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Analysis of clinical trial registry entry histories using the novel R package cthist

Historical clinical trial registry data can only be retrieved by manually accessing individual clinical trials through registry websites. This limits the feasibility, accuracy and reproducibility of certain kinds of research on clinical trial activity and presents challenges to the transparency of t...

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Detalles Bibliográficos
Autor principal: Carlisle, Benjamin Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249399/
https://www.ncbi.nlm.nih.gov/pubmed/35776915
http://dx.doi.org/10.1371/journal.pone.0270909
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author Carlisle, Benjamin Gregory
author_facet Carlisle, Benjamin Gregory
author_sort Carlisle, Benjamin Gregory
collection PubMed
description Historical clinical trial registry data can only be retrieved by manually accessing individual clinical trials through registry websites. This limits the feasibility, accuracy and reproducibility of certain kinds of research on clinical trial activity and presents challenges to the transparency of the enterprise of human research. This paper presents cthist, a novel, free and open source R package that enables automated scraping of clinical trial registry entry histories and returns structured data for analysis. Documentation of the implementation of the package cthist is provided, as well as 3 brief case studies with example code.
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spelling pubmed-92493992022-07-02 Analysis of clinical trial registry entry histories using the novel R package cthist Carlisle, Benjamin Gregory PLoS One Research Article Historical clinical trial registry data can only be retrieved by manually accessing individual clinical trials through registry websites. This limits the feasibility, accuracy and reproducibility of certain kinds of research on clinical trial activity and presents challenges to the transparency of the enterprise of human research. This paper presents cthist, a novel, free and open source R package that enables automated scraping of clinical trial registry entry histories and returns structured data for analysis. Documentation of the implementation of the package cthist is provided, as well as 3 brief case studies with example code. Public Library of Science 2022-07-01 /pmc/articles/PMC9249399/ /pubmed/35776915 http://dx.doi.org/10.1371/journal.pone.0270909 Text en © 2022 Benjamin Gregory Carlisle https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Carlisle, Benjamin Gregory
Analysis of clinical trial registry entry histories using the novel R package cthist
title Analysis of clinical trial registry entry histories using the novel R package cthist
title_full Analysis of clinical trial registry entry histories using the novel R package cthist
title_fullStr Analysis of clinical trial registry entry histories using the novel R package cthist
title_full_unstemmed Analysis of clinical trial registry entry histories using the novel R package cthist
title_short Analysis of clinical trial registry entry histories using the novel R package cthist
title_sort analysis of clinical trial registry entry histories using the novel r package cthist
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249399/
https://www.ncbi.nlm.nih.gov/pubmed/35776915
http://dx.doi.org/10.1371/journal.pone.0270909
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