Evidence map›Paper›PMID 39285061›Full record

ReviewTherapeutic innovation & regulatory science2024

A Framework for the Use and Likelihood of Regulatory Acceptance of Single-Arm Trials.

Disha Subramaniam, Colin Anderson-Smits, Rebecca Rubinstein, Sydney T Thai, Rose Purcell, Cynthia Girman

Abstract readReview
In one paragraph

Review in Therapeutic innovation & regulatory science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Disha SubramaniamReal World Evidence and Patient Outcomes, CERobs Consulting, Wrightsville Beach, NC, USA. dsubramaniam@unc.edu.
Colin Anderson-SmitsTakeda Pharmaceuticals, Cambridge, MA, USA.
Rebecca RubinsteinReal World Evidence and Patient Outcomes, CERobs Consulting, Wrightsville Beach, NC, USA.
Sydney T ThaiReal World Evidence and Patient Outcomes, CERobs Consulting, Wrightsville Beach, NC, USA.
Rose PurcellTakeda Pharmaceuticals, Cambridge, MA, USA.
Cynthia GirmanReal World Evidence and Patient Outcomes, CERobs Consulting, Wrightsville Beach, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle-arm clinical trials (SAT) are common in drug and biologic submissions for rare or life-threatening conditions, especially when no therapeutic options exist. External control arms (ECAs) improve interpretation of SATs but pose methodological and regulatory challenges.

objectiveThrough narrative reviews and expert input, we developed a framework for considerations that might influence regulatory use and likelihood of regulatory acceptance of an SAT, identifying non-oncology first indication approvals as an area of interest. We systematically analyzed FDA and EMA approvals using SATs as pivotal evidence. The framework guided outcome abstraction on regulatory responses.

methodsWe examined all non-oncology FDA and EMA drug and biologic approvals for first indications from 2019 to 2022 to identify those with SAT as pivotal safety or efficacy evidence. We abstracted outcomes, key study design features, regulator responses to SAT and (where applicable) ECA design, and product label content.

resultsAmong 20 SAT-based FDA approvals and 17 SAT-based EMA approvals, most common indications were progressive rare diseases with high unmet need/limited therapeutic options and a natural history without spontaneous improvement. Of the types of comparators, most were natural history cohorts (45% FDA; 47% EMA) and baseline controls (40% FDA; 47% EMA). Common critiques were of non-contemporaneous ECAs, subjective endpoints, and baseline covariate imbalance between arms.

conclusionBased on recent FDA and EMA approvals, the likelihood of regulatory success for SATs with ECAs depends on many design, analytic, and data quality considerations. Our framework is useful in early drug development when considering SAT strategies for evidence generation.

Indexed as

Clinical Trials as TopicDrug ApprovalUnited States Food and Drug AdministrationHumansResearch DesignUnited StatesExternal-control-armOpen-label-studiesSingle-arm-trialsUncontrolled-trials

Identifiers

PMID39285061
PMCPMC11530569

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.