Afton K. Limberg
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Afton K. Limberg has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Dominik Jonas Federl
Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL 60612, USA
1 shared publication - Douglas C. Moore
Department of Orthopaedics, The Warren Alpert Medical School of Brown University, Providence, RI 02903, USA
1 shared publication - Douglas W. Van Citters
Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
1 shared publication - Francesca De Vecchi
Department of Orthopedic Surgery Rush University Medical Center Chicago Illinois USA
1 shared publication - Joseph J. Crisco
Institute for Biology, Engineering, and Medicine, Brown University, Providence, RI 02912, USA
1 shared publication - Landon M. Begin
Institute for Biology, Engineering, and Medicine, Brown University, Providence, RI 02912, USA
1 shared publication
Latest Publications
- Open Access
- 31 December 2025
- Published by MDPI AG in Lubricants
- Vol. 14 (1) , 18
Friction and Cartilage Wear in Hemiarthroplasty: A Systematic Review of Key Influencing Factors
Hemiarthroplasty addresses joint damage confined to one side, preserving native cartilage and bone, but accelerated degeneration of the opposing cartilage can compromise outcomes. This systematic review should clarify whether coefficient of friction (COF) reliably predicts cartilage wear when evaluating hemiarthroplasty bearing materials (HBMs). Thirty in vitro studies reporting both outcomes were identified. Data were extracted on COF, wear, and testing parameters, and wear was standardized using a 0–4 rubric to enable cross-study comparison. Three analytical approaches were applied: linear model fits, Pearson’s correlations, and predictive modeling. Reported COFs increased significantly with testing time, while contact stress and sliding velocity showed variable associations with COF. Predictive models for cobalt–chromium (CoCr), the most studied HBM, showed moderate fit, suggesting that mechanical parameters explain only part of COF variability. For wear, linear models showed poor fit with COF, but correlations indicated positive associations with contact stress. Inconsistent effects of velocity and distance were found. Predictive models explained little variability. Together, these findings suggest that outcomes are strongly influenced by testing conditions, lubricants, and HBM selection, and COF alone is an unreliable predictor of cartilage wear in an experimental setting.
- 31 December 2025
- Published by MDPI AG in Lubricants
- Vol. 14 (1) , 18
Open AccessFriction and Cartilage Wear in Hemiarthroplasty: A Systematic Review of Key Influencing Factors
Hemiarthroplasty addresses joint damage confined to one side, preserving native cartilage and bone, but accelerated degeneration of the opposing cartilage can compromise outcomes. This systematic review should clarify whether coefficient of friction (COF) reliably predicts cartilage wear when evaluating hemiarthroplasty bearing materials (HBMs). Thirty in vitro studies reporting both outcomes were identified. Data were extracted on COF, wear, and testing parameters, and wear was standardized using a 0–4 rubric to enable cross-study comparison. Three analytical approaches were applied: linear model fits, Pearson’s correlations, and predictive modeling. Reported COFs increased significantly with testing time, while contact stress and sliding velocity showed variable associations with COF. Predictive models for cobalt–chromium (CoCr), the most studied HBM, showed moderate fit, suggesting that mechanical parameters explain only part of COF variability. For wear, linear models showed poor fit with COF, but correlations indicated positive associations with contact stress. Inconsistent effects of velocity and distance were found. Predictive models explained little variability. Together, these findings suggest that outcomes are strongly influenced by testing conditions, lubricants, and HBM selection, and COF alone is an unreliable predictor of cartilage wear in an experimental setting.