[Specifics of diabetic nephropathy, viewpoint in diabetology: trends of diabetic nephropathy in diabetes].
Bibliographic record
Abstract
The evolution of diabetic nephropathy has been studied by Peter Rossing on a cohort of diabetic patients followed at the Steno hospital of Copenhagen during more than 20 years. In the diabetics of type 1, existence of albuminuria at the upper threshold of the normal range, male gender, high blood pressure and poor glycemic control with a very high HbAlc are the main predictive factors of nephropathy evolution. In this population, nephropathy clearly increases the risks of mortality and cardiovascular morbidity. However, the comparison with older studies showed that better control of glycemia, blood pressure and cholesterol, reduction of tobacco consumption and improvement of proteinuria due to antihypertensive treatments, were able to sharply decrease mortality and cardiovascular morbidity with a relative risk reduction of 60%. In type 2 diabetics, besides factors observed in type 1 diabetic patients, the presence of anemia is a predictive criterion of nephropathy progression. In these patients, prevention keys lie not only in the control of glycemia and blood pressure as in type 1 diabetics, but also in that of anemia.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".