Prognostic Model Design for Outcomes after Adult ACL Revision

Authors

  • Eric Sanders Author
  • Kevin Chapman Author
  • Bradley Hughes Author

Keywords:

prognosis, graft outcomes, model validation, calibration, data leakage, transportability

Abstract

A prognostic model for revision ACL outcomes needs a defined population, information boundary, time origin, prediction horizon, and observable endpoint. These choices determine whether a fitted score answers the intended research question. This conceptual methods synthesis develops a model-design specification around an adult revision-management consensus. It distinguishes prognosis from treatment-effect estimation, prevents later information from entering a baseline prediction, and connects validation splits to intended transfer. A revision cohort provides a clinical reference for selection and follow-up, while prediction-study guidance organizes bias assessment and reporting. Discrimination, calibration, and decision consequences remain separate claims. No model is trained and no predictive performance is calculated. The contribution is a testable specification identifying the observations required before a graft-related risk estimate can support a transportable prognostic claim.

Archive transfer

Originally published in Inclusive Growth and Management Quarterly (NB), article 217, on 2026-10-25. Transferred to Journal of Evidence and Innovation on 3 November 2026. The original authors, publication date and article text are retained.

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Published

2026-10-25

Issue

2026: Transferred NB archive: original Vol. 4, No. 4

Section

Articles

License

Copyright (c) 2026 Eric Sanders, Kevin Chapman, Bradley Hughes (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.