Trial reportNature communications2025
A Bayesian decision support system for automated insulin doses in adults with type 1 diabetes on multiple daily injections: a randomized controlled trial.
Trial report in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04123054 (An Open-Label, Randomized, Two-Way, Parallel Study to Compare the Effectiveness of Multiple Daily Injection Treatment With an Insulin Dose Optimization Algorithm in Free-Living Outpatient Conditions in Patients With Type 1 Diabetes), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
An Open-Label, Randomized, Two-Way, Parallel Study to Compare the Effectiveness of Multiple Daily Injection Treatment With an Insulin Dose Optimization Algorithm in Free-Living Outpatient Conditions in Patients With Type 1 Diabetes
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A probabilistic multicriteria decision analysis of robot-assisted versus laparoscopic sacrocolpopexy: a secondary analysis of published meta-analytic data.Journal of robotic surgery · 2026Pooled it
- Toward Personalized Decision Support Systems for Type 1 Diabetes: Integrating Psychobehavioral Factors and Glycemic Control.Journal of diabetes science and technology · 2025Trial
- Inter- and intra-physician variability in insulin injection adjustments compared with Bayesian algorithm recommendations in type 1 diabetes.Diabetologia · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Achieving optimal glycemic control remains challenging for many individuals with type 1 diabetes using multiple daily injections. We report results from a 12-week, open-label, randomized controlled trial evaluating a decision support system (DSS) consisting of a mobile application and a titration algorithm that provides weekly basal and prandial insulin recommendations. Eighty-four adults with type 1 diabetes and suboptimal glycemic control (HbA1c ≥ 7.5%) are randomized 1:1 to receive the DSS or a non-adaptive bolus calculator (control), alongside Freestyle Libre glucose sensors. The primary endpoint is change in HbA1c from baseline; secondary endpoints include additional glycemic and insulin-related metrics. The DSS reduces mean HbA1c from 8.6% (SD 1.1) to 8.1% (0.8) (p = 0.0002), while the control reduces HbA1c from 8.6% (1.0) to 8.5% (1.0) (p = 0.22); yielding a treatment effect of -0.40% (95% CI: -0.75 to -0.051; p = 0.025). There are no reported severe hypoglycemia or diabetic ketoacidosis events. Our DSS improves HbA1c in this population without compromising safety. ClinicalTrials.gov: NCT04123054 .
Indexed as
Identifiers
What Socratic holds
Registered trials
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.