![]() ![]() Systematic review is a type of scientific work which consists of the study of all scientific research on a certain topic at the time of the analysis. In fact, they are different types of work with different objectives and methodologies. Therefore, these concepts often need clarification. Systematic review and meta-analysis are related, and both involve the study of data. If they were conducted superficially, biassed, or poorly implemented, the researchers who conducted the meta-analysis would conclude that the evidence of effectiveness needs to be stronger and new, better studies are needed. This is because the evaluation and recommendations that follow a meta-analysis largely depend on the quality of the studies conducted previously. In addition to synthesising all currently available information and bringing new insights into the most effective treatments or diagnostics, meta-analysis data sets the vector for new research. summarises multiple studies and is, therefore, less dependent on individual findings than individual studies īecause of this, since 1979, when Canadian scientists began to evaluate the effectiveness of an intervention according to the quality of the evidence obtained, data from meta-analyses and data from systematic reviews have been at the top of the hierarchy of evidence.works in an environment of excess information – a large number of articles are published each year.allows for increased statistical power of studies.can explain inconsistencies between data.controls for diversity between studies.indicates that the sample is more diverse than expected based on sample diversity.the ability to consolidate the results of multiple studies on one particular topic, even if their results contradict each other.Therefore, this analysis occupies an important place in evidence-based medicine. Meta-analysis allows the results of several independent studies to be combined and assessed unbiasedly. The main feature of evidence-based medicine is a critical appraisal of the available evidence. This understanding led to the development of evidence-based medicine, an approach to medical practice in which decisions about any medical intervention are made based on available evidence of effectiveness and safety, with such evidence being evaluated, compared, summarised, and widely disseminated for the benefit of patients. And often, the results of these studies are contradictory, complicating clinical decision-making. Multiple research groups in different parts of the world study many medical issues simultaneously. ![]() The importance of meta-analysis in evidence-based medicine Determination of the informativeness of the main results by sensitivity analysis.These types of heterogeneity may make it impossible to generalise the data in a meta-analysis. When applied to meta-analyses, heterogeneity refers to differences between studies, which may be due to the use of different methods of statistical data processing (statistical heterogeneity) or to differences in key characteristics of participants, interventions used, clinical outcomes, or criteria for their evaluation (clinical heterogeneity). Assessing the heterogeneity (heterogeneity) of the meta-analysis.Examining all studies on the problem in question eliminates the influence of studies and opinions that are more popular at a given time.In doing so, a qualitative meta-analysis involves: For this purpose, the results of two or more randomised controlled trials are combined.Ī meta-analysis uses statistical methods to obtain an overall estimate of the effect. Most often, it is used to assess the clinical effectiveness of therapeutic interventions. Meta-analysis is a scientific research methodology consisting of the analysis and synthesis (combination) of data obtained from previously conducted independently from each other studies on the same problem. Why meta-analysis data are so important is discussed in this article. Most clinicians begin searching for the best, evidence-based evidence to make informed decisions by visiting the Cochrane Library, which is regularly updated with more and more meta-analyses and systematic reviews. They are an integral part of evidence-based medicine. Meta-analysis and systematic review are at the top of the hierarchy of evidence for data reliability in various types of biomedical research. ![]()
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