Evidence mapPaperPMID 39894471Full record

ReviewJournal of atherosclerosis and thrombosis2025

Digital Health Interventions for Atherosclerotic Cardiovascular Disease: The Current Impact and Future Directions for Prevention and Management.

Chinatsu Komiyama, Masanari Kuwabara, Ayako Harima, Takayoshi Kanie, Tetsuo Yamaguchi, Takahide Kodama

Abstract readReview
In one paragraph

Review in Journal of atherosclerosis and thrombosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Chinatsu KomiyamaDepartment of Cardiology, Toranomon Hospital.
Masanari KuwabaraDepartment of Cardiology, Toranomon Hospital.
Ayako HarimaDepartment of Cardiology, Toranomon Hospital.
Takayoshi KanieDepartment of Cardiology, St. Luke's International Hospital.
Tetsuo YamaguchiDepartment of Cardiology, Toranomon Hospital.
Takahide KodamaDepartment of Cardiology, Toranomon Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerotic cardiovascular disease (ASCVD) remains a leading cause of morbidity and mortality worldwide, including in Japan, where the aging population intensifies its impact. This review evaluated the potential impact of digital healthcare on the prevention and management of ASCVD, covering both primary and secondary prevention strategies. Digital health tools, such as risk assessment applications remote monitoring, lifestyle modification support, and remote rehabilitation, have shown promise in improving patient engagement, adherence, and outcomes. However, while digital health interventions demonstrate significant benefits, challenges persist, including interoperability issues, privacy concerns, low digital literacy among older adults, and limited health insurance coverage for digital interventions. Through an analysis of recent advancements and case studies, this review demonstrates the need for user-centered design, enhanced regulatory frameworks, and expanded insurance support to facilitate the effective integration of digital health in ASCVD care. Furthermore, emerging technologies such as personalized healthcare modules offer promising directions for tailored and impactful care. Addressing these barriers is critical to unleashing the full potential of digital healthcare to reduce the burden of ASCVD and enhance patient outcomes.

Indexed as

AtherosclerosisCardiovascular DiseasesTelemedicineDigital HealthDisease ManagementHumansAtherosclerotic cardiovascular disease (ASCVD)Digital healthHealthcarePrimary preventionSecondary prevention

Identifiers

PMID39894471
PMCPMC11973520

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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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 Socratic graph.