- To perform a systematic review that determines the percentage of published orthopedic surgery and sports medicine systematic reviews and meta-analyses that have a conclusive conclusion.
- Evidence-based medicine (EBM) guidelines were first introduced in 1986 and were defined as the conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients. The practice of EBM means integrating individual clinical expertise with the best available external clinical evidence from systematic research. Level of evidence (LOE) stratifies publications from Level I to Level V and provides the foundation for EBM. Three questions should be asked when an LOE is assigned to a scientific article: (1) What is the research question? (2) What is the study type? and (3) What is the hierarchy of evidence? In cases in which LOE is not appropriate or relevant (basic science and laboratory-based investigations), a clinical relevance statement should be used.
- The evolution of a systematic approach to assessing pertinent investigations is known as evidence-based medicine (EBM). EBM is defined as the conscientious and judicious use of current best evidence from clinical care research and integration of clinical expertise in the management of individual patients. There is no doubt that EBM is important but may not give clinically meaningful guidance on topics with clinical equipoise for individual patient care. When EBM has been insufficiently developed for a specific topic, a consensus opinion of experts can be valuable.
- Our current trend and focus on evidence-based medicine is biased in favor of randomized controlled trials, which are ranked highest in the hierarchy of evidence while devaluing expert opinion, which is ranked lowest in the hierarchy. However, randomized controlled trials have weaknesses as well as strengths, and no research method is flawless. Moreover, stringent application of scientific research techniques, such as the Delphi Panel methodology, allows survey of experts in a high quality and scientific manner.
- The focus of predictive modeling or predictive analytics is to use statistical techniques to predict outcomes and/or the results of an intervention or observation for patients that are conditional on a specific set of measurements taken on the patients prior to the outcomes occurring. Statistical methods to estimate these models include using such techniques as Bayesian methods; data mining methods, such as machine learning; and classical statistical models of regression such as logistic (for binary outcomes), linear (for continuous outcomes), and survival (Cox proportional hazards) for time-to-event outcomes.