Real-World Evidence: A Primer

被引:46
|
作者
Dang, Amit [1 ]
机构
[1] MarksMan Healthcare Commun, J1309, Amethyst Tower, Hyderabad 500091, Telangana, India
关键词
TRIALS;
D O I
10.1007/s40290-022-00456-6
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Real-world evidence (RWE) is clinical evidence on a medical product's safety and efficacy that is generated using real-world data (RWD) resulting from routine healthcare delivery. There are several sources of RWD, including electronic health records (EHRs), registries, claims/billing data, and patient-generated data, as well as those from mobile health applications and wearable devices. Real-world data from these sources can be collected and analysed through different study designs such as prospective and retrospective cohort studies, case-control studies, and pragmatic clinical trials. Real-world evidence in the form of post-marketing surveillance has been extensively used to generate pharmacovigilance data. Of late, it has been realised that, apart from safety, RWE has additional applications in different stages of the drug approval cycle, and can be used to optimize the design of randomised controlled trials (RCTs). There has been an increasing awareness and acceptance of RWE from different stakeholders, including physicians, pharmaceutical companies, payers, regulators, and patients. Several regulatory authorities have also created frameworks and guidelines for efficient harnessing of RWE while acknowledging several challenges in RWD collection and analysis. The purpose of this review is to offer an outline of the current information on RWE, its advantages and disadvantages, as well as the associated challenges and ways to overcome them, while also throwing some light on the future of RWE.
引用
收藏
页码:25 / 36
页数:12
相关论文
共 50 条
  • [1] Real-World Evidence: A Primer
    Zura, Robert
    Irwin, Debra E.
    Mack, Christina D.
    Aldridge, Molly L.
    Mackowiak, John, I
    JOURNAL OF ORTHOPAEDIC TRAUMA, 2021, 35 : S1 - S5
  • [2] Real-World Evidence: A Primer
    Amit Dang
    Pharmaceutical Medicine, 2023, 37 : 25 - 36
  • [3] Real-world study: from real-world data to real-world evidence
    Wen, Yi
    TRANSLATIONAL BREAST CANCER RESEARCH, 2020, 1
  • [4] Translating real-world evidence/real-world data
    Ravenstijn, Paulien
    CTS-CLINICAL AND TRANSLATIONAL SCIENCE, 2024, 17 (05):
  • [5] Is Real-world Evidence Really Real?
    Kristensen, Lars Erik
    Egeberg, Alexander
    JOURNAL OF RHEUMATOLOGY, 2022, 49 (02) : 126 - 127
  • [6] "Real-World Evidence?" Get Real!
    King, Spencer B., III
    JACC-CARDIOVASCULAR INTERVENTIONS, 2016, 9 (02) : 204 - 205
  • [7] Artificial intelligence to unlock real-world evidence in clinical oncology: A primer on recent advances
    Bryant, Alex K.
    Zamora-Resendiz, Rafael
    Dai, Xin
    Morrow, Destinee
    Lin, Yuewei
    Jungles, Kassidy M.
    Rae, James M.
    Tate, Akshay
    Pearson, Ashley N.
    Jiang, Ralph
    Fritsche, Lars
    Lawrence, Theodore S.
    Zou, Weiping
    Schipper, Matthew
    Ramnath, Nithya
    Yoo, Shinjae
    Crivelli, Silvia
    Green, Michael D.
    CANCER MEDICINE, 2024, 13 (12):
  • [8] Real-World Evidence in the Real World: Beyond the FDA
    Krause, Joan H.
    Saver, Richard S.
    AMERICAN JOURNAL OF LAW & MEDICINE, 2018, 44 (2-3) : 161 - 179
  • [9] Editorial: Real-world data and real-world evidence in lung cancer
    Gristina, Valerio
    Eze, Chukwuka
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [10] When can real-world data generate real-world evidence?
    Rahman, Motiur
    Dal Pan, Gerald
    Stein, Peter
    Levenson, Mark
    Kraus, Stefanie
    Chakravarty, Aloka
    Rivera, Donna R.
    Forshee, Richard
    Concato, John
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2024, 33 (01)