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Causality Assessment for Suspected DILI During Clinical Phases of Drug Development
Causality assessment is a critical step in establishing the diagnosis of drug induced liver injury (DILI) during drug development. DILI may resemble almost any type of liver disease, and often presents a serious challenge to clinical investigators and drug makers. The diagnosis of DILI is largely ba...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4212150/ https://www.ncbi.nlm.nih.gov/pubmed/25352327 http://dx.doi.org/10.1007/s40264-014-0185-4 |
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author | Regev, Arie Seeff, Leonard B. Merz, Michael Ormarsdottir, Sif Aithal, Guruprasad P. Gallivan, Jim Watkins, Paul B. |
author_facet | Regev, Arie Seeff, Leonard B. Merz, Michael Ormarsdottir, Sif Aithal, Guruprasad P. Gallivan, Jim Watkins, Paul B. |
author_sort | Regev, Arie |
collection | PubMed |
description | Causality assessment is a critical step in establishing the diagnosis of drug induced liver injury (DILI) during drug development. DILI may resemble almost any type of liver disease, and often presents a serious challenge to clinical investigators and drug makers. The diagnosis of DILI is largely based upon a combination of a compatible clinical course, exclusion of all other reasonable causes, resemblance of clinical and pathological features to known features of liver injury due to the drug (i.e., “drug’s signature”), and incidence of liver injury among patients treated with the drug compared to placebo or comparator. Causality assessment for suspected DILI is currently performed using either evaluation by physicians with expertise in liver disorders (i.e., expert opinion) or standardized scoring instruments such as the Roussel Uclaf Causality Assessment Method (RUCAM). Both approaches are widely used in the post marketing setting. Causality assessment based on expert opinion is considered superior to standardized instruments such as RUCAM, in the setting of drug development, and is currently the preferred approach during clinical trials. There is a need for a systematic revision of RUCAM that will render it more suitable for the setting of clinical trials and drug development. Careful monitoring and meticulous data collection during clinical trials are essential in all cases with established liver injury to allow for a proper causality assessment. A workshop was convened to discuss best practices for the assessment of drug-induced liver injury (DILI) in clinical trials. This publication is based on the conclusions of this workshop. |
format | Online Article Text |
id | pubmed-4212150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-42121502014-11-05 Causality Assessment for Suspected DILI During Clinical Phases of Drug Development Regev, Arie Seeff, Leonard B. Merz, Michael Ormarsdottir, Sif Aithal, Guruprasad P. Gallivan, Jim Watkins, Paul B. Drug Saf Review Article Causality assessment is a critical step in establishing the diagnosis of drug induced liver injury (DILI) during drug development. DILI may resemble almost any type of liver disease, and often presents a serious challenge to clinical investigators and drug makers. The diagnosis of DILI is largely based upon a combination of a compatible clinical course, exclusion of all other reasonable causes, resemblance of clinical and pathological features to known features of liver injury due to the drug (i.e., “drug’s signature”), and incidence of liver injury among patients treated with the drug compared to placebo or comparator. Causality assessment for suspected DILI is currently performed using either evaluation by physicians with expertise in liver disorders (i.e., expert opinion) or standardized scoring instruments such as the Roussel Uclaf Causality Assessment Method (RUCAM). Both approaches are widely used in the post marketing setting. Causality assessment based on expert opinion is considered superior to standardized instruments such as RUCAM, in the setting of drug development, and is currently the preferred approach during clinical trials. There is a need for a systematic revision of RUCAM that will render it more suitable for the setting of clinical trials and drug development. Careful monitoring and meticulous data collection during clinical trials are essential in all cases with established liver injury to allow for a proper causality assessment. A workshop was convened to discuss best practices for the assessment of drug-induced liver injury (DILI) in clinical trials. This publication is based on the conclusions of this workshop. Springer International Publishing 2014-10-29 2014 /pmc/articles/PMC4212150/ /pubmed/25352327 http://dx.doi.org/10.1007/s40264-014-0185-4 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by-nc/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Review Article Regev, Arie Seeff, Leonard B. Merz, Michael Ormarsdottir, Sif Aithal, Guruprasad P. Gallivan, Jim Watkins, Paul B. Causality Assessment for Suspected DILI During Clinical Phases of Drug Development |
title | Causality Assessment for Suspected DILI During Clinical Phases of Drug Development |
title_full | Causality Assessment for Suspected DILI During Clinical Phases of Drug Development |
title_fullStr | Causality Assessment for Suspected DILI During Clinical Phases of Drug Development |
title_full_unstemmed | Causality Assessment for Suspected DILI During Clinical Phases of Drug Development |
title_short | Causality Assessment for Suspected DILI During Clinical Phases of Drug Development |
title_sort | causality assessment for suspected dili during clinical phases of drug development |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4212150/ https://www.ncbi.nlm.nih.gov/pubmed/25352327 http://dx.doi.org/10.1007/s40264-014-0185-4 |
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