Dapagliflozin in patients with type 2 diabetes receiving high doses of insulin: efficacy and safety over 2 years
Bibliographic record
Abstract
AIMS: Dapagliflozin, a selective inhibitor of sodium-glucose cotransporter 2 (SGLT2), has been shown to improve glycaemic control, stabilize insulin dosing and mitigate insulin-associated weight gain over 48 weeks in patients whose type 2 diabetes mellitus (T2DM) was inadequately controlled despite high doses of insulin. Here the efficacy and safety of dapagliflozin therapy after a total of 104 weeks are evaluated in this population. METHODS: This was a 24-week, randomized, placebo-controlled, double-blinded, multicentre trial followed by two site- and patient-blinded extension periods of 24 and 56 weeks (NCT00673231), respectively. A total of 808 patients, whose T2DM was inadequately controlled on insulin ≥30 IU/day, with or without up to two oral antidiabetic drugs, were randomly assigned to receive placebo or 2.5, 5 or 10 mg/day of dapagliflozin for 104 weeks. At 48 weeks, patients on dapagliflozin 5 mg were switched to 10 mg. Outcomes over 104 weeks included change from baseline in HbA1c, insulin dose and body weight; analyses used observed cases and included data after insulin up-titration. Adverse events (AEs) were evaluated throughout 104 weeks. RESULTS: Five hundred and thirteen patients (63.6%) completed the study. Mean HbA1c changes from baseline at 104 weeks were -0.4% in the placebo group and -0.6 to -0.8% in the dapagliflozin groups. In the placebo group, mean insulin dose increased by 18.3 IU/day and weight increased by 1.8 kg at 104 weeks, whereas in the dapagliflozin groups, insulin dose was stable and weight decreased by 0.9-1.4 kg. AEs, including hypoglycaemia, were balanced across groups. Proportions of patients with events suggestive of genital infection and of urinary tract infection (UTI) were higher with dapagliflozin versus placebo (genital infection 7.4-14.3% vs. 3.0%; UTI 8.4-13.8% vs. 5.6%) but most occurred in the first 24 weeks and most were single episodes that responded to routine management. CONCLUSIONS: Dapagliflozin improved glycaemic control, stabilized insulin dosing and reduced weight without increasing major hypoglycaemic episodes over 104 weeks in patients whose T2DM was inadequately controlled on insulin. However, rates of genital infection and of UTI were elevated with dapagliflozin therapy.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".