Effect of shoulder and elbow position on ulnar nerve conduction
Bibliographic record
Abstract
INTRODUCTION: The aims of this study were to determine the effect of shoulder and elbow position on ulnar nerve conduction studies (NCS), and the length of reserve that asymptomatic individuals have in their ulnar nerves. METHODS: Healthy subjects (n = 22) underwent ulnar NCS in 4 positions of shoulder abduction and elbow flexion. RESULTS: The mean increase in nerve conduction velocity (NCV) from the slack position of shoulder adducted and elbow extended to the stretch position of shoulder abducted and elbow flexed was 2.9 m/s (P < 0.01). Using this difference, the mean length of reserve in the ulnar nerve along the limb was found to be 28.3 (SD=13.8) mm. Shoulder abduction increased the mean NCV 0.8 m/s (P = 0.03) independent of elbow flexion. CONCLUSIONS: This study demonstrates an ulnar nerve reserve in healthy patients that is taken up with shoulder abduction and elbow flexion and suggests shoulder position should be standardized during ulnar NCS. Muscle Nerve, 2019.
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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 | 0.000 | 0.002 |
| 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) | 0.004 | 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 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".