Effects of Canagliflozin in Patients with Baseline eGFR <30 ml/min per 1.73 m2
Bibliographic record
Abstract
Background and objectives The Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) trial demonstrated that the sodium glucose cotransporter 2 (SGLT2) inhibitor canagliflozin reduced the risk of kidney failure and cardiovascular events in participants with type 2 diabetes mellitus and CKD. Little is known about the use of SGLT2 inhibitors in patients with eGFR <30 ml/min per 1.73 m 2 . The participants in the CREDENCE study had type 2 diabetes mellitus, a urinary albumin-creatinine ratio >300–5000 mg/g, and an eGFR of 30 to <90 ml/min per 1.73 m 2 at screening. This post hoc analysis evaluated participants with eGFR <30 ml/min per 1.73 m 2 at randomization. Design, setting, participants, & measurements Effects of eGFR slope through week 130 were analyzed using a piecewise, linear, mixed-effects model. Efficacy was analyzed in the intention-to-treat population, on the basis of Cox proportional hazard models, and safety was analyzed in the on-treatment population. At randomization (an average of 29 days after screening), 174 of 4401 (4%) participants had an eGFR <30 ml/min per 1.73 m 2 (mean [SD] eGFR, 26 [3] ml/min per 1.73 m 2 ). Results From weeks 3 to 130, there was a 66% difference in the mean rate of eGFR decline with canagliflozin versus placebo (mean slopes, −1.30 versus −3.83 ml/min per 1.73 m 2 per year; difference, −2.54 ml/min per 1.73 m 2 per year; 95% confidence interval [CI], 0.90 to 4.17). Effects of canagliflozin on kidney, cardiovascular, and mortality outcomes were consistent for those with eGFR <30 and ≥30 ml/min per 1.73 m 2 (all P interaction >0.20). The estimate for kidney failure in participants with eGFR <30 ml/min per 1.73 m 2 (hazard ratio, 0.67; 95% CI, 0.35 to 1.27) was similar to those with eGFR ≥30 ml/min per 1.73 m 2 (hazard ratio, 0.70; 95% CI, 0.54 to 0.91; P interaction=0.80). There was no imbalance in the rate of kidney-related adverse events or AKI associated with canagliflozin between participants with eGFR <30 and ≥30 ml/min per 1.73 m 2 (all P interaction >0.12). Conclusions This post hoc analysis suggests canagliflozin slowed progression of kidney disease, without increasing AKI, even in participants with eGFR <30 ml/min per 1.73 m 2 .
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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) | 0.002 | 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".