Evidence map›Paper›PMID 29735475›Full record

SynthesisJournal of medical Internet research2018

Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials.

Ying Shen, Fengbin Wang, Xing Zhang, Xiaorou Zhu, Qiudan Sun, Edwin Fisher, Xinying Sun

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 8 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

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

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  12. Observational
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  17. An SMS-Guided Basal Insulin Titration in People with Type 2 Diabetes New on Insulin.Diabetes therapy : research, treatment and education of diabetes and related disorders · 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

7 authors.

Ying ShenSchool of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0002-1011-6950
Fengbin WangSchool of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0002-1729-6974
Xing ZhangSchool of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0002-3073-2996
Xiaorou ZhuSchool of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0003-1291-0709
Qiudan SunInstitute for Medical Humanities, Peking University Health Science Center, Beijing, China.ORCID 0000-0002-8907-0499
Edwin FisherGillings School of Global Public Health, University of North Carolina, North Carolina, NC, United States.ORCID 0000-0003-0234-7465
Xinying SunSchool of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0001-6638-1473

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundThe popularity of internet as an area of research has grown manifold over the years. Given its rapid development and increasing coverage worldwide, internet-based interventions seem to offer a promising option to ameliorate huge burdens brought by type 2 diabetes mellitus. However, studies conducted by different researchers have provided contradictory results on the effect of internet-based interventions in glycemic control.

objectiveThis meta-analysis aims to summarize currently available evidence and evaluate the overall impact of internet-based interventions on glycemic management of type 2 diabetic patients.

methodsA systematic literature search was performed in PubMed, ScienceDirect, and Web of Science. Randomized controlled trials that used glycosylated hemoglobin values as the outcome measure of glycemic control were considered. Risk of bias and publication bias were evaluated.

resultsOf the 492 studies, 35 were included in meta-analysis, and results indicated that the weighted mean difference (WMD) between usual care and internet-based interventions at endpoint was -0.426% (95% CI -0.540 to -0.312; P<.001). Subgroup analyses revealed that intervention duration ≤3 months yielded optimal performance (WMD -0.51%; 95% CI -0.71 to -0.31; P<.001). Combined mobile and website interventions were substantially superior to solely Web-based and mobile-based interventions in glycemic control (combined WMD -0.77%, 95% CI -1.07 to -0.47; P<.001; Web only: WMD -0.48%; 95% CI -0.71 to -0.24, P<.001; mobile only WMD -0.31%, 95% CI -0.49 to -0.14; P<.001). Furthermore, the effect of interventions with automated feedbacks was similar to those with manual feedbacks, and studies with internet-based educational contents were more effective in glycemic control. The assessment revealed a low risk of bias.

conclusionsIn conclusion, utilization of internet-based intervention is beneficial for patients with type 2 diabetes mellitus, and taking full advantage of this type of intervention may substantially reduce the incidence of complications and improve quality of life.

trial registrationInternational Prospective Register of Systematic Reviews (PROSPERO): CRD42017058032; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=58032 (Archived by WebCite at http://www.webcitation.org/6yY7eQNHr).

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2HumansInternetProspective StudiesQuality of LifeRandomized Controlled Trials as TopicBlood GlucoseHbA1cinternetmeta-analysisrandomized controlled trialtype 2 diabetes mellitus

Identifiers

PMID29735475
PMCPMC5962831

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.