Defining Failure in Revision ACL Research across Structural, Functional, and Patient-Reported Outcomes

Authors

  • Adrian Wells Author
  • Gavin Russell Author
  • Tyler Sullivan Author

Keywords:

outcome definition, graft failure, structural integrity, patient-reported outcomes, competing risks, revision surgery

Abstract

Failure after revision anterior cruciate ligament reconstruction can refer to structural disruption, recurrent symptoms, functional limitation, or additional treatment. These events are related without being interchangeable. This methodological synthesis develops an outcome framework around an adult revision-management consensus. It attaches an observation window and ascertainment process to structural status, patient reports, performance, and subsequent treatment. It explains why an apparent difference can arise from imaging intensity or follow-up rather than from a different clinical course. Established knee measures, reliability methods, repeated-measure models, and competing-risk frameworks are considered for specified questions. No new outcomes or pooled failure rates are calculated. The contribution is an outcome dictionary and design structure that preserve disagreement among domains instead of hiding it inside an undefined success label. The framework supports future revision studies while providing no patient-specific operative threshold.

Archive transfer

Originally published in Inclusive Growth and Management Quarterly (NB), article 213, on 2026-10-25. Transferred to Journal of Research and Discovery on 3 November 2026. The original authors, publication date and article text are retained.

References

  1. Cao, Mingde, et al. "APKASS 2024 consensus statement on anterior cruciate ligament reconstruction, Part II: Management of anterior cruciate ligament revision in adults." Asia-Pacific Journal of Sports Medicine, Arthroscopy, Rehabilitation and Technology 45 (2026): 74-81.
  2. Roos, Ewa M., et al. "Knee Injury and Osteoarthritis Outcome Score (KOOS): Development of a Self-Administered Outcome Measure." Journal of Orthopaedic & Sports Physical Therapy, vol. 28, no. 2, 1998, pp. 88-96. https://doi.org/10.2519/jospt.1998.28.2.88.
  3. Irrgang, James J., et al. "Development and Validation of the International Knee Documentation Committee Subjective Knee Form." The American Journal of Sports Medicine, vol. 29, no. 5, 2001, pp. 600-613. https://doi.org/10.1177/03635465010290051301.
  4. Koo, Terry K., and Mae Y. Li. "A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research." Journal of Chiropractic Medicine, vol. 15, no. 2, 2016, pp. 155-163. https://doi.org/10.1016/j.jcm.2016.02.012.
  5. Bland, J. Martin, and Douglas G. Altman. "Statistical Methods for Assessing Agreement between Two Methods of Clinical Measurement." The Lancet, vol. 327, no. 8476, 1986, pp. 307-310. https://doi.org/10.1016/S0140-6736(86)90837-8.
  6. Laird, Nan M. and James H. Ware. “Random-Effects Models for Longitudinal Data.” Biometrics, vol. 38, no. 4, 1982, pp. 963. https://doi.org/10.2307/2529876.
  7. White, Halbert. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica, vol. 48, no. 4, 1980, pp. 817–838. https://doi.org/10.2307/1912934.
  8. Fine, Jason P., and Robert J. Gray. "A Proportional Hazards Model for the Subdistribution of a Competing Risk." Journal of the American Statistical Association, vol. 94, no. 446, 1999, pp. 496-509. https://doi.org/10.1080/01621459.1999.10474144.
  9. von Elm, Erik, et al. "The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies." PLoS Medicine, vol. 4, no. 10, 2007, pp. e296. https://doi.org/10.1371/journal.pmed.0040296.
  10. Little, Roderick J. A., and Donald B. Rubin. Statistical Analysis with Missing Data. Wiley, 2002. https://doi.org/10.1002/9781119013563.

Downloads

Published

2026-10-25