Evidence map›Paper›PMID 28566151›Full record

SynthesisJournal of the neurological sciences2017

Mobile health as a viable strategy to enhance stroke risk factor control: A systematic review and meta-analysis.

Shimeng Liu, Wuwei Feng, Pratik Y Chhatbar, Yumei Liu, Xunming Ji, Bruce Ovbiagele

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the neurological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
10.3field-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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  20. [Use of smartphone apps in secondary stroke prevention].Wiener medizinische Wochenschrift (1946) · 2020
    Review
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 at 2 institutions in 2 countries.

Shimeng LiuDepartment of Neurology, Medical University of South Carolina, SC, USA; Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wuwei FengDepartment of Neurology, Medical University of South Carolina, SC, USA.
Pratik Y ChhatbarDepartment of Neurology, Medical University of South Carolina, SC, USA.
Yumei LiuDepartment of Neurology, Medical University of South Carolina, SC, USA; Vascular Ultrasound Department, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xunming JiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Bruce OvbiageleDepartment of Neurology, Medical University of South Carolina, SC, USA. Electronic address: ovibes@musc.edu.
Medical University of South Carolina · USCapital Medical University · CN

Funding

Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Stroke Investigative Research & Educational Network (SIREN)U54HG007479 · NHGRI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2013 to 2017
$4.2M
Tailored Hospital-based Risk Reduction to Impede Vascular Events after Stroke (THU01NS079179 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI OVBIAGELE, BRUCE · 2012 to 2016
$2.1M
Phone-based Intervention Under Nurse Guidance after Stroke (PINGS)R21NS094033 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI OVBIAGELE, BRUCE · 2015 to 2016
$337k
NHGRI NIH HHS U54 HG007479NIGMS NIH HHS P20 GM109040NINDS NIH HHS R21 NS094033NINDS NIH HHS U01 NS079179
6 · The paper itself

Abstract

backgroundWith the rapid growth worldwide in cell-phone use, Internet connectivity, and digital health technology, mobile health (mHealth) technology may offer a promising approach to bridge evidence-treatment gaps in stroke prevention. We aimed to evaluate the effectiveness of mHealth for stroke risk factor control through a systematic review and meta-analysis.

methodsWe searched PubMed from January 1, 2000 to May 17, 2016 using the following keywords: mobile health, mHealth, short message, cellular phone, mobile phone, stroke prevention and control, diabetes mellitus, hypertension, hyperlipidemia and smoking cessation. We performed a meta-analysis of all eligible randomized control clinical trials that assessed a sustained (at least 6months) effect of mHealth.

resultsOf 78 articles identified, 13 met eligibility criteria (6 for glycemic control and 7 for smoking cessation) and were included for the final meta-analysis. There were no eligible studies for dyslipidemia or hypertension. mHealth resulted in greater Hemoglobin A1c reduction at 6months (6 studies; 663 subjects; SMD: -0.44; 95% CI: [-0.82, -0.06], P=0.02; Mean difference of decrease in HbA1c: -0.39%; 95% CI: [-0.74, -0.04], P=0.03). mHealth also lead to relatively higher smoking abstinence rates at 6months (7 studies; 9514 subjects; OR: 1.54; 95% CI: [1.24, 1.90], P<0.0001).

conclusionsOur meta-analysis supports that use of mHealth improves glycemic control and smoking abstinence rates.

Indexed as

TelemedicineBlood GlucoseHumansRandomized Controlled Trials as TopicRisk FactorsSmoking CessationStrokeBlood GlucoseDiabetesHyperlipidemia and hypertensionMobile health (mHealth)Smoking cessationStroke prevention

Identifiers

PMID28566151
PMCPMC5503473
OpenAlexW2610098039

What OpenQuestion holds

Textmetadata
LicenceTDM
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.