Evidence map›Paper›PMID 41641793›Full record

ArticleClinical trials (London, England)2026

Premarket and postmarket real-world evidence studies supporting U.S. Food and Drug Administration regulatory decision-making, 2016-2024.

Louis Y Li, Reshma Ramachandran, Joseph S Ross, Joshua D Wallach

Abstract read
In one paragraph

Article in Clinical trials (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Louis Y LiDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0009-0003-1398-9698
Reshma RamachandranSection of General Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Joseph S RossSection of General Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-9218-3320
Joshua D WallachDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0002-2816-6905

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Real-world utilization, effectiveness, and safety of GLP-1 receptor agonists for alcohol use disorderR01AA032254 · NIAAA · EMORY UNIVERSITY · PI Samuel T Savitz, Joshua David Wallach · 2025 to 2026
$1.5M
Identifying Patient Subgroups That Are Most Likely To Benefit From Medications Used To Treat Alcohol Use DisorderK01AA028258 · NIAAA · YALE UNIVERSITY · PI WALLACH, JOSHUA DAVID · 2021 to 2025
$892k
NCATS NIH HHS UL1 TR002378NIAAA NIH HHS K01 AA028258NIAAA NIH HHS R01 AA032254
6 · The paper itself

Abstract

BACKGROUND/

aimsThere is growing interest in leveraging real-world data, such as electronic health records, administrative claims data, and patient registries, to generate real-world evidence studies that support the U.S. Food and Drug Administration's premarket and postmarket regulatory determinations of effectiveness and/or safety for novel therapeutics. We examined the frequency and characteristics of real-world evidence studies used by the U.S. Food and Drug Administration to support premarket determinations of effectiveness and/or safety, as well as those required or requested by the U.S. Food and Drug Administration to be conducted postmarket after approval.

methodsWe identified all novel therapeutics approved by the U.S. Food and Drug Administration between 2016 and 2024, using action packages from the Drugs@FDA database. Product labels, approval letters, and review documents were used to identify real-world evidence studies supporting premarket determinations of effectiveness and/or safety, as well as all postmarketing requirements or commitments outlined at the time of approval. Outcomes included the number of novel therapeutics approved with premarket and/or postmarket real-world evidence studies and characteristics of these studies, including study design, data source, and primary objectives.

resultsFrom 2016 to 2024, the U.S. Food and Drug Administration approved 400 novel therapeutics for 543 indications, of which 43 (10.8%) had at least one real-world evidence study that supported premarket determinations of effectiveness and/or safety (64 unique studies), and 138 (34.5%) had at least one real-world evidence study required or requested by the U.S. Food and Drug Administration to be conducted postmarket after approval (208 unique studies). Among the 64 unique premarket real-world evidence studies, the most common study designs were non-interventional (observational) studies (35, 54.7%) and externally controlled trials (17, 26.6%); 38 (59.4%) studies utilized electronic health or medical records, and 47 (73.4%) provided evidence on effectiveness. Among the 208 unique postmarket real-world evidence studies, the most common study design was non-interventional (observational) studies (159, 76.4%); 61 (29.3%) studies identified registries as the proposed data source, and 197 (94.7%) were designed to provide evidence on safety alone. The proportion of therapeutics approved with at least one postmarket real-world evidence study increased over time from 2 of 20 (10.0%) in 2016 to 23 of 47 (48.9%) in 2024; however, only 7 (3.4%) of these studies were classified by the U.S. Food and Drug Administration as fulfilled or submitted as of May 2025.

conclusionsReal-world evidence studies are infrequently used to support the U.S. Food and Drug Administration's premarket determinations of effectiveness and/or safety but have been increasingly required or requested by the U.S. Food and Drug Administration to be conducted postmarket after approval; however delays in completing postmarket real-world evidence studies may limit their regulatory impact.

Indexed as

Decision MakingDrug ApprovalProduct Surveillance, PostmarketingUnited States Food and Drug AdministrationHumansUnited Statespharmaceutical regulationreal-world dataReal-world evidence

Identifiers

PMID41641793
PMCPMC12900038

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.