Efficacy and safety of canagliflozin by baseline HbA1c and known duration of type 2 diabetes mellitus
Bibliographic record
Abstract
AIMS: Canagliflozin, a sodium glucose co-transporter 2 inhibitor, has demonstrated glycemic improvements across studies of patients with type 2 diabetes mellitus (T2DM). The impact of canagliflozin on HbA1c lowering was assessed by baseline HbA1c and known duration of T2DM. METHODS: This post hoc analysis pooled data from patients with T2DM enrolled in four 26-week, placebo-controlled, Phase 3 studies of canagliflozin (N=2313). Change in HbA1c from baseline to Week 26 was assessed in the overall population and in subgroups by baseline HbA1c (<8.0%, 8.0%-<9.0%, and ≥9.0%) and known duration of T2DM (<5 years, 5-<10 years, and ≥10 years). RESULTS: Relative to placebo, canagliflozin 100 and 300 mg provided greater HbA1c reductions in the overall population. Progressively larger placebo-subtracted reductions in HbA1c with canagliflozin 100 and 300 mg were seen with increasing baseline HbA1c. HbA1c reductions were similar across subgroups based on known duration of T2DM. Both canagliflozin doses were generally well tolerated across subgroups, with a safety and tolerability profile consistent with that seen in Phase 3 studies. CONCLUSIONS: Canagliflozin provided glycemic improvements in patients with T2DM across a range of baseline HbA1c and known duration of T2DM.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".