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Record W4381377972 · doi:10.2337/db23-804-p

804-P: Similar Hypoglycemia Duration with Once-Weekly Icodec vs. Degludec or Glargine U100 in Insulin-Treated T2D—A Post Hoc CGM Analysis from ONWARDS 2 and 4

2023· article· en· W4381377972 on OpenAlexaff
Harpreet S. Bajaj, Björg Ásbjörnsdóttir, Lisbeth Carstensen, Lars Lang Lehrskov, Chantal Mathieu, Athena Philis‐Tsimikas, Tadej Battelino

Bibliographic record

VenueDiabetes · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsBrampton Civic Hospital
Fundersnot available
KeywordsInsulin degludecMedicineInsulin glargineHypoglycemiaInsulin aspartInternal medicineInsulinEndocrinologyBasal (medicine)

Abstract

fetched live from OpenAlex

Once weekly (OW) icodec is a basal insulin in development. Hypoglycemia duration during the switch (weeks 0-4) and steady state (weeks 22-26) periods from two phase 3, randomized, treat-to-target trials in T2D was investigated, using double-blinded Dexcom G6 CGM. Insulin-treated individuals were randomized to OW icodec or once-daily (OD) degludec (ONWARDS 2), or OW icodec or OD glargine U100 with mealtime insulin aspart (ONWARDS 4). When switching, a one-time only additional 50% icodec dose was administered. Basal insulins were titrated weekly. Median hypoglycemia <70 mg/dL duration for episodes lasting ≥ 15 minutes and the proportion of such episodes spent <54 mg/dL were assessed. Median duration of hypoglycemia <70 mg/dL was similar between icodec and comparators during switch and at steady state (Figure), with no apparent clustering in either time-period. At steady state (icodec/degludec and icodec/glargine U100), of the episodes <70 mg/dL, 66.6/63.9% and 60.4/60.0% spent no time <54 mg/dL; 23.2/26.6% and 29.2/28.8% included episodes <54 mg/dL for ≥15 minutes; and 10.2/9.5% and 10.4/11.2% included episodes <54 mg/dL for <15 minutes, respectively. In insulin-treated T2D, the duration of hypoglycemic episodes <70 mg/dL was similar, with no apparent clustering, during switch and at steady state for OW icodec versus OD degludec or glargine U100. Disclosure H.S.Bajaj: Research Support; Amgen Inc., AstraZeneca, Boehringer Ingelheim International GmbH, Anji Pharmaceuticals, Eli Lilly and Company, Kowa Company, Ltd., Novo Nordisk, Pfizer Inc., Sanofi, Tricida, Inc. B.Ásbjörnsdóttir: Employee; Novo Nordisk. L.Carstensen: Employee; Novo Nordisk A/S, Stock/Shareholder; Novo Nordisk A/S. L.Lang lehrskov: Employee; Novo Nordisk A/S, Stock/Shareholder; Novo Nordisk A/S. C.Mathieu: Advisory Panel; Novo Nordisk A/S, Boehringer Ingelheim Inc., Eli Lilly and Company, Medtronic, Vertex Pharmaceuticals Incorporated, Roche Diabetes Care, Imcyse, Speaker's Bureau; Novo Nordisk A/S, AstraZeneca, Boehringer Ingelheim Inc., Eli Lilly and Company, Medtronic, Vertex Pharmaceuticals Incorporated. A.Philis-tsimikas: Advisory Panel; Dexcom, Inc., Novo Nordisk A/S, Sanofi, Other Relationship; Medtronic, Research Support; Novo Nordisk A/S, Lilly, Viking Therapeutics, NIH - National Institutes of Health. T.Battelino: Advisory Panel; Eli Lilly and Company, Novo Nordisk, Sanofi, Medtronic, Abbott Diabetes, Consultant; Indigo Diabetes, Research Support; Novo Nordisk, Sanofi, Medtronic, Novartis, Speaker's Bureau; Eli Lilly and Company, Novo Nordisk, Sanofi, Medtronic, Abbott Diabetes, Dexcom, Inc. Funding Novo Nordisk A/S

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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.016
GPT teacher head0.270
Teacher spread0.254 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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