Chronic kidney disease among Aboriginal people living in Canada
Bibliographic record
Abstract
AIMS: Chronic kidney disease (CKD) poses a significant health burden on Aboriginal communities around the world. High rates of diabetes among Aboriginal Canadians are an important contributing factor to the rising rates of CKD in this population, and diabetes has been the leading cause of kidney failure among Aboriginal patients initiating dialysis in Canada for the last decade. This paper will describe access to, quality of, and outcomes associated with the renal care of Aboriginal people living in Canada. RESULTS: Research shows that rates of CKD are higher among Aboriginal people residing in Canada, and that despite remote residence location, use of peritoneal dialysis is substantially lower than in white patients. Similarly, although mortality rates among Canadian hemodialysis patients are similar for Aboriginals and for whites, Aboriginal patients have substantially reduced access to kidney transplantation. CONCLUSIONS: A concerted effort to lower rates of CKD in this population is needed. Changes in healthcare policy that successfully translate into healthcare provider and patient level improvements in access to and the quality of care will be needed to significantly reduce the risk of CKD and progression to kidney failure.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".