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Record W4411291677 · doi:10.2337/db25-1519-p

1519-P: Predictors for Timing of Insulin Pump Initiation among Individuals with Type 1 Diabetes in Ontario, Canada

2025· article· en· W4411291677 on OpenAlexaboutno aff
Ximin Zhu, LORRAINE LIPSCOMBE, Rayzel Shulman, Karl Everett, Alanna Weisman, LEIF ERIK LOVBLOM

Bibliographic record

VenueDiabetes · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsInsulin pumpType 2 diabetesMedicineInternal medicineType 1 diabetesDiabetes mellitusInsulinDemographyEndocrinology

Abstract

fetched live from OpenAlex

Introduction and Objective: Early initiation of insulin pump therapy may be important for optimizing glycemic levels during the early time period following diagnosis of T1D, which is critical for improving long-term outcomes. In Ontario, insulin pump therapy for T1D is publicly funded through the Assistive Devices Program (ADP). This study assessed patient- and physician-level characteristics associated with timing of insulin pump initiation among new applicants to ADP in Ontario. Methods: A retrospective population-based cohort study was conducted using administrative healthcare databases in Ontario, Canada. New applicants to ADP between 1 Dec 2006 (age ≤ 18) or 1 Sep 2008 (all ages) and 31 Mar, 2021 were included. An adjusted log-binomial regression model using generalized estimating equations was used to assess associations between patient- and physician-level characteristics and early (within 2 years of T1D diagnosis) versus late (greater than 2 years) insulin pump initiation. Results: Among 4899 individuals with T1D using insulin pumps, 62.6% were early pump initiators. Greater social disadvantage was associated with lower relative risk of early insulin pump initiation (adjusted relative risk [RR] 0.80 [95% confidence interval {CI} 0.74-0.87] for most v. least disadvantaged quintile). General internists (0.85 [0.74-0.97]) and family physicians (0.38 [0.27-0.54]) were less likely than pediatricians to prescribe insulin pump therapy early. Older patient age at diagnosis, physician training pre-initiation of the ADP funding program, and no physician affiliation with an ADP clinic were also associated with late insulin pump initiation Conclusion: Social disadvantage and physician characteristics are associated with late insulin pump initiation, which may have negative long-term effects on glycemic levels. Barriers to early insulin pump initiation should be prioritized to promote equitable insulin pump uptake and glycemic outcomes. Disclosure X. Zhu: None. L. Lipscombe: None. R. Shulman: Advisory Panel; Dexcom, Inc. K. Everett: None. A. Weisman: None. L. Lovblom: None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.252
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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