Paget-Schroetter Syndrome in a Patient With Posterior Shoulder Subluxation: A Case Report
Bibliographic record
Abstract
ABSTRACT: Paget-Schroetter syndrome describes a primary thrombosis of the subclavian vein induced by effort. In most cases, the clinical presentation includes painful swelling, discoloration, and visible collateral circulation in the arm. Paget-Schroetter syndrome is treated with anticoagulation, rest, and physical therapy. In certain cases, invasive treatment such as thrombolysis and decompression surgery (first rib resection) may be necessary. We present the case of a 28-year-old healthy male patient with effort-induced deep vein thrombosis of the upper extremity after posterior shoulder subluxation. Anticoagulation, rest, and physical therapy were used to treat the patient, who became asymptomatic and was able to resume normal activities without restriction. To our knowledge, this is the first case of effort-induced upper extremity deep vein thrombosis after posterior shoulder subluxation. Paget-Schroetter syndrome is rare diagnosis that requires vigilance during musculoskeletal assessment for shoulder pain and swelling. The early detection, radiological confirmation, and prompt initiation of treatment are essential to successful management of Paget-Schroetter syndrome. The impact of associated posterior shoulder subluxation remains unclear.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 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".