Evidence map›Paper›PMID 41497476›Full record

ArticleJournal of diabetes research2025

Real-World Evidence on Mobile App-Supported Diabetes Management in Insulin-Treated Patients.

Lena Roth, Julian Stein, Peter E H Schwarz

Abstract read
In one paragraph

Article in Journal of diabetes research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Lena RothDepartment for Prevention and Care of Diabetes, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, tu-dresden.de.ORCID https://orcid.org/0000-0003-4254-1561
Julian SteinDepartment for Prevention and Care of Diabetes, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, tu-dresden.de.
Peter E H SchwarzDepartment for Prevention and Care of Diabetes, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, tu-dresden.de.ORCID https://orcid.org/0000-0001-6317-7880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health interventions, such as mobile diabetes apps, are aimed at supporting glycemic control. Real-world data (RWD) provide valuable insights into their long-term effectiveness beyond the controlled conditions of randomized trials. Objective: This study evaluates the effectiveness of the mobile diabetes app ESYSTA in improving glycemic control using real-world evidence. Methods: A retrospective analysis of 475 users was conducted to assess HbA1c changes after 6 months of usage and also long-term usage (12 and 15 months). A linear mixed model was used to adjust for confounding factors. Results: After 6 months, ESYSTA users achieved a significant HbA1c reduction of -0.59 (-0.70; -0.48) percentage points compared to baseline, which was maintained for up to 15 months. Users with higher baseline HbA1c showed greater reductions. Seventy-five percent of users tracked their blood glucose values consistently during the whole observation period. Conclusion: These real-world evidence findings demonstrate the effectiveness of a mobile diabetes app in improving glycemic control over an extended period. While statistical adjustments addressed potential biases, missing data remain a challenge. Further research, including controlled studies, is needed to confirm these real-world results and further explore the underlying mechanisms of sustained HbA1c improvement.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2Glycemic ControlHypoglycemic AgentsInsulinMobile ApplicationsAdultAgedBlood GlucoseDigital HealthFemaleGlycated HemoglobinHumansMaleMiddle AgedRetrospective StudiesBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulindiabetes mellitusdigital health interventioneHealthHbA1creal-world datareal-world evidenceself-management

Identifiers

PMID41497476
PMCPMC12767227

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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.