Evidence map›Paper›PMID 27798018›Full record

ArticleBMJ open2016

Text2PreventCVD: protocol for a systematic review and individual participant data meta-analysis of text message-based interventions for the prevention of cardiovascular diseases.

Clara K Chow, Sheikh Mohammed Shariful Islam, Andrew Farmer, Kirsty Bobrow, Ralph Maddision, Robyn Whittaker, Leila Pfaeffli Dale, Andreas Lechner, Louis Niessen, Scott A Lear and 5 more

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

15 authors.

Clara K ChowThe George Institute for Global Health, Sydney, Australia.
Sheikh Mohammed Shariful IslamThe George Institute for Global Health, Sydney, Australia.ORCID 0000-0001-7926-9368
Andrew FarmerOxford University, Oxford, UK.
Kirsty BobrowOxford University, Oxford, UK.
Ralph MaddisionThe University of Auckland, Auckland, New Zealand.
Robyn WhittakerThe University of Auckland, Auckland, New Zealand.
Leila Pfaeffli DaleThe University of Auckland, Auckland, New Zealand.
Andreas LechnerDiabetes Research Group, Ludwig-Maximilians University, Munich, Germany.
Louis NiessenLiverpool School of Tropical Medicine, Liverpool, UK.
Scott A LearSimon Fraser University and St. Paul's Hospital, Vancouver, British Columbia, Canada.
Zubin J EapenDuke Clinical Research Institute, Durham, North Carolina, USA.
Karla SantoThe George Institute for Global Health, Sydney, Australia.
Sandrine StepienThe George Institute for Global Health, Sydney, Australia.
Julie RedfernThe George Institute for Global Health, Sydney, Australia.
Anthony RodgersThe George Institute for Global Health, Sydney, Australia.

Funding

Medical Research Council MR/M016498/1
6 · The paper itself

Abstract

introductionText message interventions have been shown to be effective in prevention and management of several non-communicable disease risk factors. However, the extent to which their effects might vary in different participants and settings is uncertain. We aim to conduct a systematic review and individual participant data (IPD) meta-analysis of randomised clinical trials examining text message interventions aimed to prevent cardiovascular diseases (CVD) through modification of cardiovascular risk factors (CVRFs). METHODS AND ANALYSIS: Systematic review and IPD meta-analysis will be conducted according to Preferred Reporting Items for Systematic review and Meta-Analysis of IPD (PRISMA-IPD) guidelines. Electronic database of published studies (MEDLINE, EMBASE, PsycINFO and Cochrane Library) and international trial registries will be searched to identify relevant randomised clinical trials. Authors of studies meeting the inclusion criteria will be invited to join the IPD meta-analysis group and contribute study data to the common database. The primary outcome will be the difference between intervention and control groups in blood pressure at 6-month follow-up. Key secondary outcomes include effects on lipid parameters, body mass index, smoking levels and self-reported quality of life. If sufficient data is available, we will also analyse blood pressure and other secondary outcomes at 12 months. IPD meta-analysis will be performed using a one-step approach and modelling data simultaneously while accounting for the clustering of the participants within studies. This study will use the existing data to assess the effectiveness of text message-based interventions on CVRFs, the consistency of any effects by participant subgroups and across different healthcare settings. ETHICS AND DISSEMINATION: Ethical approval was obtained for the individual studies by the trial investigators from relevant local ethics committees. This study will include anonymised data for secondary analysis and investigators will be asked to check that this is consistent with their existing approvals. Results will be disseminated via scientific forums including peer-reviewed publications and presentations at international conferences. TRIAL REGISTRATION NUMBER: CRD42016033236.

Indexed as

Cell PhoneText MessagingCardiovascular DiseasesHumansMeta-Analysis as TopicRandomized Controlled Trials as TopicReminder SystemsRisk Reduction BehaviorSelf CareSystematic Reviews as TopicCardiovascular diseasespreventionrandomized controlled trialsshort message service (SMS)text messages

Identifiers

PMID27798018
PMCPMC5073594

What OpenQuestion 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 OpenQuestion graph.