Evidence map›Paper›PMID 33009975›Full record

ReviewCurrent atherosclerosis reports2020

Digital Health Innovations to Improve Cardiovascular Disease Care.

Karla Santo, Julie Redfern

Open access · bronzeAbstract readReview
In one paragraph

Review in Current atherosclerosis reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  14. Journal of the American Heart Association · 2024
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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 at 2 institutions in 2 countries.

Karla SantoAcademic Research Organization, Hospital Israelita Albert Einstein, Av. Albert Einstein 627, Bloco A, 2o subsolo, São Paulo, SP, CEP 05652-900, Brazil. karla.santo@einstein.br.ORCID 0000-0001-9047-8865
Julie RedfernWestmead Applied Research Centre, Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Hospital Israelita Albert Einstein · BRThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo review the current evidence supporting the use of digital health technologies in cardiovascular disease (CVD) care. RECENT

findingsStudies have evaluated the impact of the use of digital health technologies to improve CVD outcomes through several modalities: text-messaging programmes, smartphone applications (apps) and wearable devices. Text-messaging programmes are to date the most studied type of digital health interventions, and studies have demonstrated reduced CVD risk and improved medication adherence. Literature supporting the use of smartphone apps is also growing but remains limited, with some studies favouring the use of health apps but others showing negative results. Wearable devices are the latest type of technology investigated, and studies have shown positive outcomes in terms of physical activity and detection of arrhythmias. Digital health is a growing and evolving area of investigation. To date, the scientific evidence overall supports the use of such technologies in CVD care and management. Future research using new models are needed to continue to evaluate these new technologies.

Indexed as

Mobile ApplicationsText MessagingWearable Electronic DevicesAdultAgedCardiovascular DiseasesExerciseFemaleHumansMaleMedication AdherenceMiddle AgedRisk FactorsSmartphoneSmokingTelemedicineCardiovascular diseaseDigital HealthDigital technologyeHealthmHealth

Identifiers

PMID33009975
PMCPMC7532121
OpenAlexW3090434059

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.