The searchbuildR shiny app: A new implementation of the objective approach for search strategy development in systematic reviews

Cochrane Evidence Synthesis and Methods Pub Date : 2024-06-11 DOI:10.1002/cesm.12078

Claudia Kapp, Naomi Fujita-Rohwerder, Jona Lilienthal, Wiebke Sieben, Siw Waffenschmidt, Elke Hausner

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Abstract

Introduction

One of the main tasks in information retrieval is the development of Boolean search strategies for systematic searches in bibliographic databases. This includes the identification of free-text terms and controlled vocabulary. IQWiG has previously implemented its objective approach for search strategy development using a fee-based text analysis software. However, this implementation is not fully automated, due to a lack of technical options. The aim of our project was to develop a text analysis tool for the development of Boolean search strategies using R.

Methods

We adopt an incremental approach to software development, with the first goal being to develop a minimum viable product for the previously defined use cases. To create an interactive user interface, we use the shiny framework.

Results

Our newly developed shiny app searchbuildR is a text analysis tool with a point-and-click user interface, that automatically extracts and ranks terms from titles, abstracts, and MeSH terms of a given test set of PubMed records. It returns searchable, interactive tables of free-text and MeSH terms. Each free-text term can also be viewed within its original context in the full titles and abstracts or in a user-defined word window. In addition, 2-word combinations are extracted and also provided as an interactive table to help the user identify free-text term combinations, that can be searched with proximity operators in Boolean searches. The results can be exported to a CSV file. The new implementation with searchbuildR was evaluated by validating the text analysis results against the results of the previously used fee-based software.

Conclusions

QWiG has developed the shiny app searchbuildR to support the development of search strategies in systematic reviews. It is open source and can be used by researchers and other information specialists without extensive R or programming skills. The package code is openly available on GitHub at www.github.com/IQWiG/searchbuildR.

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searchbuildR闪亮应用程序：系统综述检索策略开发目标方法的新实施方案

引言信息检索的主要任务之一是为书目数据库的系统检索制定布尔检索策略。这包括识别自由文本术语和控制词汇。IQWiG 以前曾使用收费的文本分析软件来实施制定检索策略的目标方法。然而，由于缺乏技术选择，这种实施方法并非完全自动化。我们项目的目的是开发一个文本分析工具，用于使用 R 开发布尔搜索策略。方法我们采用渐进式方法进行软件开发，第一个目标是为之前定义的用例开发一个最小可行产品。为了创建交互式用户界面，我们使用了 shiny 框架。结果我们新开发的shiny应用程序searchbuildR是一款具有点击式用户界面的文本分析工具，可自动从给定的PubMed记录测试集中的标题、摘要和MeSH术语中提取术语并对其进行排序。它可返回可搜索的自由文本和 MeSH 术语交互式表格。每个自由文本术语还可以在完整标题和摘要的原始上下文中或在用户定义的单词窗口中查看。此外，还可提取 2 个词的组合，并以交互式表格的形式提供，以帮助用户识别自由文本术语组合，这些组合可在布尔搜索中使用邻近操作符进行搜索。搜索结果可导出为 CSV 文件。通过将文本分析结果与以前使用的收费软件的结果进行对比，对 searchbuildR 的新实施方案进行了评估。结论 QWiG 开发了一款闪亮的应用程序 searchbuildR，以支持系统综述中检索策略的开发。它是开源软件，研究人员和其他信息专家无需具备丰富的 R 语言或编程技能即可使用。软件包代码可在 GitHub 上公开获取：www.github.com/IQWiG/searchbuildR。

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Cochrane Evidence Synthesis and Methods

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