The dose-response relationship in Phase I clinical trials and beyond: use, meaning, and assessment

被引:18
|
作者
Emilien, G
van Meurs, W
Maloteaux, JM
机构
[1] Univ Catholique Louvain, Clin Univ St Luc, Pharmacol Lab, B-1200 Brussels, Belgium
[2] Univ Porto, Dept Appl Math, P-4050 Porto, Portugal
[3] Univ Porto, Inst Biomed Engn, P-4050 Porto, Portugal
[4] Univ Florida, Dept Anesthesiol, Gainesville, FL USA
[5] Univ Catholique Louvain, Clin Univ St Luc, Dept Neurol, B-1200 Brussels, Belgium
关键词
dose response; quantitative; quantal; clinical trial; pharmacodynamic; pharmacokinetic; phase I;
D O I
10.1016/S0163-7258(00)00077-2
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Knowledge of the relationships among dose, drug concentration in blood, and clinical response is important for the safe and effective use of drugs in individual patients. Recently, pharmacokinetic-pharmacodynamic modeling has been taking an increasingly important place in clinical pharmacology because of its role in the determination of the optimal dosage of a new drug. Its primary objective is also to identify the characterization and prediction of the time course of drug effects under physiological and pathological conditions. Dose-response studies are useful in Phase I for assessing drug tolerance and safety, and invaluable in Phase II for characterizing drug efficacy. Apart from the confirmation of efficacy, the acquired information may help to investigate the shape and location of the dose-response curve, the choice of an appropriate therapeutic starting dose, the identification of optimal strategies for individual dose adjustments, and the determination of a maximal dose beyond which additional benefit is unlikely to be obtained. Recent development of pharmacodynamic models such as the mechanism-based indirect effect model may permit the identification of the physiological component of drug action that is affected by disease, other medications, gender, and other variables. Assessment of dose response should be an integral component of drug development, with studies designed to assess dose response an inherent part of establishing the safety and efficacy of the drug. Drug development can be enhanced with a good understanding of dose-response characteristics and ultimately the benefit/risk ratio of a drug. (C) 2000 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:33 / 58
页数:26
相关论文
共 50 条
  • [31] Dose-response relationship of duloxetine in placebo-controlled clinical trials in patients with major depressive disorder
    Bech, Per
    Kajdasz, Daniel K.
    Porsdal, Vibeke
    PSYCHOPHARMACOLOGY, 2006, 188 (03) : 273 - 280
  • [32] THE DOSE-RESPONSE RELATIONSHIP IN ANESTHESIOLOGY
    NIMMO, WS
    DOSE-RESPONSE RELATIONSHIPS IN CLINICAL PHARMACOLOGY, 1989, 808 : 257 - 271
  • [33] Dose-response relationship with venlafaxine
    Kelsey, JE
    JOURNAL OF CLINICAL PSYCHOPHARMACOLOGY, 1996, 16 (03) : S21 - S26
  • [34] DOSE-RESPONSE RELATIONSHIP OF PHOTOTHERAPY
    BALLOWITZ, L
    GEUTLER, G
    KROCHMANN, J
    JOURNAL OF PEDIATRICS, 1978, 92 (04): : 683 - 683
  • [35] The clinical dose-response relationship of fluticasone propionate in adults with asthma
    Masoli, M
    Weatherall, M
    Holt, S
    Beasley, R
    THORAX, 2003, 58 : 44 - 44
  • [36] Clinical dose-response relationship of fluticasone propionate in adults with asthma
    Masoli, M
    Weatherall, M
    Holt, S
    Beasley, R
    THORAX, 2004, 59 (01) : 16 - 20
  • [37] Adaptive dose-response studies to establish proof-of-concept in learning-phase clinical trials
    Ma, Shiyang
    McDermott, Michael P.
    BIOMETRICAL JOURNAL, 2022, 64 (01) : 146 - 164
  • [38] Gatekeeping procedures in dose-response clinical trials based on the Dunnett test
    Dmitrienko, Alex
    Offen, Walt
    Wang, Ouhong
    Xia, Dan
    PHARMACEUTICAL STATISTICS, 2006, 5 (01) : 19 - 28
  • [39] Dose-effect and dose-response relationship
    Bard, Denis
    Cerf, Olivier
    ENVIRONNEMENT RISQUES & SANTE, 2007, 6 (05): : 382 - 382
  • [40] Adaptive dose modification for phase I clinical trials
    Chu, Yiyi
    Pan, Haitao
    Yuan, Ying
    STATISTICS IN MEDICINE, 2016, 35 (20) : 3497 - 3508