Tranexamic acid use in arthroscopic rotator cuff repair: a systematic review and meta-analysis of randomized controlled trials
Bibliographic record
Abstract
Background Rotator cuff disease, a prevalent cause of shoulder disability and pain among middle-aged and older adults, has seen an uptick in arthroscopic repairs in the last two decades. These repairs necessitate optimal visualization and controlled hemostasis to prevent complications. This study aimed to assess the efficacy of tranexamic acid (TXA) in arthroscopic rotator cuff repairs by evaluating all available randomized controlled trials (RCTs) in the literature. Methods A systematic search was conducted in PubMed, Cochrane Library, Embase, Science Direct, Web of Science, Google Scholar, and CINAHL databases from inception through November 2022 for RCTs investigating the use of TXA in arthroscopic rotator cuff repair. The studies selected reported on the primary outcomes, which include visual clarity during surgery, postoperative pain, and operative time. The quality of the studies was evaluated using the RoB 2 (Risk of Bias) tool. Results A total of seven studies, with level I and II of evidence, comprising 510 randomized patients (253 females, 257 males) were included, with mean ages of 59 and 58 years for the TXA and control groups, respectively. Bias was graded "Low" in two RCTs and "Some concerns" in five RCTs. Visual analog scale (VAS) for pain was significantly different with TXA use at postoperative day one (WMD= -0.55; 95%CI: -1.07- -0.04, P=.04). Operative time was significantly higher for the control group with a mean difference of 7.97 minutes (WMD= -7.97; 95%CI: -15.19- -0.74, P=0.04). The impact of TXA on visual clarity during shoulder arthroscopy remains uncertain. However, postoperative shoulder swelling results were comparable in both groups (WMD= -1.71; 95%CI: -3.72-0.29, I2=99%, P=.69). Considerable heterogeneity was seen in some results. Conclusion Pooled data suggest that the use of TXA in shoulder arthroscopy does reduce postoperative shoulder pain and has a positive effect on decreasing operative time. However, the reduction in pain may not be clinically significant, and there is no effect on reducing shoulder swelling. The impact of TXA on visual clarity remains inconclusive, and further research is needed using methodologically rigorous articles that incorporate objective measures and controlled factors to eliminate subjective bias.
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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 | 0.019 | 0.048 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 0.037 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".