Evidence map›Paper›PMID 35100726›Full record

ReviewJCO precision oncology2019

Basket Designs: Statistical Considerations for Oncology Trials.

Alexander M Kaizer, Joseph S Koopmeiners, Michael J Kane, Satrajit Roychoudhury, David S Hong, Brian P Hobbs

Open access · greenAbstract readReview
In one paragraph

Review in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Biomarker-Driven Treatments for Ovarian Cancer: Moving Beyond HRD?International journal of women's health · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Basket Trials: Past, Present, and Future.Annual review of cancer biology · 2024
    Article
  14. Review
  15. Review
  16. Bayesian modelling strategies for borrowing of information in randomised basket trials.Journal of the Royal Statistical Society. Series C, Applied statistics · 2022
    Article
  17. Basket Trials: Review of Current Practice and Innovations for Future Trials.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Review
  18. Review
  19. Article
  20. 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.

Alexander M KaizerUniversity of Colorado Anschutz Medical Campus, Aurora, CO.
Joseph S KoopmeinersUniversity of Minnesota, Minneapolis, MN.
Michael J KaneYale University, New Haven, CT.
Satrajit RoychoudhuryPfizer, New York, NY.
David S HongThe University of Texas MD Anderson Cancer Center, Houston, TX.
Brian P HobbsCleveland Clinic, Cleveland, OH.
Cleveland Clinic · USPfizer (United States) · USThe University of Texas MD Anderson Cancer Center · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Minnesota · USYale University · US

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARK R CHANCE · 1987 to 2026
$142.3M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI DAVID L RIMM · 1985 to 2026
$85.0M
Innovative Statistical Methods for Evaluating the Impact of Tobacco Product StandardsR01DA046320 · NIDA · UNIVERSITY OF MINNESOTA · PI Joseph S. Koopmeiners, David M. Vock · 2018 to 2026
$2.4M
NCI NIH HHS P30 CA016359NCI NIH HHS P30 CA043703NIDA NIH HHS R01 DA046320
6 · The paper itself

Abstract

Progress in the areas of genomics, disease pathways, and drug discovery has advanced into clinical and translational cancer research. The latest innovations in clinical trials have followed with master protocols, which are defined by inclusive eligibility criteria and devised to interrogate multiple therapies for a given tumor histology and/or multiple histologies for a given therapy under one protocol. The use of master protocols for oncology has become more common with the desire to improve the efficiency of clinical research and accelerate overall drug development. Basket trials have been devised to ascertain the extent to which a treatment strategy offers benefit to various patient subpopulations defined by a common molecular target. Conventionally conducted within the phase II setting, basket designs have become popular as drug developers seek to effectively evaluate and identify preliminary efficacy signals among clinical indications identified as promising in preclinical study. This article reviews basket trial designs in oncology settings and discusses several issues that arise with their design and analysis.

Identifiers

PMID35100726
PMCPMC11637469
OpenAlexW2981783924

What OpenQuestion holds

Textmetadata
LicenceTDM
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.