Researchers at the Unit are recognized worldwide and are frequently invited as guest speakers, both nationally and internationally, to present their work and/or to discuss treatment and new therapeutic approaches related to this disease. In addition, awards of excellence have been bestowed upon several researchers of the Unit for the quality and originality of their work.

Below is a short list of some of their recent and relevant works.

Scientific Articles

  1. Pelletier, J.P., Dorais, M., Paiement, P., Raynauld, J.P., Martel-Pelletier, J.: Risk factors associated with the occurrence of total knee arthroplasty in patients with knee osteoarthritis: A nested case-control study. Ther. Adv. Musculoskelet. Dis. 14:1759720X221091359. doi: 10.1177/1759720X221091359, 2022.
  2. Bonakdari, H., Pelletier, J.P., Abram, F., Martel-Pelletier, J.: A machine learning model to predict knee osteoarthritis cartilage volume changes over time using baseline bone curvature. Biomedicines 10:1247, 2022 doi.org/10.3390/biomedicines10061247.
  3. Martel-Pelletier, J., Tardif, G., Paiement, P., Pelletier, J.P.: Common biochemical and magnetic resonance imaging biomarkers of early knee osteoarthritis and of exercise/training in athletes. A narrative review. Diagnostics (Special Issue: Biomarkers in OA) 11:1488, 2021. https://doi.org/10.3390.diagnostics1081488.
  4. Jamshidi, A., Pelletier, J.P., Labbe. , Abram, F., Martel-Pelletier, J.*, Droit, A.*: Machine learning-based individualized survival prediction model for total knee replacement in osteoarthritis: Data from the Osteoarthritis Initiative. Arthritis Care & Res. 73 (10):1518-1527, 2021. doi.org/10.1002/acr.24601.
  5. Bonakdari, H., Jamshidi, A., Pelletier, J.P., Abram, F., Tardif, G., Martel-Pelletier, J.: A warning machine learning tool for early knee osteoarthritis structural progressor patient screening: Making headway on precision medicine. Ther. Adv. Musculoskel. Dis. 13:1-16, 2021. doi :10.1177/1759720X21993254.
  6. Bonakdari, H., Tardif, G., Abram, F, Pelletier, J.P., Martel-Pelletier, J.: Serum adipokines/related inflammatory factors and ratios as predictors of infrapatellar fat pad volume in osteoarthritis: Applying comprehensive machine learning approaches. Sci. Rep. 10, 9993 (2020). doi.org/10.1038/s41598-020-66330-0.
  7. Pelletier, J.P., Raynauld, J.P., Abram, F., Dorais, M., Paiement, P., Martel-Pelletier, J.: Intra-articular corticosteroid knee injection induces a reduction in meniscal thickness with no treatment effect on cartilage volume: A case-control study. Sci. Rep. 10(1):13789, 2020. doi.org/10.1038/s41598-020-70064-4.
  8. Bonakdari, H., Pelletier, J.P., Martel-Pelletier, J.: Viewpoint on time series and interrupted time series optimum modelling for predicting arthritic disease outcome. Curr. Rheum. Rep. 22:27, 2020.
  9. Bonakdari, H., Pelletier, J.P., Martel-Pelletier, J.: A reliable time-series method for predicting arthritic disease outcomes: new step from regression toward a nonlinear artificial intelligence method. Comput. Methods Programs Biomed. 189:105315, 2020.
  10. Jamshidi, A., Leclercq, M., Labbe, A., Pelletier, J.P., Abram, F., Droit, A., Martel-Pelletier, J.: Identification of the most important features of knee osteoarthritis structural progressors using machine learning methods. Ther. Adv. Musculoskelet. Dis. 12:1-12, 2020. doi: 10.1177/1759720X20933468.
  11. Pelletier, J.P., Raynauld, J.P., Dorais, M., Bessette, L., Dokoupilova, E., Morin, F., Pavelka, K., Martel-Pelletier, J. for the DISSCO Trial Investigator Group. An international, multicentre, double-blind, randomised study (DISSCO): effect of diacerein vs celecoxib on symptoms in knee osteoarthritis. Rheumatology (Oxford) 59(12):3858-3868, 2020.
  12. Martel-Pelletier, J., Maheu, E., Pelletier, J.P., Alekseeva, L., Mkinsi, O., Branco, J., Monod, P., Planta, F., Reginster, J.Y., Rannou, F.: A new decision tree for diagnosis of osteoarthritis in primary care: international consensus of experts. Aging Clin. Exp. Res. 31(1):19-30, 2019.
  13. Fleischmann, R.M., Bliddal, H., Blanco, F.J., Schnitzer, T.J., Peterfy, C., Chen, S., Wang, L., Feng, S., Conaghan, P.G., Berenbaum, F., Pelletier, J.P., Martel-Pelletier, J., Vaeterlein, O., Kaeley, G.S., Liu, W., Kosloski, M.P., Levy, G., Zhang, L., Medema, J.K., Levesque, M.C.: A phase II trial of lutikizumab, an anti-interleukin 1α/β dual variable domain immunoglobulin, in knee osteoarthritis patients with synovitis. Arthritis Rheumatol. 71(7):1056-1069, 2019.
  14. Jamshidi, A., Pelletier, J.P., Martel-Pelletier, J.: Machine-learning-based patient-specific prediction models for knee osteoarthritis. Nat. Rev. Rheumatol. 15(1):49-60, 2019.
  15. Dorais, M., Martel-Pelletier, J., Raynauld, J.P., Delorme, P., Pelletier, J.P.: Impact of oral osteoarthritis therapeutics usage among other risk factors on total knee replacement: a nested case-control study using the Osteoarthritis Initiative cohort. Arthritis Res. & Ther. 20(1):172, 2018.
  16. Pelletier, J.P., Raynauld, J.P., Abram, F., Dorais, M., Delorme, P., Martel-Pelletier, J.: Exploring determinants predicting response to intra-articular hyaluronic acid treatment in symptomatic knee osteoarthritis: 9-year follow-up data from the Osteoarthritis Initiative. Arthritis Res. Ther. 20(1):40, 2018.
  17. Martel-Pelletier, J., Raynauld, J.P., Mineau, F., Abram, F., Paiement, P., Delorme, P., Pelletier, J.P.: Levels of serum biomarkers from a two-year multicentre trial are associated with treatment response on knee osteoarthritis cartilage loss as assessed by magnetic resonance imaging: an exploratory study. Arthritis Res. Ther. 19(1):169, 2017.
  18. Pelletier, J.P., Raynauld, J.P., Beaulieu, A., Bessette, L., Morin, F., de Brum-Fernandes, A.J., Delorme, P., Dorais, M., Paiement, P., Abram, F., Martel-Pelletier, J.: Chondroitin sulfate efficacy versus celecoxib on knee osteoarthritis structural changes using magnetic resonance imaging: a 2-year multicenter exploratory study. Arthritis Res. Ther. 18(1):256, 2016.