Literature DB >> 16353924

Evidence of effectiveness: how much can we extrapolate from existing studies?

Howard Lee1, Dong-Seok Yim, Honghui Zhou, Carl C Peck.   

Abstract

Drug development can be a science of extrapolation if the use of a drug exposure-response relationship is embraced and implemented through mechanistically oriented pharmacokinetic (PK)-pharmacodynamic (PD) modeling analysis and clinical trial simulation. The traditional requirement of at least 2 adequate and well-controlled phase III studies by the US Food and Drug Administration for drug approval can be waived in certain situations, substantially reducing the resources and time. In this article, the authors introduce a real drug development case where the chance for this exemption was maximized by actively using PK-PD modeling followed by clinical trial simulation, resulting in faster and more economical introduction of a new dosage regimen to patients.

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Year:  2005        PMID: 16353924      PMCID: PMC2750984          DOI: 10.1208/aapsj070247

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  12 in total

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Review 6.  Hypothesis: a single clinical trial plus causal evidence of effectiveness is sufficient for drug approval.

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7.  Population pharmacokinetic analysis and simulation of the time-concentration profile of etanercept in pediatric patients with juvenile rheumatoid arthritis.

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Review 4.  How to optimize the evaluation and use of antibiotics in neonates.

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  5 in total

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