Evidence map›Paper›PMID 40587847›Full record

Observational studyJournal of medical Internet research2025

Improvements in Glycemic Control With a Digital Diabetes Logbook: Secondary Analysis of a Randomized Controlled Trial Enriched by Observational, Real-World Data.

Dominic Ehrmann, Bernhard Ruch, Michael Mitter, Johanna Kober, Norbert Hermanns, Vanessa Schäfer, Bernhard Kulzer, Stephan Silbermann

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dominic EhrmannResearch Institute of the Diabetes Academy Mergentheim, Forschungsinstitut der Diabetes-Akademie Bad Mergentheim, Bad Mergentheim, Germany.ORCID https://orcid.org/0000-0002-5794-5596
Bernhard RuchmySugr GmbH, Vienna, Austria.ORCID https://orcid.org/0000-0003-1243-217X
Michael MittermySugr GmbH, Vienna, Austria.ORCID https://orcid.org/0000-0001-5057-4246
Johanna KobermySugr GmbH, Vienna, Austria.ORCID https://orcid.org/0009-0007-6846-8370
Norbert HermannsResearch Institute of the Diabetes Academy Mergentheim, Forschungsinstitut der Diabetes-Akademie Bad Mergentheim, Bad Mergentheim, Germany.ORCID https://orcid.org/0000-0002-2903-2677
Vanessa SchäferRoche Diabetes Care Deutschland GmbH, Mannheim, Germany.ORCID https://orcid.org/0009-0003-1499-945X
Bernhard Kulzer *Research Institute of the Diabetes Academy Mergentheim, Forschungsinstitut der Diabetes-Akademie Bad Mergentheim, Bad Mergentheim, Germany.ORCID https://orcid.org/0000-0001-9120-4479
Stephan Silbermann *Roche Diabetes Care GmbH, Mannheim, Germany.ORCID https://orcid.org/0009-0009-9295-3071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe treatment of diabetes requires substantial self-management. Digital tools can help reduce the burden of self-management and may improve glycemic control.

objectiveThis study aims to determine whether the use of a digital diabetes logbook increased the likelihood of achieving optimal glycemic control (glycated hemoglobin [HbA

methodsData from 342 participants with type 1 or type 2 diabetes enrolled in the mySugr PRO-RCT were analyzed. A robust logistic regression was performed to examine the likelihood of achieving optimal glycemic control, defined as an HbA1c value ≤6.5% at the 3-month follow-up. The dependent variable was the dichotomous outcome indicating whether this threshold was met. The primary independent variable was group allocation, with baseline HbA1c included as a covariate. For the analysis of RWD, a total of 2861 participants with type 1 or type 2 diabetes were identified using propensity score matching to align their characteristics with those of the RCT participants closely. One-sample t tests were conducted to analyze changes in mean blood glucose separately for each diabetes type, from baseline to 3 months of app use, and from baseline to 12 months of app use (in a subcohort of 1176 participants).

resultsThe RCT data showed that the likelihood of achieving optimal glycemic control was nearly doubled in the intervention group compared with the control group (odds ratio 2.24, 95% CI 1.12-4.47; P=.02). RWD indicated that mean blood glucose levels significantly improved over 3 months of app use in both groups (type 1: -16.3 mg/dL; 95% CI -20.6 to -12.4; P<.001 and type 2: -27.3 mg/dL, 95% CI -28.7 to -25.9; P<.001). Participants with an estimated HbA

conclusionsThe secondary analysis of the RCT demonstrated a significant increase in the likelihood of achieving optimal glycemic control after 3 months of using the mySugr logbook. This finding was supported by observational, real-world data, which showed significant reductions in mean blood glucose after 3 and 12 months of app use-particularly among individuals with elevated baseline HbA1c levels.

trial registrationGerman Clinical Trials Register DRKS00022923; https://drks.de/search/en/trial/DRKS00022923/details.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glycemic ControlAdultAgedBlood GlucoseBlood Glucose Self-MonitoringFemaleGlycated HemoglobinHumansMaleMiddle AgedRandomized Controlled Trials as TopicBlood GlucoseGlycated Hemoglobindigital health appglycemic controlrandomized controlled trialreal-world datatype 1 diabetestype 2 diabetes

Identifiers

PMID40587847
PMCPMC12260466

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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.