The Physiatrist’s Guide to Cyclist Palsy
Bibliographic record
Abstract
Abstract: Ulnar neuropathy at the wrist is a common consequence of long-duration cycling, a condition termed “cyclist palsy.” Although cyclist palsy has been clinically well described in the literature, a gap exists regarding its electrodiagnostic evaluation and management. Patients with cyclist palsy present with a wide variety of sensory or motor impairments, depending on the location of the lesion. Electrodiagnostic studies are essential for accurate localization, with studies suggesting that pure motor lesions sparing the hypothenar muscles are most common among cyclists. This article aims to provide the electromyographer and physiatrist with a clinical approach to cyclist palsy and management strategies, including patient education, equipment changes, and alterations to bicycle fit. To Claim CME Credits Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME CME Objectives At the conclusion of this educational module, participants will be able to: (1) Describe the possible clinical presentations of Cyclist Palsy based on Ulnar nerve anatomy in the wrist and hand; (2) State the cycling-related risk factors for Cyclist Palsy; and (3) Outline the principles in management for Cyclist Palsy. Level Advanced Accreditation The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s) ™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".