Evidence map›Paper›PMID 41660541›Full record

ArticleJSES international2026

Optimizing tendon-to-bone healing: a comparative study of intratunnel and anatomical repairs in rotator cuff tears.

Muzaffer Agir, Koray Sahin, Anil Pulatkan, Mehmet Kapicioglu, Fatih Yamak, Ergun Bozdağ, Ayse Nur Toksoz Yildirim, Kerem Bilsel

Abstract read
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Article in JSES international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Muzaffer AgirDepartment of Orthopedics and Traumatology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkiye.
Koray SahinDepartment of Orthopedics and Traumatology, Bezmialem Foundation University, Istanbul, Turkiye.
Anil PulatkanKlinikum am Steinenberg, Kreiskliniken Reutlingen, Reutlingen, Deutschland.
Mehmet KapiciogluDepartment of Orthopedics and Traumatology, Bezmialem Foundation University, Istanbul, Turkiye.
Fatih YamakDepartment of Mechanical Engineering, Istanbul Technical University, Istanbul, Turkiye.
Ergun BozdağDepartment of Mechanical Engineering, Istanbul Technical University, Istanbul, Turkiye.
Ayse Nur Toksoz YildirimDepartment of Pathology, Suleyman Yalcin Research and Training Hospital, Istanbul, Turkiye.
Kerem BilselDepartment of Orthopedics and Traumatology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rotator cuff tears are a leading cause of shoulder pain, with high rerupture rates despite advancements in surgical techniques. Tendon-to-bone healing failure is often attributed to insufficient fibrocartilage regeneration at the repair site. Intratunnel repair (TR) has been proposed as an alternative approach to enhance healing by increasing tendon-bone contact and exposure to marrow-derived stem cells. However, its effectiveness in chronic rotator cuff tears remains unclear. This study aims to compare the biomechanical and histological outcomes of TR and surface repair (SR) in a rabbit model. We hypothesized that TR might offer advantages in tendon-to-bone healing compared to SR, particularly through enhanced contact area and marrow exposure. Methods: A chronic rotator cuff tear model was created in 36 New Zealand White rabbits by tenotomizing the subscapularis tendon and preventing spontaneous healing for 8 weeks. The right shoulders underwent TR, while the left shoulders received SR. Biomechanical and histological evaluations were performed at 4, 8, and 12 weeks postrepair. Biomechanical testing assessed failure load, stiffness, and elongation. Histological assessments included collagen fiber organization, fibrocartilage formation, vascularity, and tendon maturation using Modified Watson tendon maturation scoring. Statistical analyses were conducted using nonparametric tests with a significance level of Results: Biomechanical results showed no significant differences in failure load between TR and SR at any time point ( Discussion: Contrary to our hypothesis, TR did not demonstrate superior healing outcomes compared to SR. While TR provided similar biomechanical properties, its histological outcomes were inferior over time. We speculate that increased inflammatory response and tendon micromotion within the tunnel may have contributed to the inferior histological healing observed in the TR group. Conclusion: These findings suggest that TR does not offer significant advantages over SR in chronic rotator cuff tears. Further studies are needed to optimize healing strategies within the bone tunnel.

Indexed as

BiomechanicsHistologyIntratunnel repairRotator cuff repairRotator cuff tearTendon-to-bone healing

Identifiers

PMID41660541
PMCPMC12876747

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.