Characteristics of End-Stage Kidney Disease in a Cohort of Indigenous and Non-Indigenous Adults in Northwestern Ontario, Canada
Bibliographic record
Abstract
Background: In Canada, the prevalence of chronic kidney disease is two-fold higher among Indigenous than non-Indigenous people. Direct comparisons of clinical characteristics between Indigenous and nonIndigenous end-stage kidney disease (ESKD) patients have not been previously conducted. We compared demographic and clinical characteristics of Indigenous and non-Indigenous adults with ESKD receiving dialysis at the primary hospital serving a region with 20% Indigenous population. Methods: During 4 years, 186 adults with ESKD were recruited for a clinical trial to analyze the response to pneumococcal immunization. Demographic and clinical data, including age, sex, residency, dialysis characteristics, etiology for chronic kidney disease, comorbidities, history of infections and prior pneumococcal immunization were compared between 91 Indigenous and 94 non-Indigenous individuals.
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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 | 0.001 | 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".