Evidence map›Paper›PMID 39578910›Full record

SynthesisArchives of public health = Archives belges de sante publique2024

Prognostic effectiveness of interactive vs. non-interactive mobile app interventions in type 2 diabetes: a systematic review and meta-analysis.

Zheng Tang, Lijuan Zhao, Jixin Li, Yang Yang, Fengzhao Liu, Han Li, Zhenyu Yang, Shanyu Qin, Xinqin Li

Abstract readSystematic Review
In one paragraph

Synthesis in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
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.

Zheng Tang *College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250014, China.
Lijuan Zhao *First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250014, China.
Jixin Li *Xi yuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China.
Yang YangCollege of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250014, China.
Fengzhao LiuFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250014, China.
Han LiDepartment of Geriatric Medicine, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, 250014, China.
Zhenyu YangGraduate School of Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150040, China.
Shanyu QinCollege of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250014, China.
Xinqin LiShandong Vocational College of Special Education, Jinan, Shandong, 250000, China. sdutcmlxq@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile app interventions are emerging as significant tools in managing the prognosis of type 2 diabetes, demonstrating progressively greater impacts. The effectiveness of these interventions needs further evidence-based support.

objectiveThis study conducted a systematic review and meta-analysis of randomized controlled trials to evaluate the effectiveness of mobile app interventions in improving prognosis for patients with type 2 diabetes.

methodsWe searched PubMed, Cochrane, Embase, and Web of Science for relevant studies published from inception to 18 April 2024, adhering to the Cochrane Handbook guidelines. The quality of the included studies was assessed using the Cochrane risk of bias tool. Primary outcomes measured were changes in glycated hemoglobin (HbA1c) and diabetes self-management (DSM). Secondary outcomes included changes in diastolic blood pressure (DBP), systolic blood pressure (SBP), triglycerides(TG), total cholesterol(TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), lipid profiles, fasting plasma glucose (FPG), body mass index (BMI), and Steps outcomes. Subgroup analyses were performed for the primary outcomes and for high-density lipoprotein (HDL), low-density lipoprotein (LDL), diastolic blood pressure (DBP), and systolic blood pressure (SBP). Interventions with or without interactions were also used as a basis for subgrouping.

resultsA total of 15 eligible articles involving 17 studies with 2,028 subjects (1,123 in the intervention group and 1,020 in the control group) were included in the synthesis. Interactive mobile app interventions significantly reduced HbA1c levels (SMD - 0.24; 95% CI, -0.33 to -0.15; P < 0.00001) and significantly improved diabetes self-care (SMD 0.71; 95% CI, 0.21 to 1.21; P = 0.005). Secondary outcomes, including FPG, LDL, DBP, and SBP, showed varying degrees of improvement. Subgroup analyses indicated that the intervention effect was more pronounced and less heterogeneous in the short-term (≤ 3 months) for younger Asian individuals (< 55 years) who used an interactive mobile app.

conclusionInteractive mobile app interventions effectively improve HbA1c levels and diabetes self-care competencies in patients with type 2 diabetes. These interventions offer supportive evidence for their clinical use in managing and prognosticating type 2 diabetes. SYSTEMATIC REVIEW REGISTRATION: CRD42024550643.

Indexed as

Diabets self-managementMeta-analysisMobile appSystematic reviewType 2 diabetes mellitus

Identifiers

PMID39578910
PMCPMC11583391

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.