Type 2 diabetes in patients with end‐stage kidney disease: influence on cardiovascular disease‐related mortality risk
Bibliographic record
Abstract
OBJECTIVES: To examine the association between type 2 diabetes mellitus, with and without diabetic nephropathy, and cardiovascular disease-related mortality in dialysis-dependent patients with end-stage kidney disease (ESKD); to determine whether this association is affected by the age of the patient. DESIGN, SETTING, PARTICIPANTS: Prospective population cohort analysis of Australia and New Zealand Dialysis and Transplant Registry data for all patients with incident ESKD who commenced dialysis in Australia or New Zealand during 1980-2014. OUTCOME MEASURES: Primary outcome: cardiovascular disease-related mortality; secondary outcome: all-cause mortality. RESULTS: Of 56 552 patients followed for a median 2.5 years (total, 193 549 person-years), 15 829 (28.0%) had type 2 diabetes and diabetic nephropathy; 4993 (8.8%) had type 2 diabetes and non-diabetic nephropathy. Cardiovascular disease-related mortality during the first 10 years of dialysis was significantly higher for patients with diabetes/diabetic nephropathy (277 deaths per 1000 patients; 95% CI, 270-284) or diabetes/non-diabetic nephropathy (220 deaths per 1000 patients; 95% CI, 208-231) than for patients without type 2 diabetes (136 deaths per 1000 patients; 95% CI, 133-140). The risk of cardiovascular disease-related mortality was greater for patients with diabetes/diabetic nephropathy (adjusted hazard ratio [aHR], 1.63; 95% CI, 1.56-1.72) or diabetes/non-diabetic nephropathy (aHR, 1.31; 95% CI, 1.23-1.41) than for patients without diabetes. The excess risk associated with having diabetes was greater for younger than for older patients. CONCLUSIONS: Mortality risk is higher for patients with incident ESKD commencing dialysis who also have type 2 diabetes than for patients without diabetes, particularly among patients under 50 years of age, and the risk was more pronounced in patients for whom ESKD was attributed to diabetic nephropathy.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".