Systematic review in evidence-based risk assessment

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FARHAT, Nawal, Katya TSAIOUN, Patrick SAUNDERS-HASTINGS, Rebecca L. MORGAN, Siva RAMOJU, Thomas HARTUNG, Daniel KREWSKI, 2022. Systematic review in evidence-based risk assessment. In: Alternatives to Animal Experimentation : ALTEX. Springer Spektrum. 39(3), pp. 463-479. ISSN 0946-7785. eISSN 1868-8551. Available under: doi: 10.14573/altex.2004111

@article{Farhat2022Syste-58519, title={Systematic review in evidence-based risk assessment}, year={2022}, doi={10.14573/altex.2004111}, number={3}, volume={39}, issn={0946-7785}, journal={Alternatives to Animal Experimentation : ALTEX}, pages={463--479}, author={Farhat, Nawal and Tsaioun, Katya and Saunders-Hastings, Patrick and Morgan, Rebecca L. and Ramoju, Siva and Hartung, Thomas and Krewski, Daniel} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/58519"> <dcterms:issued>2022</dcterms:issued> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:contributor>Morgan, Rebecca L.</dc:contributor> <dc:creator>Farhat, Nawal</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Krewski, Daniel</dc:creator> <dc:creator>Saunders-Hastings, Patrick</dc:creator> <dc:contributor>Krewski, Daniel</dc:contributor> <dc:contributor>Saunders-Hastings, Patrick</dc:contributor> <dcterms:title>Systematic review in evidence-based risk assessment</dcterms:title> <dc:creator>Tsaioun, Katya</dc:creator> <dc:creator>Hartung, Thomas</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-09-07T10:08:51Z</dc:date> <dc:contributor>Tsaioun, Katya</dc:contributor> <dc:contributor>Hartung, Thomas</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/58519"/> <dc:contributor>Farhat, Nawal</dc:contributor> <dc:language>eng</dc:language> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-09-07T10:08:51Z</dcterms:available> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:abstract xml:lang="eng">Systematic reviews provide a structured framework for summarizing the available evidence in a comprehensive, objective, and transparent manner. They inform evidence-based guidelines in medicine, public policy, and more recently, in environmental health and toxicology. Many regulatory agencies have extended and adapted the well-established systematic review methods, initially developed for clinical studies, for their assessment needs. The use of systematic reviews to summarize evidence from existing human, animal, and mechanistic studies can reduce reliance on animal test data in risk assessment and can help avoid unnecessary duplication of animal experiments that have already been conducted. As alternative test methods can be expected to play an increasing role in human health risk assessment in the future, systematic reviews can be particularly helpful in validating these alternatives. The field of evidence-based toxicology has undergone extensive development since its first meeting in 2007 as a result of collaborative efforts among international experts and public health agencies, particularly with respect to the use of mechanistic data and evidence integration. The continued development and wider adoption of systematic review methodology can lead to better 3R implementation. As undertaking a systematic review can be a complex and lengthy process, it is important to understand the main steps involved. Key steps, along with current best practices, are described with references to guidance from organizations with expertise in evidence synthesis. Applications of systematic reviews in clinical, observational, and experimental studies are presented. Finally, software tools available to facilitate and increase the efficiency of completing a systematic review are described.</dcterms:abstract> <dc:contributor>Ramoju, Siva</dc:contributor> <dc:creator>Ramoju, Siva</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:creator>Morgan, Rebecca L.</dc:creator> </rdf:Description> </rdf:RDF>

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