A Road Map for Peer Review of Real-World Evidence Studies on Safety and Effectiveness of Treatments

Author:

Winterstein Almut G.123ORCID,Ehrenstein Vera234ORCID,Brown Jeffrey S.2356ORCID,Stürmer Til237ORCID,Smith Meredith Y.2389ORCID

Affiliation:

1. 1Department of Pharmaceutical Outcomes and Policy, Department of Epidemiology, and Center for Drug Evaluation and Safety, University of Florida, Gainesville, FL

2. 2International Network for Epidemiology in Policy, American College of Epidemiology, Washington Avenue Extension, Albany, NY

3. 3International Society for Pharmacoepidemiology, Bethesda, MD

4. 4Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark

5. 5Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Cambridge, MA

6. 6TriNetX, LLC, Cambridge, MA

7. 7Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC

8. 8Evidera, Inc., PPD, Boston, MA

9. 9School of Pharmacy, University of Southern California, Los Angeles, CA

Abstract

The growing acceptance of real-world evidence (RWE) in clinical and regulatory decision-making, coupled with increasing availability of health care data and advances in automated analytic approaches, has contributed to a marked expansion of RWE studies of diabetes and other diseases. However, a recent spate of high-profile retractions highlights the need for improvements in the conduct of RWE research as well as in the associated peer review and editorial processes. We review best pharmacoepidemiologic practices and common pitfalls regarding design, measurement, analysis, data validity, appropriateness, and generalizability of RWE studies. To enhance RWE study assessments, we propose that journal editors require 1) study authors to complete RECORD-PE, a reporting guideline for pharmacoepidemiological studies on routinely collected data, 2) availability of predetermined study protocols and analysis plans, 3) inclusion of pharmacoepidemiologists on the peer review team, and 4) provision of detail on data provenance, characterization, and custodianship to facilitate assessment of the data source. We recognize that none of these steps guarantees a high-quality research study. Collectively, however, they permit an informed assessment of whether the study was adequately designed and conducted and whether the data source used was fit for purpose.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference55 articles.

1. Rethinking retractions;Brainard;Science,2018

2. Retracted: Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis;Mehra;Lancet,2020

3. Retraction: Cardiovascular disease, drug therapy, and mortality in Covid-19;Mehra;N Engl J Med,2020

4. Hopkins J , GoldR. The big-data mystery behind retracted Covid-19 studies of hydroxychloroquine, other drugs. Published 11 June 2020. Accessed 20 May 2021. Available from https://www.wsj.com/articles/the-big-data-mystery-behind-retracted-covid-19-studies-of-hydroxychloroquine-other-drugs-11591867981

5. Biases in evaluating the safety and effectiveness of drugs for Covid-19: designing real-world evidence studies;Renoux;Am J Epidemiol,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3