Evidence map›Paper›PMID 42539938›Full record

ReviewDigital health

Digital cardiology: A state-of-the-art review of wearable device applications for diagnosis, monitoring, and management of cardiovascular diseases.

Qian Yang, Tao Zhang

Abstract readReview
In one paragraph

Review in Digital health. 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

2 authors.

Qian YangDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0009-0009-2444-3600
Tao ZhangDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Wearable devices are increasingly used in cardiovascular medicine, but their clinical applications, evidentiary basis, and implementation challenges require comprehensive assessment. Methods: We conducted a narrative review by searching PubMed, EMBASE, and the Cochrane Library for articles published since 2020. Potentially relevant papers were screened and compared for relevance, followed by independent assessment for inclusion. The focus is on devices with direct clinical relevance and available human studies. Results and Conclusions: Wearable devices show promise for arrhythmia detection (particularly atrial fibrillation), blood pressure monitoring, heart failure management, and cardiac rehabilitation. Commercial devices like smartwatches have demonstrated utility in large-scale studies, while emerging technologies like smart textiles and implantable sensors offer future potential. Key challenges include validation against gold-standard methods, integration into clinical workflows, data privacy concerns, and ensuring health equity. For successful implementation, future efforts should focus on robust clinical trials, regulatory clarity, interoperability standards, and clinician education. Wearable technologies are poised to transform cardiovascular care through continuous, personalized monitoring, but require multidisciplinary collaboration to realize their full clinical potential.

Indexed as

Artificial Intelligenceatrial fibrillationcardiovascular diseasesdigital healthwearable devices

Identifiers

PMID42539938
PMCPMC13424760

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.