Survival of End‐Stage Renal Disease Diabetic Patients on Hemodialysis
Bibliographic record
Abstract
Purpose: To analyze survival and causes of mortality in end‐stage renal disease (ESRD) diabetic patients treated by hemodialysis. Methods: Data of 1203 ESRD hemodialyzed patients between 1975 and 2002 were analyzed, 116 patients were excluded and 1087 patients included in the study. We studied the prevalence of the diabetic nephropathy, the rate of survival and causes of death by comparing diabetic patients with a control group of patients without diabetes. Results: Among the 1087 patients requiring dialysis, 272 (25%) were diabetic and 815 non‐diabetic whose causal nephropathy was nephroangiosclerosis 32%, glomerulonephritis 15%, chronic interstitial nephropathy 14%, and others 14%. The diabetics were older at the beginning of dialysis than non‐diabetic patients: 60.33 ± 11.39 years vs. 52.23 ± 17.20 years, p < 0.001. Average time on dialysis is more important in non‐diabetic than diabetic group [5.90 ± 5.73 years vs. 2.71. ± 2.48 years, p < 0.001]. The rate of death was higher in diabetics than in control group [71.7% vs. 55.8%, respectively, p < 0.003]. The difference in survival between the two groups remains significant for the same age. Death caused by cardiovascular disorders is higher in diabetics (68.8%) than non‐diabetics (31.2%) (p < 0.05). Among death causes, stroke is the most frequent cause in diabetics (18.4% vs. 11.6%) in non‐diabetics, p < 0.05. Death by heart failure and infections is higher in diabetics but the difference is not statistically significant (12.3% in diabetics vs. 9.4% in non‐diabetics for heart failure and 13.8% vs. 11.4% for infections). Death due to neoplasms is higher in non‐diabetics (4.39% vs. 1.02% in diabetics, p < 0.05). Conclusion: In our cohort, mortality in diabetic patients is higher than in non‐diabetic patients. Cardio‐vascular disorders are the most cause of death in diabetics and above all stroke, whereas mortality due to neoplasms is higher in non‐diabetic patients. Diabetes is an important risk factor of mortality in hemodialysis patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".