A novel approach to basal-bolus insulin initiation in adults with newly diagnosed type 1 diabetes: an observational cohort study of a service redesign
Bibliographic record
Abstract
Aims: The National Institute for Health and Care Excellence (NICE) recommendation for insulin in newly diagnosed type 1 diabetes is a ‘basal-bolus’ regimen of prandial insulin with twice-daily basal insulin initiated at diagnosis. We developed an insulin initiation programme that embraces the contribution of endogenous insulin to glycaemic control in adults newly diagnosed with type 1 diabetes. Our aim was to embed carbohydrate counting skills and dose adjustment very early on to mitigate against the decline in glycaemic control that is commonly seen post honeymoon.Methods: We designed a novel insulin initiation programme that focused initially on prandial insulin replacement using the lowest possible dose of basal insulin. The approach also facilitates carbohydrate counting and bolus insulin dose adjustment behaviours from diagnosis.Results: Prior to implementing the new programme, the mean HbA1c at 12 months was 64 mmol/mol (8.0%) (95% CI 60 to 69 (7.6% to 8.4%)). This reduced to 55 mmol/mol (7.1%) (95% CI 51 to 58 (6.9% to 7.4%)), p<0.001 with the new programme. The improved HbA1c persisted to 3 years of follow-up (p<0.001). There were no episodes of diabetic ketoacidosis or severe hypoglycaemia associated with this novel approach.Conclusions: We suggest that using minimal basal insulin and focusing on prandial bolus insulin replacement in adults newly diagnosed with type 1 diabetes is safe, more physiological and may be better able to achieve lasting glycaemic control than the currently proposed national guidelines. This approach will need to be tested formally in an adequately designed randomised controlled clinical trial.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".