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Record W4367674402 · doi:10.1055/s-0043-1768000

Continuous glucose monitoring in insulin-experienced individuals with type 2 diabetes switched to once-weekly insulin icodec versus once-daily comparators in ONWARDS 2 and 4: post-hoc analysis

2023· article· en· W4367674402 on OpenAlexaff
Monika Kellerer, Harpreet S. Bajaj, Björg Ásbjörnsdóttir, Lars Lang Lehrskov, Chantal Mathieu, Athena Philis‐Tsimikas, Ni Wang, Tadej Battelino

Bibliographic record

VenueDiabetologie und Stoffwechsel · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsLMC Diabetes & Endocrinology (Canada)Mount Sinai Hospital
Fundersnot available
KeywordsBasal insulinType 2 diabetesMedicineInsulinContinuous glucose monitoringPost-hoc analysisBasal (medicine)Internal medicineDiabetes mellitusEndocrinologyType 1 diabetes

Abstract

fetched live from OpenAlex

Background and aims Insulin icodec (icodec) is a once-weekly basal insulin under clinical development. Here, we investigated time in, above, and below range (TIR, TAR, TBR) using continuous glucose monitoring (CGM) data during the switch period (weeks 0–4) and steady state (weeks 22–26) from two phase 3, randomized, treat-to-target trials in type 2 diabetes (T2D).

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)0.001
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.008
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.043
GPT teacher head0.348
Teacher spread0.304 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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