Sural Nerve Sorbitol in Patients With Diabetic Sensorimotor Polyneuropathy
Bibliographic record
Abstract
OBJECTIVE: Nerve sorbitol levels have been measured in sural nerve biopsy samples from patients with diabetic sensorimotor polyneuropathy in several studies using different methods and measurement units. In this study, we compared the results of sorbitol assays to determine the required sensitivity of analytical methods for nerve sorbitol measurements. RESEARCH DESIGN AND METHODS: We performed a literature search using PaperChase for reports of nerve sorbitol in diabetic patients and selected those with nerve conduction studies to delineate the severity of nerve damage. RESULTS: In patients who had undergone a nerve conduction study, the standardized nerve sorbitol levels were 0.034-0.300 nmol/mg wet nerve. CONCLUSIONS: Our results showed the level of sensitivity required in laboratory methodology to perform this assay in the target population and aid in the planning of clinical research trials of aldose reductase inhibitor agents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".