Evidence map›Paper›PMID 31509209›Full record

SynthesisJAMA network open2019

US Food and Drug Administration Approvals of Drugs and Devices Based on Nonrandomized Clinical Trials: A Systematic Review and Meta-analysis.

Marianne Razavi, Paul Glasziou, Farina A Klocksieben, John P A Ioannidis, Iain Chalmers, Benjamin Djulbegovic

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evidence, values, and masks for control of COVID-19.Journal of clinical epidemiology · 2021
    Article
  8. Article
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

6 authors.

Marianne RazaviDepartment of Supportive Care Medicine, City of Hope, Duarte, California.
Paul GlasziouBond University, Gold Coast, Queensland, Australia.
Farina A KlocksiebenProgram for Comparative Effectiveness Research, University of South Florida, Tampa.
John P A IoannidisStanford Prevention Research Center, Departments of Medicine, Health Research and Policy, and Biomedical Data Science, Stanford University School of Medicine, Stanford, California.
Iain ChalmersJames Lind Library, Oxford, United Kingdom.
Benjamin DjulbegovicDepartment of Supportive Care Medicine, City of Hope, Duarte, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The size of estimated treatment effects on the basis of which the US Food and Drug Administration (FDA) has approved drugs and devices with data from nonrandomized clinical trials (non-RCTs) remains unknown. Objectives: To determine how often the FDA has authorized novel interventions based on non-RCTs and to assess whether there is an association of the magnitude of treatment effects with FDA requirements for additional testing in randomized clinical trials (RCTs). Data Sources: Overall, 606 drug applications for the Breakthrough Therapy designation from its inception in January 2012 were downloaded from the FDA website in January 2017 and August 2018, and 71 medical device applications for the Humanitarian Device Exemption from its inception in June 1996 were downloaded in August 2017. Study Selection: Approved applications based on non-RCTs were included; RCTs, studies with insufficient information, duplicates, and safety data were excluded. Data Extraction and Synthesis: Data were extracted by 2 independent investigators. A statistical association of the magnitude of estimated effect (expressed as an odds ratio) with FDA requests for RCTs was assessed. The data were also meta-analyzed to evaluate the differences in odds ratios between applications that required further testing and those that did not. The results are reported according to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Main Outcomes and Measures: Disease, laboratory, and patient-related outcomes, including disease response or patient survival, were considered. Results: Among 677 drug and medical device applications, 68 (10.0%) were approved by the FDA based on non-RCTs. Estimates of effects were larger when no further RCTs were required (mean natural logarithm of the odds ratios, 2.18 vs 1.12; odds ratios, 8.85 vs 3.06; P = .03). The meta-analysis results confirmed these findings: estimated effects were approximately 2.5-fold higher for treatments or devices that were approved based on non-RCTs than for treatments or devices for which further testing in RCTs was required (6.30 [95% CI, 4.38-9.06] vs 2.46 [95% CI, 1.70-3.56]; P < .001). Overall, 9 of 677 total applications (1.3%) that were approved on the basis of non-RCTs had relative risks of 10 or greater and 12 (1.7%) had relative risks of 5 or greater. No clear threshold above which the FDA approved interventions based on the magnitude of estimated effect alone was detected. Conclusions and Relevance: In this study, estimated magnitudes of effect were larger among studies for which the FDA did not require RCTs compared with studies for which it did. There was no clear threshold of treatment effect above which no RCTs were requested.

Indexed as

Device ApprovalDrug ApprovalNon-Randomized Controlled Trials as TopicUnited States Food and Drug AdministrationHumansUnited States

Identifiers

PMID31509209
PMCPMC6739727

What OpenQuestion holds

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Registered trials

None linked

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.