Evidence map›Paper›PMID 38835608›Full record

SynthesisFrontiers in public health2024

Efficacy of telemedicine intervention in the self-management of patients with type 2 diabetes: a systematic review and meta-analysis.

Fengzhao Liu, Jixin Li, Xiangyu Li, Zhenyu Yang, Wenru Wang, Lijuan Zhao, Tao Wu, Chengcheng Huang, Yunsheng Xu

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Observational
  8. Article
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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

9 authors.

Fengzhao Liu *First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Jixin Li *Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xiangyu LiWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhenyu YangGraduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Wenru WangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Lijuan ZhaoFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Tao WuCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Chengcheng HuangDepartment of Endocrinology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.
Yunsheng XuDepartment of Endocrinology, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to report the latest and largest pooled analyses and evidence updates to assess the effectiveness of telemedicine interventions for self-management (DSM) in patients with type 2 diabetes mellitus (T2DM). Methods: A systematic literature search was conducted using PubMed, Cochrane, Embase, and Web of Science in December 2023. We included randomized controlled trials (RCTs) of adults (≥18 years of age) diagnosed with T2DM where the intervention was the application of telemedicine. The Cochrane Risk of Bias Assessment was used to evaluate quality. The study's main outcome indicators were glycosylated hemoglobin (HbA1c) and diabetes self-management (DSM) capacity. Results: A total of 17 eligible articles, comprising 20 studies and 1,456 patients (734 in the intervention group and 722 in the control group), were included in the evidence synthesis. The baseline characteristics of both groups were similar in all outcomes. Comprehensive analyses showed post-intervention decreases in HbA1c, 2-h postprandial glucose, systolic and diastolic blood pressure, increases in Diabetes Self- Care activities, DSM competencies based on dietary and medication adherence, and improvements in overall DSM scores, all of which were statistically significant. While no statistically significant differences were observed in body mass index, lipids, and other DSM dimensions. Based on subgroup analyses, app-based experimental interventions targeting under 60 years old populations in Asia and North America were found to be more effective and less heterogeneity in the short term (<6 months of intervention). Conclusion: Telemedicine interventions may assist patients with T2DM in enhancing their DSM and improving their HbA1c levels. Clinician can use various telemedicine interventions to enhance DSM in T2DM patients, considering local circumstances. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, CRD42024508522.

Indexed as

Diabetes Mellitus, Type 2Glycated HemoglobinSelf-ManagementTelemedicineHumansMiddle AgedRandomized Controlled Trials as TopicGlycated Hemoglobinblood pressurediabetes self-managementdietglycosylated hemoglobinmedication adherencemeta-analysistelemedicinetype 2 diabetes mellitus

Identifiers

PMID38835608
PMCPMC11148367

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Registered trials

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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.