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Using historical control data in bioassays for regulatory toxicology.
Kluxen, Felix M; Weber, Klaus; Strupp, Christian; Jensen, Signe M; Hothorn, Ludwig A; Garcin, Jean-Christophe; Hofmann, Thomas.
Affiliation
  • Kluxen FM; ADAMA Deutschland GmbH, Cologne, Germany. Electronic address: felix.kluxen@adama.com.
  • Weber K; Anapath Services GmbH, Liestal, Switzerland.
  • Strupp C; Gowan Crop Protection Ltd., Reading, United Kingdom.
  • Jensen SM; Department of Plant and Efoldnvironmental Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Hothorn LA; Leibniz University of Hannover (retired), Lauenau, Germany.
  • Garcin JC; Bayer SAS, Sophia Antipolis, France.
  • Hofmann T; BASF SE, Ludwigshafen, Germany.
Regul Toxicol Pharmacol ; 125: 105024, 2021 Oct.
Article de En | MEDLINE | ID: mdl-34364928
Historical control data (HCD) consist of pooled control group responses from bioassays. These data must be collected and are often used or reported in regulatory toxicology studies for multiple purposes: as quality assurance for the test system, to help identify toxicological effects and their effect-size relevance and to address the statistical multiple comparison problem. The current manuscript reviews the various classical and potential new approaches for using HCD. Issues in current practice are identified and recommendations for improved use and discussion are provided. Furthermore, stakeholders are invited to discuss whether it is necessary to consider uncertainty when using HCD formally and statistically in toxicological discussions and whether binary inclusion/exclusion criteria for HCD should be revised to a tiered information contribution to assessments. Overall, the critical value of HCD in toxicological bioassays is highlighted when used in a weight-of-evidence assessment.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Toxicologie / Dosage biologique / Bases de données factuelles Type d'étude: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Langue: En Journal: Regul Toxicol Pharmacol Année: 2021 Type de document: Article Pays de publication: Pays-Bas

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Toxicologie / Dosage biologique / Bases de données factuelles Type d'étude: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Langue: En Journal: Regul Toxicol Pharmacol Année: 2021 Type de document: Article Pays de publication: Pays-Bas