A shortened course of anticoagulation to treat deep venous thrombosis after total joint arthroplasty.
Bibliographic record
Abstract
OBJECTIVE: To study whether the course of anticoagulation therapy in patients who have deep venous thrombosis (DVT) after total joint arthroplasty can be shortened with a minimal risk of recurrence. DESIGN: A case series. SETTING: Kingston General Hospital, a university-affiliated tertiary care centre. PATIENTS: Eleven patients who were found to have DVT after total hip or knee arthroplasty on colour duplex Doppler ultrasonography, who fulfilled the study criteria and gave their informed consent. Exclusion criteria included chronic predisposing factors for thromboembolic disease, revision arthroplasty and a previous DVT. INTERVENTIONS: Anticoagulation with warfarin to achieve an International Normalized Ratio of 2.0 to 2.5, adjusted 3 times a week until resolution of the DVT by duplex ultrasonography. Clinical and ultrasonographic evaluation at 1 year to monitor DVT recurrence. OUTCOME MEASURES: Resolution and recurrence of the DVT. RESULTS: All patients showed resolution of the DVT at their first follow-up ultrasonography (mean 34 days post-operatively). There was no clinical or ultrasonographic evidence of recurrence at 1 year. CONCLUSION: Further study of a shorter course of anticoagulation therapy in patients who suffer DVT after joint arthroplasty should be considered.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".