amstar2Vis: An R package for presenting the critical appraisal of systematic reviews based on the items of AMSTAR 2

IF 5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Konstantinos I. Bougioukas, Paschalis Karakasis, Konstantinos Pamporis, Emmanouil Bouras, Anna-Bettina Haidich
{"title":"amstar2Vis: An R package for presenting the critical appraisal of systematic reviews based on the items of AMSTAR 2","authors":"Konstantinos I. Bougioukas,&nbsp;Paschalis Karakasis,&nbsp;Konstantinos Pamporis,&nbsp;Emmanouil Bouras,&nbsp;Anna-Bettina Haidich","doi":"10.1002/jrsm.1705","DOIUrl":null,"url":null,"abstract":"<p>Systematic reviews (SRs) have an important role in the healthcare decision-making practice. Assessing the overall confidence in the results of SRs using quality assessment tools, such as “A MeaSurement Tool to Assess Systematic Reviews 2” (AMSTAR 2), is crucial since not all SRs are conducted using the most rigorous methods. In this article, we introduce a free, open-source R package called “amstar2Vis” (https://github.com/bougioukas/amstar2Vis) that provides easy-to-use functions for presenting the critical appraisal of SRs, based on the items of AMSTAR 2 checklist. An illustrative example is outlined, describing the steps involved in creating a detailed table with the item ratings and the overall confidence ratings, generating a stacked bar plot that shows the distribution of ratings as percentages of SRs for each AMSTAR 2 item, and creating a “ggplot2” graph that shows the distribution of overall confidence ratings (“Critically Low,” “Low,” “Moderate,” or “High”). We expect “amstar2Vis” to be useful for overview authors and methodologists who assess the quality of SRs with AMSTAR 2 checklist and facilitate the production of pertinent publication-ready tables and figures. Future research and applications could further investigate the functionality or potential improvements of our package.</p>","PeriodicalId":226,"journal":{"name":"Research Synthesis Methods","volume":"15 3","pages":"512-522"},"PeriodicalIF":5.0000,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Synthesis Methods","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jrsm.1705","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Systematic reviews (SRs) have an important role in the healthcare decision-making practice. Assessing the overall confidence in the results of SRs using quality assessment tools, such as “A MeaSurement Tool to Assess Systematic Reviews 2” (AMSTAR 2), is crucial since not all SRs are conducted using the most rigorous methods. In this article, we introduce a free, open-source R package called “amstar2Vis” (https://github.com/bougioukas/amstar2Vis) that provides easy-to-use functions for presenting the critical appraisal of SRs, based on the items of AMSTAR 2 checklist. An illustrative example is outlined, describing the steps involved in creating a detailed table with the item ratings and the overall confidence ratings, generating a stacked bar plot that shows the distribution of ratings as percentages of SRs for each AMSTAR 2 item, and creating a “ggplot2” graph that shows the distribution of overall confidence ratings (“Critically Low,” “Low,” “Moderate,” or “High”). We expect “amstar2Vis” to be useful for overview authors and methodologists who assess the quality of SRs with AMSTAR 2 checklist and facilitate the production of pertinent publication-ready tables and figures. Future research and applications could further investigate the functionality or potential improvements of our package.

amstar2Vis:一个 R 软件包,用于根据 AMSTAR 2 的项目对系统综述进行批判性评估。
系统综述(SR)在医疗决策实践中发挥着重要作用。使用质量评估工具(如 "A MeaSurement Tool to Assess Systematic Reviews 2" (AMSTAR 2))评估系统综述结果的总体可信度至关重要,因为并非所有系统综述都采用了最严格的方法。本文介绍了一个名为 "amstar2Vis "的免费开源 R 软件包 (https://github.com/bougioukas/amstar2Vis),该软件包提供了易于使用的功能,可根据 AMSTAR 2 检查表中的项目展示对系统综述的批判性评价。我们列举了一个示例,描述了创建包含项目评级和总体置信度评级的详细表格、生成显示每个 AMSTAR 2 项目的 SR 百分比评级分布的堆叠条形图,以及创建显示总体置信度评级分布("极低"、"低"、"中 "或 "高")的 "ggplot2 "图所涉及的步骤。我们希望 "amstar2Vis "能为综述作者和使用 AMSTAR 2 检查表评估研究报告质量的方法论专家提供帮助,并为制作相关的出版准备表和图提供便利。未来的研究和应用可以进一步研究我们软件包的功能或潜在改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Research Synthesis Methods
Research Synthesis Methods MATHEMATICAL & COMPUTATIONAL BIOLOGYMULTID-MULTIDISCIPLINARY SCIENCES
CiteScore
16.90
自引率
3.10%
发文量
75
期刊介绍: Research Synthesis Methods is a reputable, peer-reviewed journal that focuses on the development and dissemination of methods for conducting systematic research synthesis. Our aim is to advance the knowledge and application of research synthesis methods across various disciplines. Our journal provides a platform for the exchange of ideas and knowledge related to designing, conducting, analyzing, interpreting, reporting, and applying research synthesis. While research synthesis is commonly practiced in the health and social sciences, our journal also welcomes contributions from other fields to enrich the methodologies employed in research synthesis across scientific disciplines. By bridging different disciplines, we aim to foster collaboration and cross-fertilization of ideas, ultimately enhancing the quality and effectiveness of research synthesis methods. Whether you are a researcher, practitioner, or stakeholder involved in research synthesis, our journal strives to offer valuable insights and practical guidance for your work.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信