Evidence map›Paper›PMID 25801714›Full record

ReviewNature reviews. Cardiology2015

The mobile revolution--using smartphone apps to prevent cardiovascular disease.

Lis Neubeck, Nicole Lowres, Emelia J Benjamin, S Ben Freedman, Genevieve Coorey, Julie Redfern

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 7 pooled it
–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

95 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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35 more citing papers are in PubMed but not listed here.

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.

Lis NeubeckSydney Nursing School, Level 2, Building D17, Charles Perkins Centre, University of Sydney, Camperdown, Sydney, NSW 2006, Australia.
Nicole LowresSydney Medical School, Edward Ford Building (A27), University of Sydney, Camperdown, Sydney, NSW 2206, Australia.
Emelia J BenjaminBoston University Schools of Medicine and Public Health, The Framingham Heart Study, 73 Mount Wayte Avenue, Suite 2, Framingham, MA 01702-5827, USA.
S Ben FreedmanDepartment of Cardiology 3W, Concord Hospital, Hospital Road, Concord, NSW 2139, Australia.
Genevieve CooreyThe George Institute for Global Health, University of Sydney, Level 10 KGV Building, Missenden Road, Camperdown, NSW 2050, Australia.
Julie RedfernThe George Institute for Global Health, University of Sydney, Level 10 KGV Building, Missenden Road, Camperdown, NSW 2050, Australia.

Funding

IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
NHLBI NIH HHS 2R01HL092577-05
6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. Mobile technology might enable increased access to effective prevention of CVDs. Given the high penetration of smartphones into groups with low socioeconomic status, health-related mobile applications might provide an opportunity to overcome traditional barriers to cardiac rehabilitation access. The huge increase in low-cost health-related apps that are not regulated by health-care policy makers raises three important areas of interest. Are apps developed according to evidenced-based guidelines or on any evidence at all? Is there any evidence that apps are of benefit to people with CVD? What are the components of apps that are likely to facilitate changes in behaviour and enable individuals to adhere to medical advice? In this Review, we assess the current literature and content of existing apps that target patients with CVD risk factors and that can facilitate behaviour change. We present an overview of the current literature on mobile technology as it relates to prevention and management of CVD. We also evaluate how apps can be used throughout all age groups with different CVD prevention needs.

Indexed as

Cell PhoneMobile ApplicationsCardiovascular DiseasesEvidence-Based MedicineHealth BehaviorHealth PromotionHumans

Identifiers

PMID25801714

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.