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Meta-analysis accelerator: a comprehensive tool for statistical data conversion in systematic reviews with meta-analysis
by
Abbas, Abdallah
, Hefnawy, Mahmoud Tarek
, Negida, Ahmed
in
Accuracy
/ Data analysis
/ Data conversion
/ Data Interpretation, Statistical
/ Data science methodologies
/ Data transformation
/ Design
/ Design and construction
/ Efficiency
/ Evidence
/ Evidence-based medicine
/ Evidence-Based Medicine - methods
/ Evidence-Based Medicine - standards
/ Evidence-Based Medicine - statistics & numerical data
/ Health Sciences
/ Humans
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Meta-analysis
/ Meta-Analysis as Topic
/ Methods
/ Research Design
/ Research tool
/ Researchers
/ Software
/ Statistical conversion
/ Statistical software
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Systematic review
/ Systematic Reviews as Topic - methods
/ Theory of Medicine/Bioethics
/ Usability
/ Use statistics
/ User feedback
/ User interface
/ Web applications
/ Web sites
2024
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Meta-analysis accelerator: a comprehensive tool for statistical data conversion in systematic reviews with meta-analysis
by
Abbas, Abdallah
, Hefnawy, Mahmoud Tarek
, Negida, Ahmed
in
Accuracy
/ Data analysis
/ Data conversion
/ Data Interpretation, Statistical
/ Data science methodologies
/ Data transformation
/ Design
/ Design and construction
/ Efficiency
/ Evidence
/ Evidence-based medicine
/ Evidence-Based Medicine - methods
/ Evidence-Based Medicine - standards
/ Evidence-Based Medicine - statistics & numerical data
/ Health Sciences
/ Humans
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Meta-analysis
/ Meta-Analysis as Topic
/ Methods
/ Research Design
/ Research tool
/ Researchers
/ Software
/ Statistical conversion
/ Statistical software
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Systematic review
/ Systematic Reviews as Topic - methods
/ Theory of Medicine/Bioethics
/ Usability
/ Use statistics
/ User feedback
/ User interface
/ Web applications
/ Web sites
2024
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Do you wish to request the book?
Meta-analysis accelerator: a comprehensive tool for statistical data conversion in systematic reviews with meta-analysis
by
Abbas, Abdallah
, Hefnawy, Mahmoud Tarek
, Negida, Ahmed
in
Accuracy
/ Data analysis
/ Data conversion
/ Data Interpretation, Statistical
/ Data science methodologies
/ Data transformation
/ Design
/ Design and construction
/ Efficiency
/ Evidence
/ Evidence-based medicine
/ Evidence-Based Medicine - methods
/ Evidence-Based Medicine - standards
/ Evidence-Based Medicine - statistics & numerical data
/ Health Sciences
/ Humans
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Meta-analysis
/ Meta-Analysis as Topic
/ Methods
/ Research Design
/ Research tool
/ Researchers
/ Software
/ Statistical conversion
/ Statistical software
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Systematic review
/ Systematic Reviews as Topic - methods
/ Theory of Medicine/Bioethics
/ Usability
/ Use statistics
/ User feedback
/ User interface
/ Web applications
/ Web sites
2024
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Meta-analysis accelerator: a comprehensive tool for statistical data conversion in systematic reviews with meta-analysis
Journal Article
Meta-analysis accelerator: a comprehensive tool for statistical data conversion in systematic reviews with meta-analysis
2024
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Overview
Background
Systematic review with meta-analysis integrates findings from multiple studies, offering robust conclusions on treatment effects and guiding evidence-based medicine. However, the process is often hampered by challenges such as inconsistent data reporting, complex calculations, and time constraints. Researchers must convert various statistical measures into a common format, which can be error-prone and labor-intensive without the right tools.
Implementation
Meta-Analysis Accelerator was developed to address these challenges. The tool offers 21 different statistical conversions, including median & interquartile range (IQR) to mean & standard deviation (SD), standard error of the mean (SEM) to SD, and confidence interval (CI) to SD for one and two groups, among others. It is designed with an intuitive interface, ensuring that users can navigate the tool easily and perform conversions accurately and efficiently. The website structure includes a home page, conversion page, request a conversion feature, about page, articles page, and privacy policy page. This comprehensive design supports the tool’s primary goal of simplifying the meta-analysis process.
Results
Since its initial release in October 2023 as Meta Converter and subsequent renaming to Meta-Analysis Accelerator, the tool has gained widespread use globally. From March 2024 to May 2024, it received 12,236 visits from countries such as Egypt, France, Indonesia, and the USA, indicating its international appeal and utility. Approximately 46% of the visits were direct, reflecting its popularity and trust among users.
Conclusions
Meta-Analysis Accelerator significantly enhances the efficiency and accuracy of meta-analysis of systematic reviews by providing a reliable platform for statistical data conversion. Its comprehensive variety of conversions, user-friendly interface, and continuous improvements make it an indispensable resource for researchers. The tool’s ability to streamline data transformation ensures that researchers can focus more on data interpretation and less on manual calculations, thus advancing the quality and ease of conducting systematic reviews and meta-analyses.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Data Interpretation, Statistical
/ Design
/ Evidence
/ Evidence-Based Medicine - methods
/ Evidence-Based Medicine - standards
/ Evidence-Based Medicine - statistics & numerical data
/ Humans
/ Medicine
/ Methods
/ Software
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Systematic Reviews as Topic - methods
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