The Canadian ACE-inhibitor trial to improve renal outcomes and patient survival in kidney transplantation study design
Bibliographic record
Abstract
BACKGROUND: In non-transplant patients with chronic kidney disease and proteinuria, inhibition of the renin-angiotensin system with an ACE-inhibitor or an angiotensin receptor blocker has been shown to delay the progression of renal disease. Observational studies in the kidney transplant population have produced conflicting results with some studies showing benefit and others no benefit of renin-angiotensin system blockade. METHODS: This report describes the design and methodological issues of a randomized controlled trial evaluating the effect of ramipril in a renal transplant population. This study has been funded by a peer-reviewed grant from the Canadian Institutes of Health Research and is registered on the International Standard Randomised Controlled Trial Number Registry (ISRCTN-78129473). RESULTS: The study will randomize 528 kidney transplant patients (11 Canadian centers) with proteinuria and an estimated GFR between 20 and 55 ml/min/1.73 m(2) to either ramipril (5 mg BID) or placebo. Patients, clinical staff and investigators will be blinded to treatment allocation. The primary outcome will be a composite measure incorporating doubling of serum creatinine, end stage renal disease or death. Principal secondary outcomes include: decline in GFR using a radioisotopic method, change in proteinuria, change in blood pressure, incidence of adverse events (e.g. hyperkalemia, anemia), incidence of cardiovascular events and health-related quality of life assessed by the Short Form-36 and the EuroQol-5D. CONCLUSIONS: Upon completion, this trial will provide clinically meaningful evidence about whether treatment with an ACE-inhibitor will reduce patient mortality and prolong allograft survival in renal transplant recipients.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".