Venous thromboembolism after shoulder arthroplasty is considered a rare phenomenon but can
Bibliographic record
Abstract
Abstract Venous thromboembolism after shoulder arthroplasty is considered a rare phenomenon, but can be a dangerous and life-threatening condition. We report three cases of venous thromboembolism sustained after shoulder arthroplasty. One of the patients had a non-fatal pulmonary embolism. The other two had deep vein thrombosis, one in the operated upper extremity, and the other in a lower extremity. The cases are described in detail and discussed to reveal the possible contributing risk factors. The purpose of this case series is to increase awareness of this relatively rare, but potentially serious complication. Özet Omuz artroplastisi sonrası venöz tromboembolizm nadir bir olgu olarak kabul edilse de tehlikeli ve hayati risk içeren bir durum olabilir. Bu çalışmada, omuz artroplastisi sonrası oluşan üç venöz tromboembolizm olgusunu sunmayı amaçladık. Hastalardan biri, ölümcül olmayan pulmoner embolizm geçirdi. Diğer iki hastada, biri opere edilmiş üst ekstremitede diğeri ise alt ekstremitede olmak üzere derin ven trombozu oluştu. Olgular detaylı olarak tanımlandı ve muhtemel etken risk faktörlerini ortaya çıkarmak için tartışıldı. Bu olgu çalışmasının amacı, nispeten nadir görülen ancak potansiyel olarak ciddi bir durum olan bu komplikasyonun farkındalığını artırmaktır.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".