![]() Also, new variations on standard systematic review methods are explored, with the pros and cons of each outlined.Įvidence synthesis Evidence-based healthcare Meta-analysis Systematic review.Ĭopyright © 2015 Elsevier Ltd. Thus, many systematic reviews present meta-analyses as a way to sum up results from all included studies, but if, studies are of different designs, different measures of. In this article we first review the history of systematic reviews and meta-analyses and then outline those conditions that may lead to the correct, or incorrect, use of these types of study. An advantage of a meta-analysis is the ability to be completely objective in evaluating research findings. In order to correctly inform decision-makers, but not mislead them, a number of key methodological conditions need to be met when undertaking these types of analysis. A meta-analysis goes beyond critique and integration and conducts secondary statistical analyses on the outcomes of similar studies.It is a systematic review that uses quantitative methods to synthesize and summarize the results. Randomized controlled trials reduce bias, while meta-analyses increase bias, she stated. The main reasons for undertaking systematic reviews and meta-analyses are to minimize bias and to maximize data by collating all the relevant, available evidence on a particular topic. The primary difference between a randomized controlled trial and meta-analysis is that the former provide the highest level of evidence because they contain the least amount of bias. As such, they are important sources of synthesized information for decision-makers including consumers, clinicians, funders, payers, regulators, and researchers. A systematic review is a high-level overview of. Takeaway A systematic review is a form of analysis that medical researchers carry out to synthesize all the available evidence on a particular question, such as how effective a drug is. Georg Thieme Verlag KG Stuttgart New York. SR is more of a qualitative assessment of all studies of a similar topic, while a meta-analysis is more of a quantitative combined assessment. Systematic reviews are often considered to be original studies due to their structure and ability to reduce bias. Use the chart below to understand the differences between a systematic review and a literature review.Ĭheck out the video below to watch the Nursing and Health Sciences librarian describe the differences between primary and secondary research.Systematic reviews and meta-analyses are at the top of the 'evidence hierarchy' when assessing the effectiveness of health interventions. The concept of systematic reviews and meta-analysis includes a systematic literature search and summary, together with an appraisal of the quality of the publications. The creators of systematic reviews are very intentional about their inclusion/exclusion criteria, or which articles they'll include in their review and the goal is to make a generalized statement so other researchers can build upon the practices or interventions they recommend. Systematic Reviews are a kind of secondary research. ![]() So rather than saying, "this specific intervention worked at this specific hospital with these specific participants, a piece of secondary research can say, "This intervention works at hospitals that serve this population." Distinguishing between a systematic review and meta-analysis is essential to understand the role each plays in presenting and analysing data and estimates of treatment effects. Primary research can only make statements about the specific context in which their research was conducted (for example, this specific intervention worked in this hospital with these participants), but secondary research can make broader statements because it compiled lots of primary research together. ![]() The goal of secondary research is to pull together lots of diverse primary research (like studies and trials), with the end goal of making a generalized statement. ![]() They conduct searches in databases, go through lots of primary research articles, and analyze the findings in those pieces of primary research. Statistical methods ( meta-analysis) may or may not be used to analyse and summarise the results of the included. Secondary Research is when researchers collect lots of research that has already been published on a certain subject. A review of a clearly formulated question that uses systematic and explicit methods to identify, select, and critically appraise relevant research, and to collect and analyse data from the studies that are included in the review. ![]()
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