Response to Letter: Analytic approaches for prognostic studies of persistent pain following knee arthroplasty

Authors

  • Anni Rajamäki Coxa Hospital for Joint Replacement and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland https://orcid.org/0000-0001-8046-2747
  • Aleksi Reito Coxa Hospital for Joint Replacement and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland https://orcid.org/0000-0002-6903-6461
  • Mari Karsikas Coxa Hospital for Joint Replacement and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
  • Mika Niemeläinen Coxa Hospital for Joint Replacement and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland https://orcid.org/0000-0002-9438-111X
  • Antti Eskelinen Coxa Hospital for Joint Replacement and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland https://orcid.org/0000-0003-0302-0253

DOI:

https://doi.org/10.2340/17453674.2026.46806

Keywords:

Arthroplasty, Knee, Pain, Prediction, Statistics

Downloads

Download data is not yet available.

References

Riddle D L, Dumenci L. Letter to the Editor: Analytic approaches for prognostic studies of persistent pain following knee arthroplasty. Acta Orthop 2026; 97: 629-30. doi: 10.2340/17453674.2026.46698

Rajamäki A, Reito A, Karsikas M, Niemeläinen M, Eskelinen A. Predicting persistent pain after total knee arthroplasty using different machine learning algorithms. Acta Orthop 2026; 97: 423-9. doi:10.2340/17453674.2026.45965.

Beard D J, Harris K, Dawson J, Doll H, Murray D W, Carr A J, et al. Meaningful changes for the Oxford hip and knee scores after joint replacement surgery. J Clin Epidemiol 2015; 68(1): 73-9. doi:10.1016/j.jclinepi.2014.08.009.

Riddle D L, Dumenci L. Using two predictive models to capture two types of poor outcomes in knee arthroplasty: a multisite longitudinal cohort study. Arthritis Rheumatol 2024; 76(7): 1036-46. doi:10.1002/art.42819.

Dumenci L, Perera R A, Keefe F J, Ang D C, Slover J, Jensen M P, et al. Model-based pain and function outcome trajectory types for patients undergoing knee arthroplasty: a secondary analysis from a randomized clinical trial. Osteoarthritis Cartilage 2019; 27(6): 878–84. doi:10.1016/j.joca.2019.01.004.

Downloads

Published

2026-09-07

How to Cite

Rajamäki, A., Reito, A., Karsikas, M., Niemeläinen, M., & Eskelinen, A. (2026). Response to Letter: Analytic approaches for prognostic studies of persistent pain following knee arthroplasty. Acta Orthopaedica, 97, 631. https://doi.org/10.2340/17453674.2026.46806

Issue

Vol. 97 (2026): Acta Orthopaedica

Section

Publications

Categories

License

Copyright (c) 2026 Anni Rajamäki, Aleksi Reito, Mari Karsikas, Mika Niemeläinen, Antti Eskelinen

Creative Commons License

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

Acta Orthopaedica (Scandinavica) content is available freely online as from volume 1, 1930. The journal owner owns the copyright for all material published until volume 80, 2009. As of June 2009, the journal has however been published fully Open Access, meaning the authors retain copyright to their work. As of June 2009, articles have been published under CC-BY-NC or CC-BY licenses, unless otherwise specified.
 
Crossref
Scopus
Google Scholar
Europe PMC

PlumX (by Elsevier) is an altmetrics platform that tracks and visualizes the online attention, usage, captures, citations, and social media engagement.