Evidence mapPaperPMID 39831344Full record

ArticleDiabetes, obesity & metabolism2025

Predictors of glycaemic improvement in children and young adults with type 1 diabetes and very elevated HbA1c using the MiniMed 780G system.

Yongwen Zhou, Alisa Boucsein, Venus R Michaels, Madeleine K Gray, Craig Jefferies, Esko Wiltshire, Ryan G Paul, Amber Parry-Strong, Maheen Pasha, Goran Petrovski and 2 more

Abstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. 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

12 authors.

Yongwen ZhouDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-0558-6712
Alisa BoucseinDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-6266-8802
Venus R MichaelsDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.ORCID 0009-0006-5675-0339
Madeleine K GrayDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.
Craig JefferiesStarship Child Health, Te Whatu Ora Te Toka Tumai Auckland, Auckland, New Zealand.ORCID 0000-0002-0541-6094
Esko WiltshireDepartment of Paediatrics and Child Health, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-8962-2708
Ryan G PaulTe Huatakia Waiora School of Health, University of Waikato, Hamilton, New Zealand.ORCID 0000-0002-1579-3870
Amber Parry-StrongDepartment of Paediatrics and Child Health, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-5427-9989
Maheen PashaDivision of Endocrinology, Sidra Medicine, Doha, Qatar.
Goran PetrovskiDivision of Endocrinology, Sidra Medicine, Doha, Qatar.ORCID 0000-0002-8622-2186
Martin I de BockDepartment of Paediatrics, University of Otago Christchurch, Christchurch, New Zealand.ORCID 0000-0003-0454-6679
Benjamin J WheelerDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0003-3348-5238

Funding

Lions New Zealand District 202FLloyd Morgan Lions Clubs Charitable TrustNew Zealand Lottery Grants Board R-LHR-2021-153881New Zealand Lottery Grants Board R-LHR-2023-215456Otago Southland Diabetes Research TrustSpinal Cord Society of New ZealandStarship Foundation SF4374The Bowen FamilyUniversity of Otago Wellington
6 · The paper itself

Abstract

aimsThis study aimed to identify key factors with the greatest influence on glycaemic outcomes in young individuals with type 1 diabetes (T1D) and very elevated glycaemia after 3 months of automated insulin delivery (AID). MATERIALS AND

methodsData were combined and analysed from two separate and previously published studies with similar inclusion criteria assessing AID (MiniMed 780G) efficacy among young individuals naïve to AID (aged 7-25 years) with glycated haemoglobin A1c (HbA1c) ≥69 mmol/mol (≥8.5%). Univariate and multivariate linear models were performed to explore factors leading to the greatest improvements in HbA1c and time in range 3.9-10.0 mmol/L (70-180 mg/dL; TIR).

resultsA total of 99 young individuals (aged 17.3 ± 4.2 years; baseline HbA1c 92 ± 21 mmol/mol [10.6% ± 1.9%]) were included. After 3 months of AID use, HbA1c improved to 65 ± 16 mmol/mol (8.1% ± 1.5%) (-27 ± 23 mmol/mol; -2.5% ± 2.1% change), and TIR improved from 24.2% ± 13.5% to 58.4% ± 15.4% (p both <0.001). In the multivariate analysis, two key factors for both HbA1c and TIR improvement were identified: high baseline HbA1c (>100 mmol/mol [>11.0%]) and high time in automation mode (>80%), which led to decreased HbA1c by 27.0 mmol/mol (2.4%) and 14.2 mmol/mol (1.3%) and increased TIR by 6.1% and 11.1% (p all <0.05) respectively. Meal announcement frequency >3 times/day and glucose target of 5.5 mmol/L (100 mg/dL) also led to significant increases in TIR. No other factors, including age, prior use of multiple daily injection, ethnicity, gender and optimal active insulin time 2 h, contributed to statistically significant HbA1c or TIR improvement.

conclusionsIn young individuals naive to AID, those with the highest baseline HbA1c and high percentage time in automation experience the greatest benefits after initiation of AID. Sociodemographic background and carbohydrate counting adherence/knowledge should not prevent or delay access to AID technology (ACTRN12621000556842 and ACTRN12622001454763).

Indexed as

Diabetes Mellitus, Type 1Glycated HemoglobinGlycemic ControlHypoglycemic AgentsInsulinInsulin Infusion SystemsAdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringChildFemaleHumansMaleTreatment OutcomeYoung AdultBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulinautomated insulin deliverychildren and adolescentstype 1 diabetes mellitus

Identifiers

PMID39831344
PMCPMC11885095

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.