Evidence map›Paper›PMID 37615880›Full record

ArticleTherapeutic innovation & regulatory science2023

Aiding the Adoption of Master Protocols by Optimizing Patient Engagement.

Raymond A Huml, Deborah Collyar, Zoran Antonijevic, Robert A Beckman, Ruben G W Quek, Jingjing Ye

Abstract read
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In one paragraph

Article in Therapeutic innovation & regulatory science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 12% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 6 institutions in 1 country.

Raymond A HumlSyneos Health Clinical Solutions, Morrisville, NC, USA. raymond.huml@syneoshealth.com.ORCID http://orcid.org/0000-0003-3899-0217
Deborah CollyarPatient Advocates in Research, Danville, CA, USA.
Zoran AntonijevicStatistical Consulting, Abond CRO Inc., Allendale, MI, USA.
Robert A BeckmanDepartments of Oncology and of Biostatistics, Bioinformatics, & Biomathematics, Lombardi Comprehensive Cancer Center and Innovation Center for Biomedical Informatics, Georgetown University Medical Center, District of Columbia (DC), Washington, USA.
Ruben G W QuekHealth Economics & Outcomes Research, Regeneron Pharmaceuticals, Tarrytown, NY, USA.
Jingjing YeData Science and Operational Excellent, Global Statistics and Data Sciences, BeiGene, Ltd., Washington, DC, USA.
Data Sciences International (United States) · USGeorgetown University · USOrthopaedic Research of Virginia · USRegeneron (United States) · USStatistical Research (United States) · USSyneos Health (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Master protocols (MPs) are an important addition to the clinical trial repertoire. As defined by the U.S. Food and Drug Administration (FDA), this term means "a protocol designed with multiple sub-studies, which may have different objectives (goals) and involve coordinated efforts to evaluate one or more investigational drugs in one or more disease subtypes within the overall trial structure." This means we now have a unique, scientifically based MP that describes how a clinical trial will be conducted using one or more potential candidate therapies to treat patients in one or more diseases. Patient engagement (PE) is also a critical factor that has been recognized by FDA through its Patient-Focused Drug Development (PFDD) initiative, and by the European Medicines Agency (EMA), which states on its website that it has been actively interacting with patients since the creation of the Agency in 1995. We propose that utilizing these PE principles in MPs can make them more successful for sponsors, providers, and patients. Potential benefits of MPs for patients awaiting treatment can include treatments that better fit a patient's needs; availability of more treatments; and faster access to treatments. These make it possible to develop innovative therapies (especially for rare diseases and/or unique subpopulations, e.g., pediatrics), to minimize untoward side effects through careful dose escalation practices and, by sharing a control arm, to lower the probability of being assigned to a placebo arm for clinical trial participants. This paper is authored by select members of the American Statistical Association (ASA)/DahShu Master Protocol Working Group (MPWG) People and Patient Engagement (PE) Subteam. DahShu is a 501(c)(3) non-profit organization, founded to promote research and education in data science. This manuscript does not include direct feedback from US or non-US regulators, though multiple regulatory-related references are cited to confirm our observation that improving patient engagement is supported by regulators. This manuscript represents the authors' independent perspective on the Master Protocol; it does not represent the official policy or viewpoint of FDA or any other regulatory organization or the views of the authors' employers. The objective of this manuscript is to provide drug developers, contract research organizations (CROs), third party capital investors, patient advocacy groups (PAGs), and biopharmaceutical executives with a better understanding of how including the patient voice throughout MP development and conduct creates more efficient clinical trials. The PE Subteam also plans to publish a Plain Language Summary (PLS) of this publication for clinical trial participants, patients, caregivers, and the public as they seek to understand the risks and benefits of MP clinical trial participation.

Indexed as

Clinical ProtocolsClinical Trials as TopicDrug DevelopmentPatient ParticipationResearch DesignHumansUnited StatesUnited States Food and Drug AdministrationBasket trialsClinical trialsMaster protocolPatientPatient engagementPatient-reported outcomesPlain language summaryPlatform trialsUmbrella trials

Identifiers

PMID37615880
OpenAlexW4386117399

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.