2017
DOI: 10.1038/nrd.2017.25
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Accelerating development of scientific evidence for medical products within the existing US regulatory framework

Abstract: Growing access to diverse 'real-world' data sources is enabling new approaches to close persistent evidence gaps about the optimal use of medical products in real-world practice. Here, we argue that contrary to widespread impressions, existing FDA regulations embody sufficient flexibility to accommodate the emerging tools and methods needed to achieve this goal.

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Cited by 53 publications
(47 citation statements)
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“…However, a recent review of pharmaceutical regulatory approvals found that, between 1999 and 2014, 76 drug approvals for indications were granted without evidence from RCTs [ 3 ]. The traditional RCT-based research evidence paradigm is being challenged by the establishment of accelerated regulatory pathways, a shift towards continuous development of clinical data with the integration of comprehensive information into ‘Big Data’, and the targeting of smaller patient populations through precision medicine, or development for orphan and ‘super-orphan’ indications [ 4 ]. The EMA’s guidance on adaptive pathways is taking this discussion to the next level.…”
Section: The Ebm Triad In Regulatory Decision Makingmentioning
confidence: 99%
“…However, a recent review of pharmaceutical regulatory approvals found that, between 1999 and 2014, 76 drug approvals for indications were granted without evidence from RCTs [ 3 ]. The traditional RCT-based research evidence paradigm is being challenged by the establishment of accelerated regulatory pathways, a shift towards continuous development of clinical data with the integration of comprehensive information into ‘Big Data’, and the targeting of smaller patient populations through precision medicine, or development for orphan and ‘super-orphan’ indications [ 4 ]. The EMA’s guidance on adaptive pathways is taking this discussion to the next level.…”
Section: The Ebm Triad In Regulatory Decision Makingmentioning
confidence: 99%
“…6,7 FDA encourages a flexible approach to trial design, prioritizing efficiency while also considering disease severity and rarity and degree of unmet need. 8 However, research in chronic diseases lags oncology and rare-disease specialties in applying novel methods.…”
Section: Cross-disciplinary Themesmentioning
confidence: 99%
“…[43] Although RWE has been instrumental as a primary evidence base for delayed cardiac effects of cancer therapy, its feasibility as an operational means to realize a more iterative and interconnected healthcare system at large is less clear. The means to integrate RWE as a complement to regulatory safety evaluation via randomized controlled trials (RCTs) and/or as a means of generating novel efficacy, safety, or use information for marketed drugs remains uncertain [40][41][42]. For example, Sherman et al (2017) cite the potential for RWE (e.g., postmarket surveillance or postmarket trials) to help refine dose-setting, subpopulation identification, and long-term safety considerations for novel cancer therapeutics that receive expedited initial approval.…”
Section: Data Sources and Driversmentioning
confidence: 99%
“…The cancer community at large is actively exploring opportunities to leverage this type of approach across broad cancer therapy classes and patient demographics. These efforts seek to use RWE in relation to a marketed drug or set of therapeutic approaches to promote a "learning healthcare system" (LHS) in the United States [40][41][42]. The LHS concept, initiated by the Institute of Medicine in the early 2000s, promotes the generation of "the best evidence and to apply that evidence to the healthcare choices that each patient and provider make in collaboration; to drive the process of discovery as a natural outgrowth of patient care; and to ensure innovation, quality, safety, and value in health care."…”
Section: Data Sources and Driversmentioning
confidence: 99%