ReviewThe archives of bone and joint surgery2026
Beyond the ACL: The Hidden Impact of Ramp Tears on Knee Stability.
Review in The archives of bone and joint surgery, 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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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.
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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.
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0 citing papers in PubMed.
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medial meniscus ramp lesions have emerged as a critical but frequently overlooked contributor to knee instability, particularly in the context of anterior cruciate ligament (ACL) injuries. Recent advances in imaging and arthroscopic techniques have improved their detection and classification, enhancing our understanding of their anatomical and functional significance. Evidence indicates that untreated ramp lesions may perpetuate instability and alter knee biomechanics, underscoring the need for structured, individualized treatment. Although multiple arthroscopic repair strategies have been proposed, the optimal technique remains debated. The posterior portals approach offers superior visualization and reliable repair, and has gained increasing adoption. This review synthesizes current insights into ramp lesion pathophysiology, classification, diagnostic advances, and evolving management strategies, emphasizing the importance of accurate identification and tailored intervention to optimize patient outcomes.
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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.