{"title":"注意:谨慎使用药效学间接反应模型的经验方程。","authors":"W Krzyzanski, W J Jusko","doi":"10.1023/a:1020707208521","DOIUrl":null,"url":null,"abstract":"<p><p>An empirical equation was recently proposed and used to characterize inhibitory drug effects on production of an endogenous substance. The limitations of this empirical equation are described utilizing mathematical equations and simulations based on the exact differential equation for Indirect Response Model I. The latter is preferable for fitting data using indirect response models.</p>","PeriodicalId":16765,"journal":{"name":"Journal of Pharmacokinetics and Biopharmaceutics","volume":"26 6","pages":"735-41"},"PeriodicalIF":0.0000,"publicationDate":"1998-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1023/a:1020707208521","citationCount":"2","resultStr":"{\"title\":\"Note: caution in use of empirical equations for pharmacodynamic indirect response models.\",\"authors\":\"W Krzyzanski, W J Jusko\",\"doi\":\"10.1023/a:1020707208521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>An empirical equation was recently proposed and used to characterize inhibitory drug effects on production of an endogenous substance. The limitations of this empirical equation are described utilizing mathematical equations and simulations based on the exact differential equation for Indirect Response Model I. The latter is preferable for fitting data using indirect response models.</p>\",\"PeriodicalId\":16765,\"journal\":{\"name\":\"Journal of Pharmacokinetics and Biopharmaceutics\",\"volume\":\"26 6\",\"pages\":\"735-41\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1023/a:1020707208521\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Pharmacokinetics and Biopharmaceutics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1023/a:1020707208521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pharmacokinetics and Biopharmaceutics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1023/a:1020707208521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Note: caution in use of empirical equations for pharmacodynamic indirect response models.
An empirical equation was recently proposed and used to characterize inhibitory drug effects on production of an endogenous substance. The limitations of this empirical equation are described utilizing mathematical equations and simulations based on the exact differential equation for Indirect Response Model I. The latter is preferable for fitting data using indirect response models.