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Intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives
BACKGROUND: Intention-to-treat (ITT) analysis is commonly recommended for use, due to its benefits on external validity, in randomized, controlled trials (RCTs). No published reports describe how ITT analysis, as well as alternative approaches, are used in anti-infective RCTs. The purpose of this st...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997732/ https://www.ncbi.nlm.nih.gov/pubmed/27557676 http://dx.doi.org/10.1186/s12874-016-0215-2 |
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author | Beckett, Robert D. Loeser, Kathryn C. Bowman, Kathryn R. Towne, Trent G. |
author_facet | Beckett, Robert D. Loeser, Kathryn C. Bowman, Kathryn R. Towne, Trent G. |
author_sort | Beckett, Robert D. |
collection | PubMed |
description | BACKGROUND: Intention-to-treat (ITT) analysis is commonly recommended for use, due to its benefits on external validity, in randomized, controlled trials (RCTs). No published reports describe how ITT analysis, as well as alternative approaches, are used in anti-infective RCTs. The purpose of this study is to describe the extent to which ITT analysis and alternative data approaches are used, the practices used to handle missing subject data, and whether non-inferiority trials present both ITT and per protocol (PP) analyses. Results of this analysis will help guide end users of infectious diseases primary drug literature. METHODS: A cross-sectional study of RCTs of anti-infectives published from January 1, 2013 through December 31, 2014 was conducted. A PubMed search identified relevant articles published in five specialty infectious diseases journals and four general medical journals. Each article was reviewed by two independent investigators with discrepancies resolved by consensus. Descriptive statistics were used to quantify results. RESULTS: One hundred four articles met study criteria. The most common medication classes represented in the RCTs were hepatitis C antivirals (26 %), antibacterials (25 %), and antiretrovirals (21 %). Thirty studies (29 %) were non-inferiority trials. Most studies (77 %) described use of ITT or modified ITT (mITT) in their methods. Of the ITT and mITT studies, most (73 %) did not describe practices used to handle missing data. Most (97 %) non-inferiority trials described use of ITT, mITT, or both; however, only 15 (50 %) also described use of PP. CONCLUSIONS: RCTs of anti-infectives commonly employ ITT and mITT. Most do not describe how missing data were addressed. Non-inferiority trials of anti-infectives do not consistently employ both ITT and PP populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-016-0215-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4997732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49977322016-08-26 Intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives Beckett, Robert D. Loeser, Kathryn C. Bowman, Kathryn R. Towne, Trent G. BMC Med Res Methodol Research Article BACKGROUND: Intention-to-treat (ITT) analysis is commonly recommended for use, due to its benefits on external validity, in randomized, controlled trials (RCTs). No published reports describe how ITT analysis, as well as alternative approaches, are used in anti-infective RCTs. The purpose of this study is to describe the extent to which ITT analysis and alternative data approaches are used, the practices used to handle missing subject data, and whether non-inferiority trials present both ITT and per protocol (PP) analyses. Results of this analysis will help guide end users of infectious diseases primary drug literature. METHODS: A cross-sectional study of RCTs of anti-infectives published from January 1, 2013 through December 31, 2014 was conducted. A PubMed search identified relevant articles published in five specialty infectious diseases journals and four general medical journals. Each article was reviewed by two independent investigators with discrepancies resolved by consensus. Descriptive statistics were used to quantify results. RESULTS: One hundred four articles met study criteria. The most common medication classes represented in the RCTs were hepatitis C antivirals (26 %), antibacterials (25 %), and antiretrovirals (21 %). Thirty studies (29 %) were non-inferiority trials. Most studies (77 %) described use of ITT or modified ITT (mITT) in their methods. Of the ITT and mITT studies, most (73 %) did not describe practices used to handle missing data. Most (97 %) non-inferiority trials described use of ITT, mITT, or both; however, only 15 (50 %) also described use of PP. CONCLUSIONS: RCTs of anti-infectives commonly employ ITT and mITT. Most do not describe how missing data were addressed. Non-inferiority trials of anti-infectives do not consistently employ both ITT and PP populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-016-0215-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-24 /pmc/articles/PMC4997732/ /pubmed/27557676 http://dx.doi.org/10.1186/s12874-016-0215-2 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Beckett, Robert D. Loeser, Kathryn C. Bowman, Kathryn R. Towne, Trent G. Intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives |
title | Intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives |
title_full | Intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives |
title_fullStr | Intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives |
title_full_unstemmed | Intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives |
title_short | Intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives |
title_sort | intention-to-treat and transparency of related practices in randomized, controlled trials of anti-infectives |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997732/ https://www.ncbi.nlm.nih.gov/pubmed/27557676 http://dx.doi.org/10.1186/s12874-016-0215-2 |
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