Effect of smartphone apps on glycemic control in young patients with type 1 diabetes : A meta-analysis
Copyright © 2023 Pi, Shi, Wang and Zhou..
Objectives: Achieving glycemic control is a great challenge for young patients with type 1 diabetes (T1D), especially during the transition from childhood to adulthood. As various smartphone apps have been developed to improve glycemic control in T1D, we performed a meta-analysis of randomized controlled trials to assess the effect of smartphone apps on glycemic control in young patients with T1D.
Methods: We systematically searched PubMed, Embase, and the Cochrane Library for randomized controlled trials comparing combined usual care and smartphone app treatment to usual care alone. This meta-analysis is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The primary outcomes were the weighted difference in means (WMD) of HbA1c change from baseline and the person-years incidence of mild hypoglycemia or severe hypoglycemia between intervention and control groups. We assessed pooled data by use of a random-effects model.
Results: Of 1,190 identified studies, nine were eligible and included in our analysis (N = 748 participants). Relative to the control, using smartphone apps yielded a non-significant reduction in glycated hemoglobin (HbA1c) (WMD = -0.26, 95% CI: -0.56 to 0.05; p = 0.10) and no increased frequency of mild hypoglycemia (WMD = 1.87, 95% CI: -1.52 to 5.27; p = 0.49) or severe hypoglycemia (WMD = -0.04, 95% CI: -0.35 to 0.27; p = 0.80). In further subgroup analysis, compared with the recording-style app group, the auxiliary-style app group exhibited a significant reduction in HbA1c (WMD = -0.83, 95% CI: -1.10 to -0.56, p < 0.001).
Conclusion: The current pooled data analysis did not reveal a significant reduction in HbA1c in young patients with T1D undergoing treatment with smartphone apps and usual care in combination. However, auxiliary-style apps with insulin or carbo calculators were beneficial in reducing HbA1c.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
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| Enthalten in: |
Frontiers in public health - 11(2023) vom: 15., Seite 1074946 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Pi, Linhua [VerfasserIn] |
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| Links: |
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| Themen: |
Blood Glucose |
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| Anmerkungen: |
Date Completed 19.04.2023 Date Revised 25.04.2023 published: Electronic-eCollection Citation Status MEDLINE |
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| doi: |
10.3389/fpubh.2023.1074946 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM35568750X |
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| 245 | 1 | 0 | |a Effect of smartphone apps on glycemic control in young patients with type 1 diabetes |b A meta-analysis |
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| 500 | |a Date Revised 25.04.2023 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 Pi, Shi, Wang and Zhou. | ||
| 520 | |a Objectives: Achieving glycemic control is a great challenge for young patients with type 1 diabetes (T1D), especially during the transition from childhood to adulthood. As various smartphone apps have been developed to improve glycemic control in T1D, we performed a meta-analysis of randomized controlled trials to assess the effect of smartphone apps on glycemic control in young patients with T1D | ||
| 520 | |a Methods: We systematically searched PubMed, Embase, and the Cochrane Library for randomized controlled trials comparing combined usual care and smartphone app treatment to usual care alone. This meta-analysis is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The primary outcomes were the weighted difference in means (WMD) of HbA1c change from baseline and the person-years incidence of mild hypoglycemia or severe hypoglycemia between intervention and control groups. We assessed pooled data by use of a random-effects model | ||
| 520 | |a Results: Of 1,190 identified studies, nine were eligible and included in our analysis (N = 748 participants). Relative to the control, using smartphone apps yielded a non-significant reduction in glycated hemoglobin (HbA1c) (WMD = -0.26, 95% CI: -0.56 to 0.05; p = 0.10) and no increased frequency of mild hypoglycemia (WMD = 1.87, 95% CI: -1.52 to 5.27; p = 0.49) or severe hypoglycemia (WMD = -0.04, 95% CI: -0.35 to 0.27; p = 0.80). In further subgroup analysis, compared with the recording-style app group, the auxiliary-style app group exhibited a significant reduction in HbA1c (WMD = -0.83, 95% CI: -1.10 to -0.56, p < 0.001) | ||
| 520 | |a Conclusion: The current pooled data analysis did not reveal a significant reduction in HbA1c in young patients with T1D undergoing treatment with smartphone apps and usual care in combination. However, auxiliary-style apps with insulin or carbo calculators were beneficial in reducing HbA1c | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Meta-Analysis | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a glycemic control | |
| 650 | 4 | |a hypoglycemia | |
| 650 | 4 | |a smartphone apps | |
| 650 | 4 | |a type 1 diabetes | |
| 650 | 4 | |a young patients | |
| 650 | 7 | |a Blood Glucose |2 NLM | |
| 650 | 7 | |a Glycated Hemoglobin |2 NLM | |
| 700 | 1 | |a Shi, Xiajie |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Zhen |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Zhiguang |e verfasserin |4 aut | |
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