Improved treatment satisfaction with once-weekly insulin icodec compared with once-daily basal insulin in individuals with type 2 diabetes: An analysis of patient-reported outcomes and participant interviews from ONWARDS 2 and 5 and a physician survey from ONWARDS 1
Bibliographic record
Abstract
AIMS: The ONWARDS phase 3a clinical trials evaluated once-weekly insulin icodec (icodec) versus once-daily basal insulin in type 2 diabetes. This analysis investigated the treatment-related experiences of participants from ONWARDS 5 and 2, and physicians from ONWARDS 1. METHODS: Patient-reported outcomes were only collected during ONWARDS 5 (icodec with a dosing guide app vs. once-daily basal analogues) and 2 (icodec vs. once-daily insulin degludec). ONWARDS 1 (icodec vs. once-daily insulin glargine U100) physicians' treatment preferences and satisfaction were obtained via an online survey. RESULTS: In ONWARDS 5 and 2, there was a statistically significantly greater increase in total treatment satisfaction from baseline to end of treatment for icodec/icodec with app versus once-daily comparators, mostly driven by participants' willingness to continue and recommend treatment. In ONWARDS 2, 93.7 % of icodec users preferred once-weekly over once-daily basal insulin, mainly owing to less frequent injections and ease of use. ONWARDS 1 physicians reported greater satisfaction with once-weekly than with once-daily basal insulin and were more likely to recommend once-weekly injections. CONCLUSIONS: These results demonstrate improved treatment satisfaction with, and strong preferences for, once-weekly versus once-daily basal insulin. Treatment convenience and willingness to continue and recommend once-weekly basal insulin treatment were highlighted. CLINICAL TRIAL REGISTRATIONS: ONWARDS 1: NCT04460885; ONWARDS 2: NCT04770532; ONWARDS 5: NCT04760626.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".