Cargando…
Rethinking Statistical Approaches to Evaluating Drug Safety
PURPOSE: The current methods used to evaluate the efficacy of drug products are inadequate. We propose a non-inferiority approach to prove the safety of drugs. MATERIALS AND METHODS: Traditional hypotheses for the evaluation of the safety of drugs are based on proof of hazard, which have proven to b...
Autor principal: | |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Yonsei University College of Medicine
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2628183/ https://www.ncbi.nlm.nih.gov/pubmed/18159580 http://dx.doi.org/10.3349/ymj.2007.48.6.895 |
_version_ | 1782163677549428736 |
---|---|
author | Liu, Jen-pei |
author_facet | Liu, Jen-pei |
author_sort | Liu, Jen-pei |
collection | PubMed |
description | PURPOSE: The current methods used to evaluate the efficacy of drug products are inadequate. We propose a non-inferiority approach to prove the safety of drugs. MATERIALS AND METHODS: Traditional hypotheses for the evaluation of the safety of drugs are based on proof of hazard, which have proven to be inadequate. Therefore, based on the concept of proof of safety, the non-inferiority hypothesis is employed to prove that the risk of new drugs does not exceed a pre-specified allowable safety margin, hence proving that a drug has no excessive risk. The results from papers published on Vioxx® and Avandia® are used to illustrate the difference between the traditional approach for proof of hazard and the non-inferiority approach for proof of safety. RESULTS: The p-values from traditional hypotheses were greater than 0.05, and failed to demonstrate that Vioxx® and Avandia® are of cardiovascular hazard. However, these results cannot prove that both Vioxx® and Avandia® are of no cardiovascular risk. On the other hand, the non-inferiority approach can prove that they are of excessive cardiovascular risk. CONCLUSION: The non-inferiority approach is appropriate to prove the safety of drugs. |
format | Text |
id | pubmed-2628183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Yonsei University College of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-26281832009-02-02 Rethinking Statistical Approaches to Evaluating Drug Safety Liu, Jen-pei Yonsei Med J Review Article PURPOSE: The current methods used to evaluate the efficacy of drug products are inadequate. We propose a non-inferiority approach to prove the safety of drugs. MATERIALS AND METHODS: Traditional hypotheses for the evaluation of the safety of drugs are based on proof of hazard, which have proven to be inadequate. Therefore, based on the concept of proof of safety, the non-inferiority hypothesis is employed to prove that the risk of new drugs does not exceed a pre-specified allowable safety margin, hence proving that a drug has no excessive risk. The results from papers published on Vioxx® and Avandia® are used to illustrate the difference between the traditional approach for proof of hazard and the non-inferiority approach for proof of safety. RESULTS: The p-values from traditional hypotheses were greater than 0.05, and failed to demonstrate that Vioxx® and Avandia® are of cardiovascular hazard. However, these results cannot prove that both Vioxx® and Avandia® are of no cardiovascular risk. On the other hand, the non-inferiority approach can prove that they are of excessive cardiovascular risk. CONCLUSION: The non-inferiority approach is appropriate to prove the safety of drugs. Yonsei University College of Medicine 2007-12-31 2007-12-20 /pmc/articles/PMC2628183/ /pubmed/18159580 http://dx.doi.org/10.3349/ymj.2007.48.6.895 Text en Copyright © 2007 The Yonsei University College of Medicine http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Liu, Jen-pei Rethinking Statistical Approaches to Evaluating Drug Safety |
title | Rethinking Statistical Approaches to Evaluating Drug Safety |
title_full | Rethinking Statistical Approaches to Evaluating Drug Safety |
title_fullStr | Rethinking Statistical Approaches to Evaluating Drug Safety |
title_full_unstemmed | Rethinking Statistical Approaches to Evaluating Drug Safety |
title_short | Rethinking Statistical Approaches to Evaluating Drug Safety |
title_sort | rethinking statistical approaches to evaluating drug safety |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2628183/ https://www.ncbi.nlm.nih.gov/pubmed/18159580 http://dx.doi.org/10.3349/ymj.2007.48.6.895 |
work_keys_str_mv | AT liujenpei rethinkingstatisticalapproachestoevaluatingdrugsafety |