Evidence for Increased Risk of Prediabetes in the Uremic Patient
Why this work is in the frame
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Bibliographic record
Abstract
A prediabetic state is defined as a higher than normal blood glucose level but not yet high enough to meet the diagnosis of overt diabetes mellitus. While patients with advanced diabetic nephropathy are vulnerable to hypoglycemia, we believe that there is sufficient evidence that uremic nondiabetic patients are susceptible to hyperglycemia, which calls for more attention that uremia is a prediabetic state. It is, therefore, intriguing to identify these uremic factors which lead to prediabetes. Such a study may have significance to improve uremic patients' outcomes. To raise the awareness of the uremic prediabetic state, this review will, therefore, elaborate on the analysis of factors important in the development of prediabetes in uremia and will delineate whether their modification leads to an improved patient outcome.
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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 | 0.008 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| 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 it