Evaluation on the Value of the Clinical Diagnosis Methods for Diabetic Peripheral Neuropathy
Bibliographic record
Abstract
Objective: To assess the efficacy of Toronto clinical scoring system(TCSS),Michigan neuropathy screening instrument(MNSI) and neuropathy symptom score/neuropathy disability score(NSS/NDS) in the diagnosis of diabetic peripheral neuropathy.Method: Using the results of the specificity,sensitivity,Youden index,value of Kappar,the ROC curve and accuracy of the examinations were analyzed.Results: TCSS or MNSI had a higher consistency with the nerve conduction velocity examination(P0.05)than NSS/NDS(P0.01).TCSS or MNSI had a higher accuracy(Az=0.829 or 0.793),but NSS/NDS had a lower accuracy(Az=0.563).NSS/NDS does not apply to clinical DPN screening and diagnosis,MNSI suitable for outpatient service inspection,TCSS suitable for hospitalized patients.
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How this classification was reachedexpand
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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".