ArticleJournal of biotechnology and biomedicine2024
Biologically Enhanced Patch in the Healing and Mechanical Stability of Rotator Cuff Tears.
Article in Journal of biotechnology and biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Article
- Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review.Advanced healthcare materials · 2026Review
- Calcified vs. Non-Calcified Tendinopathy of the Rotator Cuff: Clinical Presentations, Prognostic Implications, and Emerging Therapeutic Strategies.Journal of orthopaedics and sports medicine · 2025Article
- Modulation of EGR1 Expression by Hyperglycemia in Swine Rotator Cuff Tendons.Journal of orthopaedics and sports medicine · 2025Article
- Outcomes of Rotator Cuff Repair: Open vs. Arthroscopic Approaches in Patients with Diabetes or Hyperlipidemia.Journal of orthopaedics and sports medicine · 2025Article
- Rotator Cuff Injury: Pathogenesis, Biomechanics, and Repair.Journal of orthopaedics and sports medicine · 2024Article
- Therapeutic Efficacy of Medicinal Plants with Allopathic Medicine in Musculoskeletal Diseases.International journal of plant, animal and environmental sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Biological patches have emerged as promising adjuncts in the surgical management of rotator cuff tears, aiming to enhance tissue healing and biomechanical properties of repaired tendons. These patches, derived from human or animal sources such as dermis or small intestinal submucosa, undergo mechanical and pathological changes within the rotator cuff environment post-implantation. These patches provide structural reinforcement to the repair site, distributing forces more evenly across the tendon and promoting a gradual load transfer during the healing process. This redistribution of forces helps alleviate tension on the repaired tendon and surrounding tissues, potentially reducing the risk of re-tears and improving overall repair integrity. Moreover, biological patches serve as scaffolds for cellular infiltration and tissue ingrowth, facilitating the recruitment of cells and promoting collagen synthesis. The integration of these patches into the host tissue involves a cascade of cellular events, including inflammation, angiogenesis, and matrix remodeling. Inflammatory responses triggered by patch implantation contribute to the recruitment of immune cells and the release of cytokines and growth factors, fostering a microenvironment conducive to tissue repair. However, despite their potential benefits, the long-term efficacy and durability of biological patches in rotator cuff repair remain areas of ongoing research and debate. Further studies are needed to elucidate the optimal patch characteristics, surgical techniques, and rehabilitation protocols to maximize clinical outcomes and minimize complications in rotator cuff surgery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.