Parsonage-Turner Syndrome Initially Suspected of Being Orthopedic Diseases in a Primary Care Setting: A Case Report
Bibliographic record
Abstract
Parsonage-Turner syndrome (PTS), also known as neuralgic amyotrophy or brachial neuritis, consists of a complex set of symptoms including sudden onset shoulder pain, usually unilaterally, followed by progressive neurologic deficits such as motor weakness, dysesthesia and numbness. We report a case of a 45-year-old Japanese man with PTS, who was initially suspected of having orthopedic diseases, such as cervical spondylosis and suprascapular nerve entrapment syndrome. The patient presented with acute-onset severe pain in his right arm and neck, followed by muscle weakness. We diagnosed PTS by taking a detailed medical history, ruling out other differential diagnoses, and by considering the characteristic clinical symptoms and the denervation pattern identified by needle electromyography. High-dose corticosteroid therapy prednisolone (PSL) relieved the initial sharp pain and oral amitriptyline successfully relieved the residual nighttime pain. Doses of PSL and amitriptyline were tapered, pain was alleviated, and the patient returned to full-time work after discharge in one-and-a-half years. For prompt diagnosis, physicians should consider the possibility of PTS in patients with acute onset of severe arm pain or subsequent muscle weakness and muscle atrophy in the arm or shoulder girdle. J Med Cases. 2014;5(4):197-201 doi: http://dx.doi.org/10.14740/jmc1696w
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".