Tranexamic Acid in Shoulder Arthroplasty
Bibliographic record
Abstract
BACKGROUND: The role of tranexamic acid (TXA) in reducing blood loss following primary shoulder arthroplasty has been demonstrated in small retrospective and controlled clinical trials. This study comprehensively evaluates current literature on the efficacy of TXA to reduce perioperative blood loss and transfusion requirements following shoulder arthroplasty. METHODS: PubMed, MEDLINE, CENTRAL, and Embase were searched from the database inception date through October 27, 2016, for all articles evaluating TXA in shoulder arthroplasty. Two reviewers independently screened articles for eligibility and extracted data for analysis. A methodological quality assessment was completed for all included studies, including assessment of the risk of bias and strength of evidence. The primary outcome was change in hemoglobin and the secondary outcomes were drain output, transfusion requirements, and complications. Pooled outcomes assessing changes in hemoglobin, drain output, and transfusion requirements were determined. RESULTS: Five articles (n = 629 patients), including 3 Level-I and 2 Level-III studies, were included. Pooled analysis demonstrated a significant reduction in hemoglobin change (mean difference [MD], -0.64 g/dL; 95% confidence interval [CI], -0.84 to -0.44 g/dL; p < 0.00001) and drain output (MD, -116.80 mL; 95% CI, -139.20 to -94.40 mL; p < 0.00001) with TXA compared with controls. TXA was associated with a point estimate of the treatment effect suggesting lower transfusion requirements (55% lower risk); however, the wide CI rendered this effect statistically nonsignificant (risk ratio, 0.45; 95% CI, 0.18 to 1.09; p = 0.08). Findings were robust with sensitivity analysis of pooled outcomes from only Level-I studies. CONCLUSIONS: Moderate-strength evidence supports use of TXA for decreasing blood loss in primary shoulder arthroplasty. Further research is necessary to evaluate the efficacy of TXA in revision shoulder arthroplasty and to identify the optimal dosing and route of administration of TXA in shoulder arthroplasty. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".