ReviewCurrent cardiology reports2017
The Role of Text Messaging in Cardiovascular Risk Factor Optimization.
Review in Current cardiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Digital Educational Strategies to Implement Evidence-Based Care for Atherosclerotic Cardiovascular Disease.Current atherosclerosis reports · 2026Review
- Learnings from Implementation Strategies to Improve Lipid Management.Current cardiology reports · 2025Review
- Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis.JMIR mHealth and uHealth · 2021Article
- Text messages for primary prevention of cardiovascular disease: the TextMe2 randomised controlled trial protocol.BMJ open · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewMany cases of CVD may be avoidable through lowering behavioural risk factors such as smoking and physical inactivity. Mobile health (mHealth) provides a novel opportunity to deliver cardiovascular prevention programs in a format that is potentially scalable. Here, we provide an overview of text messaging-based mHealth interventions in cardiovascular prevention. RECENT
findingsText messaging-based interventions appear effective on a range of behavioural risk factors and can effect change on multiple risk factors-e.g. smoking, weight, blood pressure-simultaneously. For many texting studies, there are challenges in interpretation as many texting interventions are part of larger complex interventions making it difficult to determine the benefits of the separate components. Whilst there is evidence for text messaging improving cardiovascular risk factor levels in the short-term, future studies are needed to examine the durability of these effects and whether they can be translated to improvements in clinical care and outcomes.
Indexed as
Identifiers
28102482What OpenQuestion holds
Registered trials
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.