ArticleCochrane evidence synthesis and methods2024
The searchbuildR shiny app: A new implementation of the objective approach for search strategy development in systematic reviews.
Article in Cochrane evidence synthesis and methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- The searchbuildR shiny app: A new implementation of the objective approach for search strategy development in systematic reviews.Cochrane evidence synthesis and methods · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.