Evidence map›Paper›PMID 41657619›Full record

ArticleBioinformation2025

Retrospective analysis of digital health technology effectiveness in cardiac rehabilitation.

Vignesh Krishna Hariharan, Vishnu Poovathinkal Rajan, Sorabh Sharma, Shanmukha Koppolu, Shruthi Alekere Eshu, Nutheti Pavani

Abstract read
In one paragraph

Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Vignesh Krishna HariharanDepartment of General Medicine, East Bourne District General Hospital, East Sussex NHS trust, Somerset, United Kingdom.
Vishnu Poovathinkal RajanDepartment of General Medicine, ESIC Hospital, Udyogamandal, Ernakulam, Kerala, India.
Sorabh SharmaDepartment of Medicine, University of Arizona, Arizona, USA.
Shanmukha KoppoluDepartment of Trauma and Orthopaedics, Barts NHS Trust, London, England, United Kingdom.
Shruthi Alekere EshuDepartment of Medicine, Mandya Institute of Medical Science, Karnataka, India.
Nutheti PavaniDepartment of General Medicine, Madras Medical College, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health technologies have enhanced cardiac rehabilitation by enabling remote monitoring, personalized feedback and increased patient engagement. This retrospective study analyzed four years of medical records from patients using digital platforms, wearables and teleconsultations. Those using digital tools showed higher adherence, better functional gains and improved risk factor control than those in traditional care. Remote monitoring allowed for earlier detection of clinical changes and timely treatment adjustments, reducing hospital readmissions. Data highlight digital health's potential to expand access and improve long-term outcomes in cardiac care.

Indexed as

Cardiac rehabilitationcardiovascular risk reductiondigital health technologiespatient adherenceremote monitoringtelemedicinewearable devices

Identifiers

PMID41657619
PMCPMC12880143

What OpenQuestion holds

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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 OpenQuestion graph.