Identifying human toxicodynamic variability: A systematic evidence map of the current knowledge
Résumé fourni par la source
Current chemical risk assessment uses a default uncertainty factor (UF) of 3.16 for toxicodynamic (TD) variability in humans. The objective was to create a systematic evidence map (SEM) of the human variability in TD by identifying and organizing the available empirical data to assess if a further refinement of the default UF of 3.16 for TD can be achieved. PubMed and Web of Science™ were searched from 2004-2023. Studies were screened according to the eligibility criteria. Inclusion criteria included studies, where TD could be separated from toxicokinetics (TK) to exclude an impact of TK on TD variability. The literature search retrieved 2408 studies. Manual screening identified 23 in vitro studies assessing human TD variability quantitively, of which only seven in vitro studies provided quantitative estimates of a TD variability factor. No in vivo study met the inclusion criteria. Several studies found TD UF of 3.16 not covering human variability; others did. However, the data were heterogeneous, and variability in Points of Departure (PODs) and methods used to estimate TD variability complicated comparisons across studies. A standardized approach for TDVFs determination is identified . This SEM underscores the scarcity of data assessing human variability in TD, while omitting the influence of TK. • Limited data reporting quantitively on human TD variability without impact from TK • Only seven out of 23 eligible publications derived human TDVF (or similar value) • Some studies found default TD UF of 3.16 covered human variability; others didn't • Comparing derived TDVFs with default TD UF is difficult due to data heterogeneity • A need for a common method for determining TDVFs was identified
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Identifying human toxicodynamic variability: A systematic evidence map of the current knowledge
- Date Crossref
- 01/09/2025
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Institutions déclarées
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