Evidence map›Paper›PMID 40432403›Full record

ArticleDiabetes, obesity & metabolism2025

Real-world evaluation of automated insulin delivery therapy in type 1 diabetes: A multicentre study across regional and metropolitan Queensland, Australia.

Akash Konantambigi, Wenyong Wang, Dylan Boggild, Arushi Rana, Larisa Syphers, Catherine Presley, Candice Cummins, Usman Malabu, Kate Hawke, Vasant Shenoy and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
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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

12 authors.

Akash KonantambigiMackay Hospital and Health Service, Mackay, Queensland, Australia.
Wenyong WangLogan Hospital Metro South Health, Loganholme, Queensland, Australia.
Dylan BoggildTownsville University Hospital, Townsville, Queensland, Australia.
Arushi RanaMackay Hospital and Health Service, Mackay, Queensland, Australia.
Larisa SyphersTownsville University Hospital, Townsville, Queensland, Australia.
Catherine PresleyMackay Hospital and Health Service, Mackay, Queensland, Australia.
Candice CumminsTownsville University Hospital, Townsville, Queensland, Australia.
Usman MalabuTownsville University Hospital, Townsville, Queensland, Australia.
Kate HawkeLogan Hospital Metro South Health, Loganholme, Queensland, Australia.
Vasant ShenoyTownsville University Hospital, Townsville, Queensland, Australia.
Gaurav PuriLogan Hospital Metro South Health, Loganholme, Queensland, Australia.
Harshal DeshmukhMackay Hospital and Health Service, Mackay, Queensland, Australia.ORCID 0000-0002-3859-3118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutomated insulin delivery (AID) systems, which integrate continuous glucose monitoring (CGM) with automated insulin dosing, have emerged as a transformative therapy. However, real-world data on AID effectiveness, particularly in regional Australia, remain limited.

methodsWe conducted a retrospective audit across three Australian hospital sites-Logan (metropolitan), Mackay and Townsville (regional)-to evaluate the impact of AID therapy in adults with Type 1 Diabetes Mellitus (T1DM). Data on demographics, comorbidities, CGM metrics and clinical outcomes were extracted from medical records and device platforms. The primary outcome was change in HbA1c and CGM time-in-range (TIR; 3.9-10 mmol/L) at follow-up. Follow-up data were recorded up to 12 months following AID commencement. Secondary outcomes included changes in body weight, glycaemic variability and predictors of HbA1c reduction.

resultsThe study consisted of 158 people living with T1DM who were initiated on AID. Following AID initiation, mean TIR improved from 53.4% (SD 21.1%) to 70.0% (SD 14.6%) (p < 0.0001), and time in hyperglycaemia (>13.9 mmol/L) declined from 18.7% (SD 19.4%) to 8.4% (SD 9.31%) (p < 0.0001). The mean HbA1c significantly decreased from 8.62% (SD 1.70) at baseline to 7.34% (SD 1.31) at follow-up across the entire study cohort (p < 0.0001), with 42.7% achieving <7% and 64.1% achieving <7.5% at follow-up. Multivariable regression identified higher baseline HbA1c (p < 0.0001) as a significant predictor of HbA1c reduction. Improvements were consistent across AID system types and geographical settings.

conclusionsAID therapy significantly improves glycaemic control in adults with T1DM in both regional and metropolitan Australia. Our findings support the real-world effectiveness of AID systems and highlight their potential to bridge care gaps across diverse settings.

Indexed as

Diabetes Mellitus, Type 1Hypoglycemic AgentsInsulinInsulin Infusion SystemsAdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringFemaleGlycated HemoglobinGlycemic ControlHumansHyperglycemiaHypoglycemiaMaleMiddle AgedBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulincontinuous glucose monitoringinsulin pump therapypopulation studyreal‐world evidence

Identifiers

PMID40432403
PMCPMC12232346

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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.