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Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
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Meta-analysis accelerator: a comprehensive tool for statistical data conversion in systematic reviews with

Abdallah Abbas1, Mahmoud Tarek Hefnawy2, Ahmed Negida2,3

  • 1Faculty of Medicine, Al-Azhar University, Damietta, Egypt. abdallah.abdelmoneam.abbas@gmail.com.

BMC Medical Research Methodology
|October 18, 2024
PubMed
Summary

Meta-Analysis Accelerator simplifies statistical data conversion for systematic reviews and meta-analyses. This tool enhances accuracy and efficiency, allowing researchers to focus on interpretation rather than manual calculations.

Keywords:
Data analysisData transformationMedical statisticsMeta converterMeta-analysisMeta-analysis acceleratorResearch toolStatistical conversionSystematic review

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Area of Science:

  • Medical Informatics
  • Biostatistics
  • Evidence-Based Medicine

Background:

  • Systematic reviews and meta-analyses are crucial for evidence-based medicine.
  • Inconsistent data reporting and complex calculations hinder the meta-analysis process.
  • Manual statistical conversions are error-prone and time-consuming.

Purpose of the Study:

  • To introduce Meta-Analysis Accelerator, a tool designed to streamline statistical data conversion for meta-analyses.
  • To address challenges in data transformation for systematic reviews.

Main Methods:

  • Meta-Analysis Accelerator offers 21 statistical conversions (e.g., median/IQR to mean/SD, SEM to SD, CI to SD).
  • Features an intuitive interface for accurate and efficient data conversion.
  • Website includes dedicated pages for conversions, requests, and information.

Main Results:

  • The tool, initially Meta Converter, has seen global adoption since October 2023.
  • Received 12,236 visits from March to May 2024, with 46% direct traffic.
  • Demonstrates international appeal and user trust.

Conclusions:

  • Meta-Analysis Accelerator improves meta-analysis efficiency and accuracy through reliable statistical conversion.
  • Its diverse conversions and user-friendly design make it essential for researchers.
  • Streamlines data transformation, enabling greater focus on interpretation and advancing systematic review quality.