Evidence map›Paper›PMID 34951684›Full record

SynthesisJournal of medical systems2021

Effectiveness of Wearable Device-based Intervention on Glycemic Control in Patients with Type 2 Diabetes: A System Review and Meta-Analysis.

Jingsong Luo, Ke Zhang, Yaxin Xu, Yanmin Tao, Qi Zhang

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Journal of medical systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Jingsong LuoSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
Ke ZhangDepartment of Psychology, Shanxi Datong University, Datong, 037000, China.
Yaxin XuSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
Yanmin TaoSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
Qi ZhangSchool of Nursing, Peking University, Beijing, 100191, China. zhangqi139139@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of flexible electronics and chip technology, the application value of wearable devices in lifelong treatment of chronic diseases is increasing. In view of its rapid development and diversified forms, wearable device-based intervention seems to provide a promising option to solve the problems of long-term glycemic control in type 2 diabetes (T2D). However, to date, it is unclear whether the intervention based on wearable device is effective on glycemic control in patients with T2D. In order to explore whether this choice is effective in glycemic control in patients with T2D, after database search and study screening, 6 studies and 1001 patients were selected from 181studies for this meta-analysis. The results guided that the wearable device-based intervention may be more effective than usual care on glycemic control in patients with T2D. Subgroup analysis showed that when the duration of intervention was equal to or less than 12 weeks, the effect of wearable device-based intervention was significantly different from that of usual care, but when the intervention duration greater than 12 weeks, the effect was not significantly different. The intervention effect of wearable devices with goal-setting or encouragement functions was significantly better than that of usual care, and there was no significant difference between automatic drug delivery wearable devices and usual care. In conclusion, the wearable device-based intervention is effective on glycemic control in patients with T2D. In general, this choice of wearable devices for patients with T2D may be effective to some extent.

Indexed as

Diabetes Mellitus, Type 2Wearable Electronic DevicesGlycemic ControlHumansHbAlcMeta-analysisType 2 DiabetesWearable device

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.