Total Knee Replacement and Chemical Thromboprophylaxis: Current Evidence
Why this work is in the frame
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Bibliographic record
Abstract
Thromboembolic disease remains one of the most devastating and potentially lethal complications after elective total knee replacement (TKR) surgery. Studies have shown that 40-85% of patients undergoing TKR will develop venographically confirmed deep vein thrombosis (DVT) if they are not given any type of post-operative thromboprophylaxis and approximately 0.1 to 1.7% will suffer fatal pulmonary embolism (PE). Consequently, there is a general consensus that patients undergoing elective TKR require adequate antithrombotic prophylaxis. The following article reviews current evidence regarding chemical thromboprophylaxis after total knee replacement. Clinical guidelines as described by the American Academy of Orthopaedic Surgeons (AAOS), the American College of Chest Physicians (ACCP) and the UKs National Institute for Health and Clinical Excellence (NICE) are summarized along with the differences between the recommendations. The results of the new oral anticoagulants are reviewed as well as the most recent developments in the search for the most effective venous thromboembolism (VTE) prophylaxis after TKR surgery. Keywords: Total knee replacement, thromboprophylaxis, chemical, guidelines, future, venous thromboembolism, DVT, post-operative thromboprophy-laxis, PE, antithrombotic prophylaxis, chemical thromboprophylaxis, AAOS, ACCP, NICE, VTE, UFH, Warfarin, Dalteparin, Enoxaparin, Tinzaparin, Fondaparinux, Idraparinux, Dabigatran etexilate, Rivaroxaban, Apixaban, thromboplastin, LMWHs, vitamin K dependent clot-ting factors, INR, enzymatic depolymeriza-tion, enoxa-parin, ardeparin, meta-analysis, symptomatic pulmonary embolism, fatal embolism, major hemorrhage, synthetic pentasaccharide, anti-thrombin, chemoprophy-laxis, Ri-varoxaban, thrombocytopenia, Ximelagatran (Exanta and Exarta), melagatran, EXULT (EXanta Used to Lessen Thrombosis)
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it