Postpartum Idiopathic Brachial Neuritis in a Sport Medicine Physician
Bibliographic record
Abstract
Idiopathic brachial neuritis is a distinctive condition that occurs most often in healthy individuals. It characteristically starts with an acute unilateral shoulder pain followed by a complex of symptoms, including weakness, paresthesias, and numbness. The cause of this syndrome is unknown and difficult to diagnose in the initial phase but may occur postsurgery, postinfection, posttrauma, or postvaccination. In this case, the patient's inciting event appeared to be a cesarean section. There was no trauma to the shoulder or upper extremity by way of positioning during the procedure. Several months after denervation of the supraspinatus and infraspinatus muscles, electromyography revealed some improvement. The diagnosis was made through a combination of clinical evaluation, ultrasound, magnetic resonance imaging, and electromyography. With the exception of weakness, this patient experienced few symptoms. Treatment is symptomatic including anti-inflammatories, opiates, and neuroleptics for pain. There is some evidence that immunotherapy may help decrease the length of symptoms, but there is no strong evidence to support steroid use. Physical therapy, the foundation of therapy in this case, is a useful adjunct for rehabilitation. In general, this condition has a good prognosis for recovery, although often slow, even when there is complete denervation. This patient made a full recovery and has no lingering symptoms.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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".