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Development of an automated appendix generation system (ARGUS) for clinical study reports

Data handling and tabulation are a time-consuming job when writing appendices for clinical study reports. The authors have developed an automated appendix generation system (ARGUS) conforming to the CDISC/SDTM standard using SAS (version 9.3) and R (version 3.3.1: for PK plot generation). It consist...

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Detalles Bibliográficos
Autores principales: Jang, Dooyeon, Han, Seunghoon, Yim, Dong-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Clinical Pharmacology and Therapeutics 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033538/
https://www.ncbi.nlm.nih.gov/pubmed/32095457
http://dx.doi.org/10.12793/tcp.2017.25.1.34
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author Jang, Dooyeon
Han, Seunghoon
Yim, Dong-Seok
author_facet Jang, Dooyeon
Han, Seunghoon
Yim, Dong-Seok
author_sort Jang, Dooyeon
collection PubMed
description Data handling and tabulation are a time-consuming job when writing appendices for clinical study reports. The authors have developed an automated appendix generation system (ARGUS) conforming to the CDISC/SDTM standard using SAS (version 9.3) and R (version 3.3.1: for PK plot generation). It consists of the one main program and three subprograms. The program runs to convert a database file into an appendix document with about 100 tables and plots in MS Word format within one min after pressing the submit button under common desktop environments. We found that tasks of constructing appendices for a typical 2×2 crossover design study that have taken our team about 8 days were completed within 6 or 7 hours using the ARGUS system.
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spelling pubmed-70335382020-02-24 Development of an automated appendix generation system (ARGUS) for clinical study reports Jang, Dooyeon Han, Seunghoon Yim, Dong-Seok Transl Clin Pharmacol Original Article Data handling and tabulation are a time-consuming job when writing appendices for clinical study reports. The authors have developed an automated appendix generation system (ARGUS) conforming to the CDISC/SDTM standard using SAS (version 9.3) and R (version 3.3.1: for PK plot generation). It consists of the one main program and three subprograms. The program runs to convert a database file into an appendix document with about 100 tables and plots in MS Word format within one min after pressing the submit button under common desktop environments. We found that tasks of constructing appendices for a typical 2×2 crossover design study that have taken our team about 8 days were completed within 6 or 7 hours using the ARGUS system. Korean Society for Clinical Pharmacology and Therapeutics 2017-03 2017-03-15 /pmc/articles/PMC7033538/ /pubmed/32095457 http://dx.doi.org/10.12793/tcp.2017.25.1.34 Text en Copyright © 2017 Translational and Clinical Pharmacology http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/).
spellingShingle Original Article
Jang, Dooyeon
Han, Seunghoon
Yim, Dong-Seok
Development of an automated appendix generation system (ARGUS) for clinical study reports
title Development of an automated appendix generation system (ARGUS) for clinical study reports
title_full Development of an automated appendix generation system (ARGUS) for clinical study reports
title_fullStr Development of an automated appendix generation system (ARGUS) for clinical study reports
title_full_unstemmed Development of an automated appendix generation system (ARGUS) for clinical study reports
title_short Development of an automated appendix generation system (ARGUS) for clinical study reports
title_sort development of an automated appendix generation system (argus) for clinical study reports
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033538/
https://www.ncbi.nlm.nih.gov/pubmed/32095457
http://dx.doi.org/10.12793/tcp.2017.25.1.34
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