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Record W4405842386 · doi:10.1016/j.diabres.2024.111981

Duration of physical activity required to Ameliorate hyperglycemia without causing hypoglycemia in type 1 diabetes: A T1DEXI adults and pediatric cohort analyses

2024· article· en· W4405842386 on OpenAlexaff
John Pemberton, Zoey Li, Robin L. Gal, Lauren V. Turner, Simon Bergford, Peter Calhoun, Michael C. Riddell

Bibliographic record

VenueDiabetes Research and Clinical Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsYork University
FundersVerily Life SciencesDexcomLeona M. and Harry B. Helmsley Charitable Trust
KeywordsMedicineHypoglycemiaCohortDiabetes mellitusDuration (music)Type 2 diabetesType 1 diabetesPediatricsInternal medicineCohort studyEndocrinology

Abstract

fetched live from OpenAlex

AIMS: To estimate physical activity (activity) duration required to lower glucose from above target range (>180 mg/dL) to within target range (TIR: 70-180 mg/dL) in individuals with type 1 diabetes (T1D). METHODS: Continuous glucose monitoring and activity data were collected from 404 adults (28-day observation) and 149 adolescents (10-day observation) with T1D. Activities (N = 1902) with a starting glucose between 181-300 mg/dL, duration 10-60 min, and no reported meals during activity were included in the analysis. Kaplan-Meier curves were used to estimate activity duration required to drop starting glucose levels from above to within TIR. RESULTS: An overall starting glucose value of 181-199, 200-224, 225-249, and 250-300 mg/dL required an estimated activity duration of 15, 31, 59, and ≥ 60 min, respectively, to have a 50 % chance of reducing glucose to be within target range, with a 0-11 % incidence of hypoglycemia in the hour after activity. Activity duration requirements increased irrespective of starting glucose levels when glucose was trending upwards before activity and with zero bolus insulin on board at the start of activity. Adult and adolescent results were similar. CONCLUSIONS: Time-limited activity is an effective means of restoring TIR when hyperglycemia exists in adolescents and adults with T1D.

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)0.005
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.141
GPT teacher head0.513
Teacher spread0.372 · 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

Citations8
Published2024
Admission routes1
Has abstractyes

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