MétaCan
Menu
Back to cohort
Record W4403305840 · doi:10.1089/dia.2024.0272

Insulin Pump Use and Diabetic Ketoacidosis Risk in Type 1 Diabetes: Secular Trends over Four Decades

2024· article· en· W4403305840 on OpenAlexaff
Dalton Budhram, Priya Bapat, Abdulmohsen Bakhsh, Mohammad I. Abuabat, Natasha J. Verhoeff, Doug Mumford, Wajeeha Cheema, Andrej Orszag, Akshay Jain, David Z.I. Cherney, Michael Fralick, Bader N. Alamri, Alanna Weisman, Leif E. Lovblom, Bruce A. Perkins

Bibliographic record

VenueDiabetes Technology & Therapeutics · 2024
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsMcMaster UniversitySurrey Memorial HospitalUniversity of British ColumbiaUniversity Health NetworkUniversity of TorontoSinai Health SystemLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
Fundersnot available
KeywordsMedicineDiabetic ketoacidosisDiabetes mellitusType 1 diabetesSecular variationKetoacidosisInsulin pumpType 2 diabetesInsulinPediatricsIntensive care medicineInternal medicineEndocrinologyDemography

Abstract

fetched live from OpenAlex

Introduction: Continuous subcutaneous insulin infusion (CSII) in type 1 diabetes has been regarded as a major diabetic ketoacidosis (DKA) risk factor. We aimed to determine secular trends in risk since CSII implementation in the 1980s. Research Design and Methods: We assessed the relationship between time-varying CSII use and DKA events from 1983 to 2017 and by each decade in the 1441 Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study participants using crude and adjusted Cox proportional hazards models. Results: Time-varying CSII exposure was associated with significantly higher DKA risk in the 1980s (adjusted hazard ratio [HR] 5.81; 95% confidence interval [CI] 3.28–10.29; P < 0.001), but in the 2010s, this risk was not significantly elevated (adjusted HR 1.24; 95% CI 0.73–2.12; P = 0.43). Conclusions: DKA risk associated with CSII in type 1 diabetes has declined substantially since the 1980s such that the remaining risk in the past decade appears to be of low magnitude.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.295
Teacher spread0.266 · 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 teacher head, not a consensus.

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

Citations9
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueDiabetes Technology & TherapeuticsSame topicDiabetes Management and ResearchFrench-language works237,207