Evidence map›Paper›PMID 37214251›Full record

SynthesisFrontiers in endocrinology2023

Effects of E-health-based interventions on glycemic control for patients with type 2 diabetes: a Bayesian network meta-analysis.

Xiaoyue Zhang, Lanchao Zhang, Yuxin Lin, Yihua Liu, Xiaochen Yang, Wangnan Cao, Ying Ji, Chun Chang

Open access · goldAbstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
8.3field-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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Observational
  6. [Type 2 diabetes patients use E-health to manage disease willingness and influence mechanisms].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Living withDigital health
    Article
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

8 authors at 1 institution in 1 country.

Xiaoyue ZhangDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Lanchao ZhangDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Yuxin LinDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Yihua LiuDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Xiaochen YangDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Wangnan CaoDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Ying JiDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Chun ChangDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high disease burden of type 2 diabetes seriously affects the quality of life of patients, and with the deep integration of the Internet and healthcare, the application of electronic tools and information technology to has become a trend for disease management. The aim of this study was to evaluate the effectiveness of different forms and durations of E-health interventions in achieving glycemic control in type 2 diabetes patients. PubMed, Embase, Cochrane, and Clinical Trials.gov were searched for randomized controlled trials reporting different forms of E-health intervention for glycemic control in type 2 diabetes patients, including comprehensive measures (CM), smartphone applications (SA), phone calls (PC), short message service (SMS), websites (W), wearable devices (WD), and usual care. The inclusion criteria were as follows: (1) adults (age≥18) with type 2 diabetes mellitus; (2) intervention period ≥1 month; (3) outcome HbA1c (%); and (4) randomized control of E-health based approaches. Cochrane tools were used to assess the risk of bias. R 4.1.2 was used to conduct the Bayesian network meta-analysis. A total of 88 studies with 13,972 type 2 diabetes patients were included. Compared to the usual care group, the SMS-based intervention was superior in reducing HbA1c levels (mean difference (MD)-0.56, 95% confidence interval (CI): -0.82 to -0.31), followed by SA (MD-0.45, 95% CI: -0.61 to -0.30), CM (MD-0.41, 95% CI: -0.57 to -0.25), W (MD-0.39, 95% CI: -0.60 to -0.18) and PC (MD-0.32, 95% CI: -0.50 to -0.14) (p < 0.05). Subgroup analysis revealed that intervention durations of ≤6 months were most effective. All type of E-health based approaches can improve glycemic control in patients with type 2 diabetes. SMS is a high-frequency, low-barrier technology that achieves the best effect in lowering HbA1c, with ≤6 months being the optimal intervention duration. Systematic review registration: https://www.crd.york.ac.uk/prospero, identifier CRD42022299896.

Indexed as

Diabetes Mellitus, Type 2TelemedicineAdolescentAdultBayes TheoremGlycated HemoglobinGlycemic ControlHumansQuality of LifeGlycated HemoglobinBayesianE-healthglycemic controlnetwork meta-analysistype 2 diabetes

Identifiers

PMID37214251
PMCPMC10196691
OpenAlexW4377564497

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.