Increasing Rates of Kidney Failure Care in Canada Strains Demand for Kidney Donors
Bibliographic record
Abstract
The number of patients with kidney failure is on the rise in Canada, leading to a higher need for dialysis treatment and greater demand for kidney transplants, which have superior patient outcomes and lower healthcare system costs than dialysis treatments. This study examines the incidence and prevalence of kidney failure and renal replacement therapies between 2005 and 2014. The number of patients on dialysis has increased by 31% over this decade. The number of annual kidney transplants performed has also increased along with the waiting list for a kidney transplant, resulting in a persistent 2.5 times gap between patients on a waiting list for a kidney and the number of kidney transplants performed. New programs to increase organ donation to kidney failure patients have led to improvements, but have not been able to close this gap. Continued innovations are needed to preserve kidney function for patients with chronic kidney disease and to promote and increase donation rates in Canada to improve the quality of life and survival of thousands of patients, as well as save hundreds of millions of dollars to healthcare systems in Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".