Point-of-care Ultrasound for Diagnosis and Management of Chronic Inflammatory Monoarthropathy of the Shoulder after Combined Influenza and COVID-19 Vaccination: A Case Report
Bibliographic record
Abstract
Shoulder injury related to vaccine administration (SIRVA) is a rare but preventable injury, resulting in severe shoulder pain. It is thought to be due to improper needle placement into the surrounding shoulder structures and can result in serious and debilitating injury. This case report describes a patient who developed a rare case of chronic inflammatory nonseptic monoarthropathy after combined influenza and COVID-19 vaccination. The diagnosis was suspected using point-of-care ultrasound, with findings of cortical erosions of the humeral head, which was confirmed with magnetic resonance imaging. After a primary autoimmune condition was excluded, the patient underwent ultrasound-guided intra-articular corticosteroid injection of the shoulder, which provided good pain relief. The role of ultrasound has not been reported in SIRVA-related conditions. Point-of-care ultrasound can potentially be useful in the evaluation and management of SIRVA-related shoulder pathologies.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".