahdi Mohammed, Bobby George Mathew, Mohamed Touny, Bhupinder S Grewal, Shubham Bhanot, Neeraj Bodapati, George Pandarakalam Thomas and 3 more

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Women's cardiovascular health in 2025:Saudi medical journal · 2026
    Review
  4. Article
  5. Article
  6. Review
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

13 authors.

Owais M AhmadInternal Medicine, Charles University, Hradec Kralove, CZE.
Ruba IbrahimMedicine and Surgery, University of Medical Sciences and Technology (UMST), Khartoum, SDN.
Daniella I OdunsiInternal Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, GBR.
Mahdi MohammedSchool of Medicine, University College Dublin, Dublin, IRL.
Bobby George MathewAnaesthesia, Chris Hani Baragwanath Academic Hospital, Johannesburg, ZAF.
Mohamed TounyCardiology, National Heart Institute, Giza, EGY.
Bhupinder S GrewalCardiovascular Service Line, Morristown Medical Center, Morristown, USA.
Shubham BhanotAcute Medicine, Cumberland Infirmary, Carlisle, GBR.
Neeraj BodapatiInternal Medicine, Alluri Sitarama Raju Academy of Medical Sciences, Eluru, IND.
George Pandarakalam ThomasInternal Medicine, Dorset County Hospital, Dorchester, GBR.
Shreyas NvGeneral Medicine, Shirdi Sai Hospital, Bengaluru, IND.
Lalain MasoodDermatology, Bahria University Medical and Dental College, Karachi, PAK.
Zoya MoraniFamily Medicine, Washington University of Health and Science, San Pedro, BLZ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is a leading cause of death worldwide. A key area of interest in CVD prevention is novel digital health technologies, primarily mobile health (mHealth) applications and wearable devices, that are rapidly transforming the methods of preventing and managing CVD. Studies have shown the success of smartphone applications, such as the RITMIA app (Heart Sentinel™, Parma, Italy), in successfully detecting atrial fibrillation (Afib) compared to a classic 12-lead electrocardiogram (ECG). mHealth devices should integrate these factors, based on artificial intelligence (AI) and driven by chatbots, to encourage patients to use technology through interactive, real-world, motivational, and timely feedback. Data from mHealth clinical research indicate improved medication adherence, weight control, and self-care among patients. This review highlights mHealth and wearable devices in CVD prevention, providing foresight into cardiovascular health conditions through continuous monitoring, early detection, and improved patient engagement. Additionally, it examines challenges, including ethical, regulatory, and accessibility issues, that need to be addressed before their widespread adoption. In the future, the priority must be integration with healthcare systems and equitable access. A thorough search was conducted using reputable databases such as Scopus, PubMed, and Google Scholar. Articles from 2015 to 2025, along with an article from 2002 published in reputable peer-reviewed journals, were analyzed and contextually used. We also refined our search terms and used high-quality English articles to achieve this.

Indexed as

artificial intelligence (ai)cardiovascular disease (cvd)cardiovascular disease preventioncvsmobile health (mhealth)smartphonessmartwatcheswearable technology

Identifiers

PMID40486456
PMCPMC12143862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.