Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future
outcome for individual patients are abundant in the medical literature; however, systematic …

No comprehensive review of Bayesian networks (BNs) in healthcare has been published in
the past, making it difficult to organize the research contributions in the present and identify …

Study Design. A systematic review of randomized controlled trials. Objective. To determine
the efficacy and adverse effects of conservative treatments for people who have lumbar disc …

Stratified care for back pain involves targeting treatment to subgroups of patients based on
their key characteristics such as prognostic factors, likely response to treatment and …

A clinical prediction model is a tool for predicting healthcare outcomes, usually within a
specific population and context. A common approach is to develop a new clinical prediction …

Methods: Using data from 3 prospective studies of HIV-1–serodiscordant couples from 7
African countries and standard methods for development of clinical prediction rules, the …

Study Design Randomized controlled trial. Objective To determine the validity of a
previously suggested clinical prediction rule (CPR) for identifying patients most likely to …

Many researchers and clinicians believe the effectiveness of existing physical therapy
interventions can be improved by targeting the provision of specific interventions at patients …

Composite outcomes are widely used in clinical research. Existing literature has considered
the pros and cons of composite outcomes in clinical trials, but their extensive use in clinical …

Study Design Prospective cohort/predictive validity study. Objective To determine the
predictive validity of selected clinical examination items and to develop a clinical prediction …