Benefit-Risk Evaluation and Decision Making: Some Practical Insights

被引:7
|
作者
Colopy, Michael W. [1 ]
Damaraju, C. V. [2 ]
He, Weili [3 ]
Jiang, Qi [4 ]
Levitan, Bennett S. [5 ]
Ruan, Shiling [6 ]
Yuan, Zhong [5 ]
机构
[1] UCB BioSci Inc, Global Stat Sci, Res Triangle Pk, NC USA
[2] Janssen Res Dev LLC, Med Affairs Cardiovasc Metab Biostat, Raritan, NJ USA
[3] Merck & Co Inc, Clin Biostat, Rahway, NJ 07065 USA
[4] Amgen Inc, Global Biostat Sci, Thousand Oaks, CA USA
[5] Janssen Res Dev LLC, Dept Epidemiol, Titusville, NJ USA
[6] Allergan Pharmaceut Inc, Dept Bioinformat Operat & Syst, Bridgewater, NJ USA
关键词
benefit-risk; weighting; utilities; metrics; trade-offs;
D O I
10.1177/2168479014565469
中图分类号
R-058 [];
学科分类号
摘要
Pharmaceutical drugs and devices are increasingly evaluated by quantitative tools that combine benefit and risk. These tools vary by their limitations and desirable properties, which may confuse the decision-making process. Experts from the Food and Drug Administration (FDA) and industry shared their perspectives at the 2012 American Statistical Association (ASA) Biopharmaceutical Section FDA-Industry Statistics Workshop, and these insights are presented here. First, benefit-risk terminology is given to better understand subtle distinctions. Next, pragmatic considerations in endpoint selection are given that distinguish between benefit-risk assessment and analysis of clinical trials. Then the strengths of weighting methods, including ranking, utilities, and risk tolerance for assessing the trade-off between benefits and risks, are compared. The last topic presented is summarizing information to ease the interpretation, transparency, and ability to support decisions. Benefit-risk methods are moving towards a unified paradigm to make selection of endpoints, weights, and metrics easier and more structured. This will lead to better decision-making based on a transparent assessment and clear interpretability.
引用
下载
收藏
页码:425 / 433
页数:9
相关论文
共 50 条
  • [21] A stochastic multicriteria model for evidence-based decision making in drug benefit-risk analysis
    Tervonen, Tommi
    van Valkenhoef, Gert
    Buskens, Erik
    Hillege, Hans L.
    Postmus, Douwe
    STATISTICS IN MEDICINE, 2011, 30 (12) : 1419 - 1428
  • [22] Using a Benefit-Risk Analysis Approach to Capture Regulatory Decision Making: Renal Cell Carcinoma
    Raju, G. K.
    Gurumurthi, Karthik
    Domike, Reuben
    Singh, Harpreet
    Weinstock, Chana
    Kluetz, Paul
    Pazdur, Richard
    Woodcock, Janet
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2020, 107 (03) : 495 - 506
  • [23] Benefit-risk evaluation: the past, present and future
    Juhaeri, Juhaeri
    THERAPEUTIC ADVANCES IN DRUG SAFETY, 2019, 10
  • [24] A practical approach to communicating benefit-risk decisions of medicines to stakeholders
    Leong, James
    Walker, Stuart
    Salek, Sam
    FRONTIERS IN PHARMACOLOGY, 2015, 6
  • [25] Evaluating quantitative benefit-risk analysis for drug-approval decision making in Europe and the United States
    Harmon, Bruno
    Arrighi, Michael
    Johnson, Reed
    Perez, Susana
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2008, 17 : S26 - S26
  • [26] Benefit-Risk Assessment of Statins: A Multiple Criteria Decision Analysis
    Hsieh, Hsing-Chun
    Hsu, Jason C.
    Yang, Yea-Huei Kao
    Lu, Christine Y.
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2015, 24 : 463 - 463
  • [27] BENEFIT-RISK RATIO
    TICE, LF
    AMERICAN JOURNAL OF PHARMACY, 1977, 149 (02): : 35 - 36
  • [28] BENEFIT-RISK EQUATION
    SCHMIDT, AM
    FDA CONSUMER, 1974, 8 (04) : 27 - 31
  • [29] BENEFIT-RISK OF POLLUTION
    HEDMAN, FA
    CHEMICAL & ENGINEERING NEWS, 1970, 48 (29) : 7 - &
  • [30] Structured Benefit-Risk Assessment Across the Product Lifecycle: Practical Considerations
    Meredith Y. Smith
    Isma Benattia
    Carmit Strauss
    Laura Bloss
    Qi Jiang
    Therapeutic Innovation & Regulatory Science, 2017, 51 : 501 - 508