Evidence map›Paper›PMID 31504680›Full record

ReviewJournal of the National Cancer Institute2020

Master Protocol Trial Design for Efficient and Rational Evaluation of Novel Therapeutic Oncology Devices.

Danielle S Bitterman, Daniel N Cagney, Lisa L Singer, Paul L Nguyen, Paul J Catalano, Raymond H Mak

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of the National Cancer Institute, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Accelerating discovery: Transformative clinical trial models in neuro-oncology.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  4. Article
  5. Cell-based Therapies for Acute Respiratory Distress Syndrome: Where Are We Now?American journal of respiratory and critical care medicine · 2024
    Article
  6. Article
  7. Novel Clinical Trial Designs in Neuro-Oncology.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  8. Article
  9. Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL).Clinical and translational radiation oncology · 2021
    Article
  10. Artificial intelligence in radiation oncology.Nature reviews. Clinical oncology · 2020
    Review
  11. Article
  12. MRI in Radiation Oncology After the COVID-19 Pandemic.International journal of radiation oncology, biology, physics · 2020
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Danielle S BittermanHarvard Radiation Oncology Program, Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA.
Daniel N CagneyDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Lisa L SingerDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Paul L NguyenDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Paul J CatalanoDepartment of Biostatistics & Computational Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Raymond H MakDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, the gold standard for evaluation of cancer therapeutics, including medical devices, has been the randomized clinical trial. Although high-quality clinical data are essential for safe and judicious use of therapeutic oncology devices, class II devices require only preclinical data for US Food and Drug Administration approval and are often not rigorously evaluated prior to widespread uptake. Herein, we review master protocol design in medical oncology and its application to therapeutic oncology devices, using examples from radiation oncology. Unique challenges of clinical testing of radiation oncology devices (RODs) include patient and treatment heterogeneity, lack of funding for trials by industry and health-care payers, and operator dependence. To address these challenges, we propose the use of master protocols to optimize regulatory, financial, administrative, quality assurance, and statistical efficiency of trials evaluating RODs. These device-specific master protocols can be extrapolated to other devices and encompass multiple substudies with the same design, statistical considerations, logistics, and infrastructure. As a practical example, we outline our phase I and II master protocol trial of stereotactic magnetic resonance imaging-guided adaptive radiotherapy, which to the best of our knowledge is the first master protocol trial to test a ROD. Development of more efficient clinical trials is needed to promote thorough evaluation of therapeutic oncology devices, including RODs, in a resource-limited environment, allowing more practical and rapid identification of the most valuable advances in our field.

Indexed as

Clinical Trials as TopicEquipment and SuppliesHumansMagnetic Resonance ImagingNeoplasmsRadiation OncologyRadiotherapy, Image-GuidedRandomized Controlled Trials as TopicStereotaxic TechniquesUnited StatesUnited States Food and Drug Administration

Identifiers

PMID31504680
PMCPMC7073911

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.