Once‐weekly insulin icodec compared with daily basal insulin analogues in type 2 diabetes: Participant‐level meta‐analysis of the <scp>ONWARDS</scp> 1–5 trials
Bibliographic record
Abstract
AIM: To perform a participant-level post hoc meta-analysis of Phase 3a trials in type 2 diabetes (T2D) to characterize the hypoglycaemia safety and glycaemic efficacy of once-weekly insulin icodec (icodec). MATERIALS AND METHODS: All ONWARDS 1-5 randomized participants were pooled as overall T2D, insulin-naive, an insulin-experienced subgroups, and by once-daily trial comparator (degludec or glargine U100). The main outcomes included incidence and rates of clinically significant and severe hypoglycaemia. Additional endpoints included change in glycated haemoglobin (HbA1c) from baseline and HbA1c target achievement without clinically significant or severe hypoglycaemia. RESULTS: The meta-analysis comprised 3765 participants (1882 icodec vs. 1883 comparators). In the overall T2D pool, clinically significant hypoglycaemia incidence was similar in the icodec group versus the comparator group (17.9% vs. 16.2%, odds ratio [OR] 1.14, 95% confidence interval [CI] 0.94, 1.38); however, rates were low but significantly higher in the icodec group (1.15 vs. 1.00 episodes/participant-year of exposure, estimated rate ratio 1.51 [95% CI 1.24, 1.85]). Fewer severe hypoglycaemic episodes occurred with icodec than with comparators (8 vs. 18). A greater reduction in HbA1c occurred with icodec versus comparators, irrespective of subgroup (estimated treatment difference range [-0.10 to -0.29%]; all p < 0.05). Across subgroups, except for the insulin-experienced subgroup, the odds of achieving HbA1c <53 mmol/mol (7.0%) without clinically significant or severe hypoglycaemia were greater with icodec than with comparators (OR range 1.30-1.55; all p < 0.05). CONCLUSIONS: Icodec was associated with a similar incidence but higher rates of clinically significant hypoglycaemia (equating to one additional hypoglycaemic episode every 6 years) and fewer severe hypoglycaemic episodes versus comparators. Our findings also confirmed the greater efficacy of icodec that was demonstrated in the ONWARDS trial programme.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.036 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".