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suck abstract from ncbi


10.1002/sim.8771

http://scihub22266oqcxt.onion/10.1002/sim.8771
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33053601!?!33053601

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suck abstract from ncbi

pmid33053601      Stat+Med 2021 ; 40 (2): 240-253
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  • Early phase dose-finding trials in virology #MMPMID33053601
  • Dehbi HM; Lowe DM; O'Quigley J
  • Stat Med 2021[Jan]; 40 (2): 240-253 PMID33053601show ga
  • Little has been published in terms of dose-finding methodology in virology. Aside from a few papers focusing on HIV, the considerable progress in dose-finding methodology of the last 25 years has focused almost entirely on oncology. While adverse reactions to cytotoxic drugs may be life threatening, for anti-viral agents we anticipate something different: side effects that provoke the cessation of treatment. This would correspond to treatment failure. On the other hand, success would not be yes/no but would correspond to a range of responses, from small, no more than say 20% reduction in viral load to the complete elimination of the virus. Less than total success matters since this may allow the patient to achieve immune-mediated clearance. The motivation for this article is an upcoming dose-finding trial in chronic norovirus infection. We propose a novel methodology whose goal is twofold: first, to identify the dose that provides the most favorable distribution of treatment outcomes, and, second, to do this in a way that maximizes the treatment benefit for the patients included in the study.
  • |Antiviral Agents/*administration & dosage[MESH]
  • |Clinical Trials as Topic/*statistics & numerical data[MESH]
  • |Dose-Response Relationship, Drug[MESH]
  • |Drug-Related Side Effects and Adverse Reactions[MESH]
  • |Humans[MESH]
  • |Maximum Tolerated Dose[MESH]
  • |Research Design[MESH]


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