Single-fiber conduction study of motor nerve in patients with diabetic peripheral neuropathy
Bibliographic record
Abstract
Objective To assess the function of motor nerve fiber in patients with diabetic peripheral neuropathy (DPN) by single-fiber conduction studies. Methods According to the diagnostic standard of DPN issued in Toronto meeting in 2009, on the basis of the result of peroneal nerve conventional conduction study, a total of 65 patients with DPN in the Department of Endocrinology and the Department of Neurology of Tianjin Third Central Hospital from October 2012 to October 2013 were enrolled into the study, from whom 33 had abnormal sensory conduction (sensory-diabetic peripheral neuropathy group, S-DPN group), 32 had abnormal sensory motor conduction (sensory motor-diabetic peripheral neuropathy group, SM-DPN group). Single-fiber conduction velocity (SF-CV) and single-fiber distal motor latency (SF-DML) were detected in all subjects. The obtained results were compared with the data from 34 healthy volunteers (control group). The relationship of SF-CV, SF-DML and the duration of diabetes mellitus, fasting glucose, HbA1c was also studied in DPN patients. Results The SF-CV ((43.1±3.6) m/s) was decreased in S-DPN group compared with control group((47.5±3.3) m/s, t=5.077, P<0.01). There were no significant differences in SF-DML ((3.6±0.7) ms), motor nerve conduction velocity (MCV (49.5±2.6)m/s)and DML ((3.4±0.6) ms) in S-DPN group compared with that of control group ((3.4±0.5) ms, (50.9±3.5) m/s, (3.2±0.5) ms, respectively). SM-DPN group had lower SF-CV ((35.2±3.6) m/s, t=9.119, 14.219), MCV ((40.9±3.2) m/s, t=11.131, 13.025) and increased SF-DML ((4.5±0.7) ms, t=5.692, 7.231), DML ((4.2±0.7) ms, t=5.561, 6.975) compared with the other two groups (P<0.01). SF-CV in DPN patients was negatively related to the diabetic duration (r=-0.340, P=0.006), while SF-DML had no correlation with duration of DM, fasting blood glucose and HbAlc. Conclusions Detection of SF-CV is easy to find early motor nerve dysfunction in DPN patients. SF-CV is decreased with the increasing duration of diabetes. Key words: Diabetic neuropathies; Motor neurons; Nerve fibers; Neural conduction
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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 | 0.000 | 0.000 |
| 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".