When seeking answers to clinical questions about efficacy or other aspects of a proposed intervention, health professionals often look for reliable evidence. Systematic literature reviews (SLRs) serve this purpose, by virtue of their ability to generate high-quality, verifiable, and trustworthy evidence in a systematic, transparent, and impartial manner.(1) In the new evidence pyramid, systematic reviews […]
Systematic literature reviews (SLRs) are widely used to pool and present the findings from multiple studies in a dependable way and are often used to inform policy and practice guidelines. (1) An important SLR feature is the application of scientific tools to find and curtail bias as well as error in the selection and treatment […]
Systematic literature reviews (SLRs) are the foundation of evidence-based healthcare. Explicit methods need to be implemented while conducting SLRs to minimize bias in order to provide more reliable findings, since reduction of bias may affect all steps of the review process. For instance, bias can occur while identifying/screening studies, selecting studies (e.g. due to unclear […]
Today’s era of risk based, precision and personalized medicine demands clinical prediction models. Prediction modelling studies focus on two kinds of outcomes, viz. diagnosis (probability of a condition that is undetected) and prognosis (probability of developing a certain outcome in the future). (1,2) These studies develop, validate, or update a multivariable prediction model, wherein multiple […]
Network meta-analysis (NMA) is a type of meta-analysis that adds an additional variable to a meta-analysis, and instead of a simple summation of trials that have evaluated the same treatment, several different treatments are compared by statistical inference.1 NMA is also referred to as mixed treatments comparison or multiple treatments comparison meta-analysis.2,3,4 It was recognised […]
