Advanced information technologies in management of type 2 diabetes mellitus: A network meta-analysis (Preprint)

Author:

Zhang Jia,Liu Xi,Wei Liling,Zeng Qiong,Lin KunORCID

Abstract

BACKGROUND

Type 2 diabetes mellitus(T2DM)is one of the most common chronic disease worldwide, and the number of people with T2DM is expected to exceed 9% of the world’s population by 2035, which puts heavy pressure on patients and the health-care system. Recently, self-management of the diabetes had been making great progress with the development of the advance technology. There were many new self-management interventions, including computer-based deliver, telephone deliver and so on.

OBJECTIVE

The network meta‐analysis was designed to comprehensively evaluate the efficacy of self-management for T2DM in present study.

METHODS

Keywords “Type 2 diabetes mellitus” and “self-management intervention” were used as searching strategies through PubMed, Cochrane library, MEDLINE, and EMBASE databases (inception–May2, 2020). The search criteria were RCT studies and reported in English language. The primary outcome was the change in HbA1c from baseline. We perform the pairwise meta-analysis and Bayesian NMA to investigate the efficacy of self-management in patients with T2DM, applying Revman 5.3, Stata 14.0 software and GeMTC 0.14.3.

RESULTS

Thirty-five studies met the inclusion criteria and qualified for the ultimate meta-analysis. Our meta-analysis displayed three advance self-management for T2DM, including computer-based deliver, telephone deliver and telemonitoring deliver. All of these self-management measures had been proven to be more effective than placebo in blood glucose management, and computer-based deliver is most likely to become the most efficient way among them.

CONCLUSIONS

Compared with other self-management, the computer-based deliver was the most effective self-management for T2DM.

Publisher

JMIR Publications Inc.

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