Rationale and design of the Renal Lifecycle trial assessing the effect of dapagliflozin on cardiorenal outcomes in severe chronic kidney disease
Bibliographic record
Abstract
BACKGROUND: Several clinical trials have shown beneficial effects of sodium-glucose co-transporter 2 (SGLT2) inhibitors on kidney disease progression and cardiovascular morbidity and mortality in patients with chronic kidney disease (CKD) with and without type 2 diabetes mellitus. However, some subgroups of patients with CKD have been excluded from participation in these trials, such as patients with severely impaired kidney function, patients on dialysis and kidney transplant recipients. METHODS: The Renal Lifecycle trial (NCT05374291) is a pragmatic, international, multicentre, investigator-initiated, randomized, placebo-controlled clinical trial planned to enrol ≈1500 patients with an estimated glomerular filtration rate (eGFR) ≤25 ml/min/1.73 m2, on haemodialysis or peritoneal dialysis or after a kidney transplant and an eGFR ≤45 ml/min/1.73 m2, who will be randomized 1:1 to receive either dapagliflozin 10 mg once daily or matching placebo. RESULTS: The primary endpoint is a composite of heart failure hospitalization, all-cause mortality or, for those not on dialysis, kidney failure (start of dialysis >1 month, receiving a kidney transplant or death due to kidney failure). The trial is event driven, indicating that it will end after 468 first primary endpoint events have occurred, with a power of 80% and an α of 0.05 to detect a 25% relative risk reduction assuming an annual 12.5% incidence of the primary outcome. The secondary endpoints include a separate analysis of the incidence of each component of the primary endpoint in the overall trial population as well as the incidence of the combined primary endpoint in each of the three subgroups of patients. Other (exploratory) endpoints are efficacy, safety, tolerability, health-related quality of life and cognition. CONCLUSION: The Renal Lifecycle trial aims to investigate the effects of the SGLT2 inhibitor dapagliflozin compared with placebo on the incidence of kidney failure, heart failure, mortality and safety in three subgroups of patients with advanced CKD.
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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 | 0.081 | 0.061 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".