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Record W4220787584 · doi:10.1007/s13300-022-01213-3

Effective Overall Glycaemic Control with Fast-Acting Insulin Aspart Across Patients with Different Baseline Characteristics: A Post Hoc Analysis of the Onset 9 Trial

2022· article· en· W4220787584 on OpenAlexaff
Wendy Lane, Elena Favaro, Esteban Jódar, Pranav Kelkar, Alejandra Oviedo, Ramsathish Sivarathinasami, Peter Senior, Giorgio Sesti, Edward Franek

Bibliographic record

VenueDiabetes Therapy · 2022
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsUniversity of Alberta
FundersSwedish Orphan BiovitrumDexcomNovo NordiskSanofiServierAmgenPfizerAstraZenecaDaiichi Sankyo EuropeEli Lilly and CompanyGlaxoSmithKline
KeywordsInsulin aspartMedicinePostprandialPost-hoc analysisInternal medicineType 2 diabetesInsulinDiabetes mellitusEndocrinology

Abstract

fetched live from OpenAlex

To investigate the efficacy and safety of fast-acting insulin aspart (faster aspart) compared with insulin aspart (IAsp) in participants with type 2 diabetes (T2D) across different subgroups. We report on a post hoc analysis of onset 9, a 16-week trial of participants with T2D randomised to faster aspart (n = 546) or IAsp (n = 545). Participants were grouped by baseline HbA1c (< 7.0%, ≥ 7.0%), meal test bolus insulin dose (≤ 10 units [U], > 10 U to ≤ 20 U, > 20 U), body mass index (< 30 kg/m2, ≥ 30 to < 35 kg/m2, ≥ 35 kg/m2), and age (< 65 years, ≥ 65 years). Outcomes assessed were change from baseline in HbA1c and in 1-h postprandial glucose (PPG) increment, and severe or blood glucose (BG)-confirmed hypoglycaemia. Faster aspart provided reductions in HbA1c comparable to IAsp across all subgroups, with improved 1-h PPG control compared with IAsp in several subgroups. Faster aspart had comparable or improved rates of severe or BG-confirmed hypoglycaemia versus IAsp, particularly in participants with good glycaemic control (HbA1c < 7.0%), the elderly (≥ 65 years old), and those with insulin resistance (> 20 U meal test bolus insulin dose). Faster aspart provides effective overall glycaemic control, with improved early PPG control compared with IAsp across a range of patient characteristics. NCT03268005. Fast-acting insulin aspart (faster aspart) is a type of insulin used at mealtimes to reduce the spike in blood sugar resulting from that meal. Faster aspart works in the body more quickly and more effectively than insulin aspart (IAsp), the previous version of this insulin. The properties of insulins in the body can change according to certain patient characteristics. In this study, the researchers wanted to find out if there were differences between various subgroups of patients in the effectiveness and safety of faster aspart compared with IAsp in the treatment of type 2 diabetes. Data were used from a clinical trial (onset 9), in which 546 patients were treated with faster aspart and 545 were treated with IAsp. Patients were grouped by baseline glycated haemoglobin (HbA1c), meal test actual bolus insulin dose, body mass index, and age. Faster aspart provided reductions in HbA1c comparable to IAsp across all subgroups, with improved glucose control 1 hour after a meal compared with IAsp, in several subgroups. Faster aspart had comparable or improved rates of hypoglycaemia versus IAsp, particularly in participants with good glucose control, the elderly (≥ 65 years old), and those with insulin resistance. In summary, the researchers found that faster aspart provides effective overall glucose control, with improved early mealtime glucose control compared with IAsp across patients with a range of baseline characteristics.

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)0.004
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.253
Teacher spread0.246 · 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 designNon-randomized trial
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
Published2022
Admission routes1
Has abstractyes

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