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Estimation of clinical trial success rates and related parameters

Previous estimates of drug development success rates rely on relatively small samples from databases curated by the pharmaceutical industry and are subject to potential selection biases. Using a sample of 406 038 entries of clinical trial data for over 21 143 compounds from January 1, 2000 to Octobe...

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Detalles Bibliográficos
Autores principales: Wong, Chi Heem, Siah, Kien Wei, Lo, Andrew W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409418/
https://www.ncbi.nlm.nih.gov/pubmed/29394327
http://dx.doi.org/10.1093/biostatistics/kxx069
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author Wong, Chi Heem
Siah, Kien Wei
Lo, Andrew W
author_facet Wong, Chi Heem
Siah, Kien Wei
Lo, Andrew W
author_sort Wong, Chi Heem
collection PubMed
description Previous estimates of drug development success rates rely on relatively small samples from databases curated by the pharmaceutical industry and are subject to potential selection biases. Using a sample of 406 038 entries of clinical trial data for over 21 143 compounds from January 1, 2000 to October 31, 2015, we estimate aggregate clinical trial success rates and durations. We also compute disaggregated estimates across several trial features including disease type, clinical phase, industry or academic sponsor, biomarker presence, lead indication status, and time. In several cases, our results differ significantly in detail from widely cited statistics. For example, oncology has a 3.4% success rate in our sample vs. 5.1% in prior studies. However, after declining to 1.7% in 2012, this rate has improved to 2.5% and 8.3% in 2014 and 2015, respectively. In addition, trials that use biomarkers in patient-selection have higher overall success probabilities than trials without biomarkers.
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spelling pubmed-64094182019-03-15 Estimation of clinical trial success rates and related parameters Wong, Chi Heem Siah, Kien Wei Lo, Andrew W Biostatistics Articles Previous estimates of drug development success rates rely on relatively small samples from databases curated by the pharmaceutical industry and are subject to potential selection biases. Using a sample of 406 038 entries of clinical trial data for over 21 143 compounds from January 1, 2000 to October 31, 2015, we estimate aggregate clinical trial success rates and durations. We also compute disaggregated estimates across several trial features including disease type, clinical phase, industry or academic sponsor, biomarker presence, lead indication status, and time. In several cases, our results differ significantly in detail from widely cited statistics. For example, oncology has a 3.4% success rate in our sample vs. 5.1% in prior studies. However, after declining to 1.7% in 2012, this rate has improved to 2.5% and 8.3% in 2014 and 2015, respectively. In addition, trials that use biomarkers in patient-selection have higher overall success probabilities than trials without biomarkers. Oxford University Press 2019-04 2018-01-31 /pmc/articles/PMC6409418/ /pubmed/29394327 http://dx.doi.org/10.1093/biostatistics/kxx069 Text en © The Author 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Wong, Chi Heem
Siah, Kien Wei
Lo, Andrew W
Estimation of clinical trial success rates and related parameters
title Estimation of clinical trial success rates and related parameters
title_full Estimation of clinical trial success rates and related parameters
title_fullStr Estimation of clinical trial success rates and related parameters
title_full_unstemmed Estimation of clinical trial success rates and related parameters
title_short Estimation of clinical trial success rates and related parameters
title_sort estimation of clinical trial success rates and related parameters
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409418/
https://www.ncbi.nlm.nih.gov/pubmed/29394327
http://dx.doi.org/10.1093/biostatistics/kxx069
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