JOURNAL ARTICLE
Single-Bundle Autografts Outperform Single-Bundle Achilles Allograft in Posterior Cruciate Ligament Reconstruction in Terms of Posterior Tibial Translation and Clinical Outcomes, but No Differences Exist Between Double-Bundle Grafts: A Network Meta-analysis
Published In: American Journal of Sports Medicine, 2025, v. 53, n. 14. P. 3528 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Dzidzishvili, Lika; Allahabadi, Sachin; Allende, Felicitas; Dave, Udit; Poulson, Trevor A.; Rutherford, Ryan P.; Rubin, Jared; Chahla, Jorge 3 of 3
Abstract
This article focuses on comparing biomechanical and clinical outcomes of different graft types used in posterior cruciate ligament reconstruction (PCLR), specifically evaluating Achilles allografts; hamstring tendon (HST), quadriceps tendon (QT), and bone–patellar tendon–bone (BTB) autografts; and hybrid (HY) grafts in single-bundle (SB) and double-bundle (DB) techniques. The network meta-analysis of 53 studies with 1861 patients found that SB autografts, particularly BTB and HST, demonstrated superior posterior tibial translation (PTT) outcomes, lower failure rates, and higher Lysholm scores compared to SB Achilles allografts, which had the highest odds of failure. DB PCLR showed better biomechanical outcomes than SB reconstruction regardless of graft type, with all graft groups achieving clinically significant improvements in Lysholm and Tegner scores. The study highlights the need for further research to confirm the clinical superiority of DB reconstruction and to clarify outcomes in combined multiligament injuries.
Additional Information
- Source:American Journal of Sports Medicine. 2025/12, Vol. 53, Issue 14, p3528
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:0363-5465
- DOI:10.1177/03635465251327675
- Accession Number:189650262
- Copyright Statement:Copyright of American Journal of Sports Medicine is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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