{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T18:33:53Z","timestamp":1789929233268,"version":"4.0.1"},"reference-count":44,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2009,5,29]],"date-time":"2009-05-29T00:00:00Z","timestamp":1243555200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J of Applied Toxicology"],"published-print":{"date-parts":[[2009,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Approaches to the interpretation of guinea pig skin sensitization data for both hazard identification and potency assessment have been understood for many years. More recently, the local lymph node assay has to a large extent replaced the earlier guinea pig assays, not least because it provides a more clearly defined and transparent means of identifying hazard, and the ability to measure relative skin sensitization potency. However, beginning in 2009 there will be considerable pressure replace all <jats:italic>in vivo<\/jats:italic> assays for skin sensitization with alternative approaches that do not require the use of animals (<jats:italic>in vitro<\/jats:italic> and\/or <jats:italic>in silico<\/jats:italic> methods). As there is a common view that multiple assays will be needed to achieve complete replacement of the <jats:italic>in vivo<\/jats:italic> tests, a strategy for the integration of the available data will be required. There has been at least one previous attempt to develop a framework that would provide for integration of relevant information from different sources to reach informed decisions about skin sensitization potential and potency. It is timely now, in the light of recent developments and initiatives, to revisit this paradigm with a view to developing recommendations for modification and refinement. In addition to this, the need for performance standards and an agreed \u2018gold standard\u2019 dataset against which to validate both alternatives and new prediction models is discussed. 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