Significance of Meta analysis
Meta-analysis is a statistical procedure that integrates results from multiple studies to draw comprehensive conclusions about treatment effects or specific research questions. This method enhances understanding of various topics, including the effectiveness of treatments, diseases, and risk factors, offering pooled estimates and insights into trends. By combining data, meta-analysis provides robust conclusions that address inconsistencies among study findings and solidifies the evidence base in diverse fields such as medicine and psychology.
Synonyms: Systematic review, Literature review, Review study, Comprehensive review, Summary, Synthesis, Examination, Assessment, Overview
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Meta analysis in scientific sources
Meta-analysis is a statistical technique that aggregates data from various studies to provide a comprehensive understanding of effects, as illustrated in studies on Ayurvedic interventions for diabetes, mouthwash effectiveness, and Premenstrual Syndrome characteristics.
From: World Journal of Pharmaceutical Research
(1) A statistical analysis that combines the results of multiple scientific studies to draw more comprehensive conclusions.[1] (2) A statistical analysis that combines the results of multiple scientific studies, notably used to evaluate the effectiveness of turmeric in arthritis.[2] (3) A systematic review of past research studies that highlight the prevalence of anxiety and depression disorders among adolescents.[3] (4) A meta-analysis is a statistical analysis that combines the results of multiple scientific studies to identify patterns, discrepancies, or overall effects.[4] (5) A statistical analysis that combines the results of multiple scientific studies, used in the review to assess the cardiovascular safety of sulfonylureas.[5]
From: Journal of Indian Society of Periodontology
(1) A statistical method that combines the results of multiple studies to derive a more precise estimate of treatment effects.[6] (2) A statistical technique used to combine the results of multiple studies to identify overall trends and efficacy of treatments.[7] (3) A statistical method used to combine results from different studies to increase statistical power and provide a more comprehensive understanding of treatment effects.[8] (4) A statistical technique that combines the results of multiple studies to derive a more precise estimate of an effect or association.[9] (5) A statistical method that combines the results of multiple studies to arrive at a comprehensive conclusion.[10]
From: The Malaysian Journal of Medical Sciences
(1) A statistical analysis that combines the results of multiple scientific studies to identify patterns or overall effects.[11] (2) A statistical method that combines results from multiple studies to draw a broader conclusion about a particular subject.[12] (3) A statistical technique that combines the results of multiple studies to enhance the understanding of the correlation between two variables, such as PRL and TSH in infertile women.[13] (4) A statistical method that combines results from multiple studies to derive a comprehensive conclusion.[14] (5) A statistical analysis that combines the results of multiple scientific studies to evaluate the strength of evidence regarding PRKAA2 variations and type 2 diabetes risk.[15]
From: Journal of Ayurveda and Integrative Medicine
(1) A statistical technique used in this review to summarize and analyze data from multiple clinical trials.[16] (2) A research method that combines results from multiple studies to draw more comprehensive conclusions.[17] (3) A statistical technique that combines the results of multiple scientific studies to enhance understanding, particularly challenging in Ayurveda due to diverse methodologies.[18] (4) A method of combining results from multiple studies to assess the overall evidence, which showed only 33% of patients disclose TSM details to physicians.[19] (5) A statistical procedure that integrates results from multiple clinical trials to draw conclusions about treatment effects for diabetes.[20]
From: Journal of Ayurveda and Holistic Medicine
(1) A statistical method that combines results from multiple studies to derive broader conclusions about the prevalence and characteristics of Premenstrual Syndrome.[21] (2) A technique used to analyze data across various studies regarding the effectiveness of different mouthwashes, although the study did not officially conduct a meta-analysis.[22]
From: AYU (Journal of Research in Ayurveda)
(1) A statistical approach that combines the results of multiple studies to provide a comprehensive understanding of Ayurvedic research outcomes.[23] (2) An analysis of data from multiple studies to derive a comprehensive understanding of the effects of Ayurvedic interventions on diabetes.[24]
From: Ancient Science of Life
(1) A method of statistical analysis used to combine results from multiple studies, often to identify patterns or overall trends.[25]
From: International Ayurvedic Medical Journal
(1) A statistical technique that combines the results of multiple studies to come to a general conclusion.[26]