Faculty of Medicine, Al-Azhar University, Damietta, Egypt.
Faculty of Medicine, Zagazig University, Zagazig, Egypt.
BMC Med Res Methodol. 2024 Oct 18;24(1):243. doi: 10.1186/s12874-024-02356-6.
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.
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.
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.
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.
系统评价与荟萃分析整合了多项研究的结果，提供了关于治疗效果的可靠结论，并指导循证医学。然而，该过程常常受到数据报告不一致、复杂计算和时间限制等挑战的阻碍。研究人员必须将各种统计测量值转换为通用格式，如果没有正确的工具，这可能容易出错且劳动强度大。
Meta-Analysis Accelerator 是为了解决这些挑战而开发的。该工具提供了 21 种不同的统计转换，包括中位数和四分位距（IQR）到均值和标准差（SD）、均值的标准误差（SEM）到 SD、以及一组和两组的置信区间（CI）到 SD 等。它具有直观的界面设计，确保用户可以轻松地使用该工具，并准确高效地进行转换。该网站结构包括主页、转换页面、请求转换功能、关于页面、文章页面和隐私政策页面。这种全面的设计支持该工具简化荟萃分析过程的主要目标。
自 2023 年 10 月首次发布名为 Meta Converter 并随后更名为 Meta-Analysis Accelerator 以来，该工具在全球范围内得到了广泛应用。从 2024 年 3 月到 2024 年 5 月，它收到了来自埃及、法国、印度尼西亚和美国等国家的 12236 次访问，表明它具有国际吸引力和实用性。大约 46%的访问是直接访问，反映了用户对其的欢迎度和信任度。
Meta-Analysis Accelerator 通过为统计数据转换提供可靠的平台，极大地提高了系统评价荟萃分析的效率和准确性。它提供了广泛的转换种类、用户友好的界面以及不断的改进，使其成为研究人员不可或缺的资源。该工具转换数据的能力确保研究人员可以更多地关注数据解释，而减少手动计算，从而提高系统评价和荟萃分析的质量和易用性。
