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Record W4295907355 · doi:10.1111/dom.14871

Rationale and design of the phase 3a development programme ( <scp>ONWARDS</scp> 1–6 trials) investigating once‐weekly insulin icodec in diabetes

2022· article· en· W4295907355 on OpenAlexaff
Athena Philis‐Tsimikas, Harpreet S. Bajaj, Kamilla Begtrup, Roman Cailleteau, Amoolya Gowda, Ildiko Lingvay, Chantal Mathieu, David Russell‐Jones, Julio Rosenstock

Bibliographic record

VenueDiabetes Obesity and Metabolism · 2022
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsLMC Diabetes & Endocrinology (Canada)Mount Sinai Hospital
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNovo Nordisk
KeywordsDiabetes mellitusInsulinPhase (matter)MedicineInternal medicineEndocrinologyChemistry

Abstract

fetched live from OpenAlex

AIM: To describe the phase 3a ONWARDS clinical development programme investigating insulin icodec (icodec), a once-weekly basal insulin, including the design and rationale for each of the ONWARDS 1-6 trials. MATERIALS AND METHODS: Six randomized controlled trials have been initiated in adults with type 2 diabetes (T2D) (insulin-naive: ONWARDS 1, 3 and 5; previously insulin-treated: ONWARDS 2 and 4) and type 1 diabetes (T1D) (ONWARDS 6). Each trial will investigate icodec use in a unique clinical scenario, with consideration of long-term safety and varied comparator treatments (insulin glargine U100 or U300 or insulin degludec). ONWARDS 5 will incorporate real-world elements and a digital dose titration solution to guide icodec dosing. The primary objective for each of the trials is to compare the change in HbA1c from baseline to week 26 or week 52 between icodec and comparator arms. Secondary objectives include investigating other glycaemic control and safety parameters, such as fasting glucose, time in glycaemic range and hypoglycaemia. Patient-reported outcomes will assess treatment satisfaction. CONCLUSIONS: The ONWARDS 1-6 trials will evaluate the efficacy and safety of once-weekly icodec compared with currently available daily basal insulin analogues in T2D and T1D. These trials will generate comprehensive evidence of icodec use in diverse populations across the spectrum of diabetes progression and treatment experience.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.228
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.078
GPT teacher head0.304
Teacher spread0.226 · 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.

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

Citations76
Published2022
Admission routes1
Has abstractyes

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