Impact of Age and Estimated Glomerular Filtration Rate on the Glycemic Efficacy and Safety of Canagliflozin: A Pooled Analysis of Clinical Studies
Bibliographic record
Abstract
OBJECTIVE: Reduced efficacy has been reported in the elderly; it may be a consequence of an age-dependent decline in estimated glomerular filtration rate (eGFR) rather than ageing per se. We sought to determine the impact of these 2 parameters, as well as sex and baseline body mass index (BMI), on the efficacy and safety of canagliflozin, a sodium glucose co-transporter 2 inhibitor, in people with type 2 diabetes. METHODS: Data were pooled from 6 randomized, double-blind, placebo-controlled studies (18 or 26 weeks; N=4053). Changes in glycated hemoglobin (A1C) and systolic blood pressure (BP) from baseline with canagliflozin 100 mg and 300 mg and placebo were evaluated in subgroups by sex, baseline BMI, baseline age and baseline eGFR. Safety was assessed by reports of adverse events. RESULTS: Placebo-subtracted reductions in A1C with canagliflozin 100 mg and 300 mg were similar in men and women. A1C reductions with canagliflozin were seen across BMI subgroups and in participants aged <65 years and ≥65 years. Significantly greater placebo-subtracted reductions in A1C were seen with both canagliflozin doses in participants with higher baseline eGFR (≥90 mL/min/1.73 m(2)). Reductions in systolic BP were seen with canagliflozin across subgroups of sex, BMI, age and eGFR. A1C reductions with canagliflozin were similar for participants aged <65 or ≥65 years who had baseline eGFR ≥60 mL/min/1.73 m(2) and were smaller in older than in younger participants with baseline eGFR 45 to <60 mL/min/1.73 m(2). The overall incidence of adverse events was similar across treatment groups regardless of sex, baseline BMI, baseline age or baseline eGFR. CONCLUSIONS: Canagliflozin improved glycemic control, reduced BP and was generally well tolerated in people with type 2 diabetes across a range of ages, BMIs and renal functions.
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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 | 0.047 | 0.055 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.029 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".