Literature DB >> 11502152

The use and evaluation of primary data in 29 trichloroethylene carcinogen risk assessments.

C Rudén1.   

Abstract

This paper reports the results from a detailed study on how risk assessments of chemicals are actually made. The study is performed by comparing 29 cancer risk assessments made of one and the same chemical substance, namely, trichloroethylene. In this paper, the conclusions that are drawn in these risk assessment documents are described, and differences between the conclusions are explored. This is made within the framework of a proposed cancer risk assessment index. The selection of scientific data for risk assessment purposes is analyzed and the different risk assessors' interpretations and evaluations of individual primary data are compared. It is concluded that the data sets utilized by the trichloroethylene risk assessors are surprisingly incomplete and that biased data selection may have influenced some of the risk assessors' conclusions. Different risk assessors often interpret and evaluate one and the same study in different ways. There are also indications of both interpretation bias and evaluation bias for some of the risk assessors. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11502152     DOI: 10.1006/rtph.2001.1482

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  4 in total

1.  The first step in the development of Text Mining technology for Cancer Risk Assessment: identifying and organizing scientific evidence in risk assessment literature.

Authors:  Anna Korhonen; Ilona Silins; Lin Sun; Ulla Stenius
Journal:  BMC Bioinformatics       Date:  2009-09-22       Impact factor: 3.169

Review 2.  Perspectives on In Vitro to In Vivo Extrapolations.

Authors:  Thomas Hartung
Journal:  Appl In Vitro Toxicol       Date:  2018-12-08

3.  Internationalization of read-across as a validated new approach method (NAM) for regulatory toxicology.

Authors:  Costanza Rovida; Tara Barton-Maclaren; Emilio Benfenati; Francesca Caloni; P. Charukeshi Chandrasekera; Christophe Chesné; Mark T D Cronin; Joop De Knecht; Daniel R Dietrich; Sylvia E Escher; Suzanne Fitzpatrick; Brenna Flannery; Matthias Herzler; Susanne Hougaard Bennekou; Bruno Hubesch; Hennicke Kamp; Jaffar Kisitu; Nicole Kleinstreuer; Simona Kovarich; Marcel Leist; Alexandra Maertens; Kerry Nugent; Giorgia Pallocca; Manuel Pastor; Grace Patlewicz; Manuela Pavan; Octavio Presgrave; Lena Smirnova; Michael Schwarz; Takashi Yamada; Thomas Hartung
Journal:  ALTEX       Date:  2020-04-30       Impact factor: 6.250

4.  Qualichem in vivo: a tool for assessing the quality of in vivo studies and its application for bisphenol A.

Authors:  Laura Maxim; Jeroen P van der Sluijs
Journal:  PLoS One       Date:  2014-01-29       Impact factor: 3.240

  4 in total

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