Reconstruction techniques and clinical results of patellar tendon ruptures: Evidence today
Abstract
BACKGROUND: The analysis of the different operative reconstructions of patellar tendon ruptures has not been reported. A critical review of the existing literature was performed to identify the different operative techniques and the post-operative outcomes in acute, chronic and post-total knee arthroplasty (TKA) patellar tendon rupture repairs.
METHODS: Using PRISMA guidelines, a review of the English-written literature published after 1947 was performed using the MEDLINE, PubMed and Cochrane libraries in November 2013 to retrieve case series with the keywords "Patellar tendon" AND "Rupture" AND "Repair" in their title or abstract.
RESULTS: Forty-one manuscripts, reporting on 503 patients were analysed. Three-hundred-and-fifty-four acute repairs described eight different operative techniques. One-hundred-and-forty-nine chronic repairs described eight different operative techniques. Sixty-eight post-TKA repairs described nine different operative techniques. Six acute, four chronic and seven post-TKA repair operative techniques reported failures. In acute repair, using a primary repair method augmented with cerclage wire, Dall-Miles cable or non-absorbable sutures reported the best clinical results, with a 2% failure rate. Alternatively, for chronic and post-TKA repair, autogeneous grafts were significantly better than primary repair (p=0.0252, 0.0038 respectively).
CONCLUSION: Acute surgical repair of a patellar tendon rupture using augmented primary repair is associated with…
Read the paper
Related studies
- Knowledge Management Perspective of Generative Artificial Intelligence
- Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
- Characterizing the evolving research on enterprise content management
- Large language models and multimodal foundation models for precision oncology
- From Generative AI to Extended Reality: Multidisciplinary Perspectives on the Challenges, Opportunities, and Future of Educational Computing
- Generative Artificial Intelligence: A New Engine for Advancing Environmental Science and Engineering
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.