August 30, 2021
Rehabilitation Strategies: Evidence is the Oasis
In this episode, Marc and Mo discuss the importance of breaking down silos and collaborating with non-surgeon colleagues in the musculoskeletal arena (PTs, OTs, physiatrists) to develop evidence-based recommendations on rehabilitation strategies for the purpose of improving patient outcomes. OrthoJOE Mailbag: feedback, comments, and suggestions from our audience can be sent to [email protected] Links: Martínez R, Santana F, Pardo A, Torrens C. One Versus 3-Week Immobilization Period for Nonoperatively Treated Proximal Humeral Fractures: A Prospective Randomized Trial. J Bone Joint Surg Am. 2021 Aug 18;103(16):1491-1498. doi: 10.2106/JBJS.20.02137. PMID: 34101691. https://bit.ly/2WhQSh1 ...
August 16, 2021
Artificial Intelligence, Machine-Learning, and Neural Networks (with special guest Joseph Siburt, PhD)
In this episode, Marc and Mo are joined by special guest Joseph Silburt, PhD (Data Scientist at OrthoEvidence) in an informative discussion on the issues related to artificial intelligence, machine-learning, and neural networks, with a specific focus on how these technologies can be applied to preoperative and perioperative planning. OrthoJOE Mailbag: feedback, comments, and suggestions from our audience can be sent to [email protected] Links: OrthoEvidence. An Overview of Machine Learning Applications for Conducting Systematic Reviews. OE Original. 2021;4(3):2. Available from: https://myorthoevidence.com/Blog/Show/118 OrthoEvidence. Deep neural networks (machine learning) in healthcare. OE Original. 2019;2(6):1. Available from: https://myorthoevidence.com/Blog/Show/33 OrthoEvidence. Rise of the Robots: The robot-assisted orthopaedic surgical Revolution. OE Insight. 2021; 2(1): 1. Available from: https://myorthoevidence.com/Download/51b28028-b6f9-4b2c-8ede-9209dbc642c8 ...
August 02, 2021
International Consensus in Orthopaedic Care (with special guest Javad Parvizi)
In this episode, Marc and Mo are joined by special guest Javad Parvizi (James Edwards Professor of Orthopaedic Surgery at the Sidney Kimmel School of Medicine at the Rothman Institute at Thomas Jefferson University in Philadelphia) in a thought-provoking discussion on the goals and impact of international efforts to achieve consensus and standardization in orthopaedic care, with a specific focus on guidelines related to periprosthetic joint infection and venous thromboembolism. OrthoJOE Mailbag: feedback, comments, and suggestions from our audience can be sent to [email protected] Links: Second International Consensus Meeting (ICM) on Musculoskeletal Infection. https://icmphilly.com/ Parvizi J, Gehrke T, Chen AF. Proceedings of the International Consensus on Periprosthetic Joint Infection. Bone Joint J. 2013 Nov;95-B(11):1450-2. https://online.boneandjoint.org.uk/doi/full/10.1302/0301-620X.95B11.33135?rfr_dat=cr_pub++0pubmed&url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org ...
July 19, 2021
The Fragility Index: Why is it Important to the Practicing Orthopaedic Surgeon?
In this instructive episode, Mo and Marc focus on the concept of the Fragility Index—a method for evaluating the robustness of statistically significant dichotomous outcomes in RCTs—and discuss why this concept is relevant to practicing orthopaedic surgeons, who must routinely make real decisions in the clinic and OR based on their interpretation of the orthopaedic literature. OrthoJOE Mailbag: feedback, comments, and suggestions from our audience can be sent to [email protected] Links: OrthoEvidence. Fragility Index: How robust are your results? OE Original. 2021;4(5):2. Available from: https://myorthoevidence.com/Blog/Show/127 Ekhtiari S, Gazendam AM, Nucci NW, Kruse CC, Bhandari M. The Fragility of Statistically Significant Findings From Randomized Controlled Trials in Hip and Knee Arthroplasty. J Arthroplasty. 2021 Jun;36(6):2211-2218.e1. doi: 10.1016/j.arth.2020.12.015. Epub 2020 Dec 13. PMID: 33390336. https://pubmed.ncbi.nlm.nih.gov/33390336/ ...
July 05, 2021
Machine-Learning Algorithms in Orthopaedics
In this thought-provoking episode, Marc and Mo highlight a recent single-center study on the use of machine-learning algorithms in orthopaedics and use it as a springboard into a larger discussion of the inherent opportunities and challenges that have always been associated the ongoing process of scientific exploration into new domains, with a focus on the intriguing question: “Is there a day in the future when clinical decision-making will be reduced to these machine-learning algorithms?” OrthoJOE Mailbag: feedback, comments, and suggestions from our audience can be sent to [email protected] Links: Kunze KN, Polce EM, Clapp I, Nwachukwu BU, Chahla J, Nho SJ. Machine Learning Algorithms Predict Functional Improvement After Hip Arthroscopy for Femoroacetabular Impingement Syndrome in Athletes. J Bone Joint Surg Am. 2021 Jun 16;103(12):1055-1062. doi: 10.2106/JBJS.20.01640. PMID: 33877058. https://jbjs.org/reader.php?id=209282&rsuite_id=2845874&native=1&source=The_Journal_of_Bone_and_Joint_Surgery/103/12/1055/fulltext&topics=sm#info OrthoBuzz Blog Entry: https://orthobuzz.jbjs.org/2021/06/21/use-of-machine-learning-to-predict-improvement-after-hip-arthroscopy/ Author Insights video: https://www.youtube.com/watch?v=KRT98A2HDn8 ...
June 21, 2021
Cannabinoids in Orthopaedic Research (with special guest Jason Busse)
Orthopaedic patients are increasingly using cannabinoids for pain relief, but there is a lack of evidence-based data on this topic. In this episode, Marc and Mo are joined by special guest Jason Busse (Associate Professor in the Department of Anesthesia at McMaster University, Director of the National Pain Centre, and Associate Director of the Michael G. DeGroote Centre for Medicinal Cannabis Research) in an illuminating discussion on the issues, opportunities, and challenges related to orthopaedic research into the use of cannabinoids. Some of the questions covered during the discussion include: What are the most popular claims among cannabis proponents? What evidence is there to support these claims? Is there a causal relationship between cannabinoid use and decreased use of opioids and other prescription medications (i.e., a “substitution effect”)? Much of the current evidence on cannabinoids is observational and anecdotal. What can we learn from this evidence, and how can such information inform future research? What are the possible sources of funding for such research? What legal and regulatory hurdles must be overcome in order to allow us to perform properly designed RCTs into this topic? What challenges are faced by physicians when asked by patients about cannabinoids? What research is being done from the patient perspective? What is the roadmap for the future? How we will obtain quality evidence that will help clinicians and their patients to make decisions that are consistent with their values and preferences? OrthoJOE Mailbag: feedback, comments, and suggestions ...