Efficacy and Safety of Canagliflozin in Patients with Type 2 Diabetes and Stage 3 Nephropathy
Bibliographic record
Abstract
<b><i>Background/Aims:</i></b> Some sodium glucose co-transporter 2 (SGLT2) inhibitors are approved for the treatment of patients with type 2 diabetes mellitus (T2DM) with an estimated glomerular filtration rate (eGFR) of ≥45 ml/min/1.73 m<sup>2</sup>. The efficacy and safety of canagliflozin, an approved SGLT2 inhibitor, was evaluated in patients with stage 3 chronic kidney disease (CKD; eGFR ≥30 to <60 ml/min/1.73 m<sup>2</sup>). <b><i>Methods:</i></b> This analysis used integrated data from four randomized, placebo-controlled, phase 3 studies that enrolled patients with T2DM and stage 3 CKD. Results are presented for the overall population as well as subgroups with stage 3a CKD (eGFR ≥45 and <60 ml/min/1.73 m<sup>2</sup>) and stage 3b CKD (eGFR ≥30 and <45 ml/min/1.73 m<sup>2</sup>). <b><i>Results:</i></b> Among all subjects studied with stage 3 CKD, placebo-subtracted reductions in HbA<sub>1c</sub> (-0.38 and -0.47%; p < 0.001), body weight (-1.6 and -1.9%; p < 0.001), and systolic blood pressure (-2.8 and -4.4 mm Hg; p < 0.01) were seen with canagliflozin 100 and 300 mg, respectively. Decreases in HbA<sub>1c</sub>, body weight, and systolic blood pressure were examined in the stage 3a and 3b CKD subgroups, with greater decreases in HbA<sub>1c</sub>, -0.47% (-0.61, -0.32) and body weight in subjects in stage 3a CKD, -1.8% (-2.3, -1.2) with canagliflozin 100 mg. Initial declines in eGFR were seen early following treatment initiation with canagliflozin, but trended towards baseline over time. The most common adverse events with canagliflozin included genital mycotic infections and adverse events related to reduced intravascular volume likely secondary to osmotic diuresis. <b><i>Conclusion:</i></b> In subjects<b> </b>with T2DM and stage 3 CKD, canagliflozin reduced HbA<sub>1c</sub>, body weight, and blood pressure, and was generally well tolerated.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| 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".