Intravenous Tranexamic Acid for Reducing Perioperative Blood Loss During Revision Surgery for Vancouver Type B Periprosthetic Femoral Fractures After Total Hip Arthroplasty: A Retrospective Study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To explore the efficacy and safety of intravenous tranexamic acid for reducing perioperative blood loss and allogeneic blood transfusions in revision surgery for Vancouver type B periprosthetic femoral fractures after total hip arthroplasty (THA). METHODS: We retrospectively reviewed 129 patients who underwent revision surgeries because of Vancouver type B periprosthetic femoral fractures from January 2008 to September 2018. Patients were divided into two groups according to whether they received intravenous tranexamic acid (n = 72) or not (n = 57). The two groups were compared in terms of estimated intraoperative blood loss, visible blood loss, hidden blood loss, the volume of allogeneic blood transfusion and the incidence of symptomatic venous thromboembolism (VTE). Patients were also compared depending on the Vancouver classification (Vancouver type B1, B2, and B3). RESULTS: Regardless of the subtype of Vancouver classification, patients who received tranexamic acid showed significantly lower estimated intraoperative blood loss, visible blood loss, hidden blood loss, and allogeneic blood transfusion volume. Use of tranexamic acid was not associated with significant changes in the incidence of postoperative symptomatic VTE. Similar results were obtained with subgroups of patients who had the Vancouver type B1, B2, or B3 periprosthetic femoral fractures. CONCLUSIONS: The administration of intravenous tranexamic acid can safely and effectively reduce perioperative blood loss and allogeneic blood transfusions in revision surgery for Vancouver type B periprosthetic femoral fractures, without increasing the risk of symptomatic VTE.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 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 it