Literature DB >> 30709609

The Case for Real-world Evidence in the Future of Clinical Research on Chronic Myeloid Leukemia.

Jonathan Webster1, B Douglas Smith2.   

Abstract

PURPOSE: In light of recently published guidelines from the US Food and Drug Administration (FDA) on the communication of real-world data (RWD) and real-world evidence (RWE) to support regulatory decision making, it is important to understand how such data are developed, the limitations of these data, and how to best use RWD to improve patient care. Historically, the use of RWE has been approached with skepticism because of its often-retrospective nature compared with data from conventional randomized controlled trials (RCTs). This review discusses the role and function of RWE and RWD in clinical research. We summarize the types of RWE used in clinical research, outline the challenges and limitations involved with these data, and suggest how these types of analyses can supplement results from clinical trials to foster a more complete understanding of a drug or disease area of interest. In particular, we focus on the role of RWE in investigating chronic myeloid leukemia (CML) and tyrosine kinase inhibitor therapy for CML.
METHODS: We reviewed FDA guidance on the use of RWE and conducted a PubMed literature search to evaluate published data from real-world studies in CML.
FINDINGS: RWE includes analysis of RWD gathered from nonconventional sources, including patient registries, observational studies, and social media, among others. Importantly, although real-world studies do not adhere to the same degree of controlled conditions and predefined patient-management strategies as do conventional clinical trials, analyses resulting from these studies can be held to a high degree of validation and standardization, making them as meaningful as those from RCTs. In CML, RWE has informed early treatment milestones and has provided a window into patient perspectives regarding treatment. These types of analyses have already informed and can continue to inform disease management. These improvements in disease management, in turn, will help clinicians to better forecast treatment challenges and allow for the optimization of future treatment paradigms. IMPLICATIONS: Real-world studies are different from conventional RCTs and therefore provide insight into distinct aspects of treatment and patient outcomes. Together with results from clinical trials, RWE can help to illustrate a more complete picture of the tolerability, effectiveness, and impact of a drug. The recently published guidelines indicate that the FDA expects a growing role for RWE.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  chronic myeloid leukemia; patient outcomes; real-world data; real-world evidence

Mesh:

Substances:

Year:  2019        PMID: 30709609     DOI: 10.1016/j.clinthera.2018.12.013

Source DB:  PubMed          Journal:  Clin Ther        ISSN: 0149-2918            Impact factor:   3.393


  4 in total

1.  From Research to Clinical Practice: Long-Term Impact of Randomized Clinical Trial Examining the Effect of Lumbar Drains on Cerebrospinal Fluid Leak Rates Following Endonasal Skull Base Surgery.

Authors:  Philippe Lavigne; Eric W Wang; Paul A Gardner; Carl H Snyderman
Journal:  J Neurol Surg B Skull Base       Date:  2021-12-14

2.  Doctor reported outcomes: Real-world data from a tertiary eye cancer center.

Authors:  Abhilasha Maheshwari; Paul T Finger; Abhishek Malpani; Puneet Jain; Ankit Singh Tomar; Gaurav Garg
Journal:  Indian J Ophthalmol       Date:  2021-01       Impact factor: 1.848

3.  Current challenges for assessing the long-term clinical benefit of cancer immunotherapy: a multi-stakeholder perspective.

Authors:  Casey Quinn; Louis P Garrison; Anja K Pownell; Michael B Atkins; Gérard de Pouvourville; Kevin Harrington; Paolo Antonio Ascierto; Phil McEwan; Samuel Wagner; John Borrill; Elise Wu
Journal:  J Immunother Cancer       Date:  2020-07       Impact factor: 13.751

4.  Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity.

Authors:  Nathan D Seligson; Jeremy L Warner; William S Dalton; David Martin; Robert S Miller; Debra Patt; Kenneth L Kehl; Matvey B Palchuk; Gil Alterovitz; Laura K Wiley; Ming Huang; Feichen Shen; Yanshan Wang; Khoa A Nguyen; Anthony F Wong; Funda Meric-Bernstam; Elmer V Bernstam; James L Chen
Journal:  J Am Med Inform Assoc       Date:  2020-11-01       Impact factor: 4.497

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.