Evidence map›Paper›PMID 31237419›Full record

ArticlePharmaceutical statistics2019

Improvements to the Escalation with Overdose Control design and a comparison with the restricted Continual Reassessment Method.

Lingyun Ji, Juan Pablo Lewinger, Mark Krailo, Susan Groshen, David V Conti, Shahab Asgharzadeh, Richard Sposto

Abstract readComparative Study
In one paragraph

Article in Pharmaceutical statistics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Lingyun JiDepartment of Preventive Medicine, Keck School of Medicine, The University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-2500-1993
Juan Pablo LewingerDepartment of Preventive Medicine, Keck School of Medicine, The University of Southern California, Los Angeles, CA, USA.
Mark KrailoDepartment of Preventive Medicine, Keck School of Medicine, The University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-7608-0698
Susan GroshenDepartment of Preventive Medicine, Keck School of Medicine, The University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-9705-1012
David V ContiDepartment of Preventive Medicine, Keck School of Medicine, The University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-8930-2483
Shahab AsgharzadehDepartment of Pediatrics and Pathology, Keck School of Medicine, The University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-0510-3848
Richard SpostoDepartment of Preventive Medicine, Keck School of Medicine, The University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-2729-2360

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Saul Priceman · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

The Escalation with Overdose Control (EWOC) design for cancer dose finding clinical trials is a variation of the Continual Reassessment Method (CRM) that was proposed to overcome the limitation of the original CRM of exposing patients to high toxic doses. The properties of EWOC have been studied to some extent, but some aspects of the design are not well studied, and its performance is not fully understood. Comparisons of the EWOC design to the most commonly used modified CRM designs have not yet been performed, and the advantages of EWOC over the modified CRM designs are unclear. In this paper, we assess the properties of the EWOC design and of the restricted CRM and some variations of these designs. We show that EWOC has several weaknesses that CRM does not have that make it impractical to use in its original formulation. We propose modified EWOC designs that address some of the weaknesses and that have some desirable statistical properties compared with the original EWOC design, the restricted CRM design, and the 3 + 3 design. However, their statistical properties are sensitive to correct specification of the prior distribution of their parameters and hence nevertheless will need to be used with some caution. The restricted CRM design is shown to have more stable performance across a wider family of dose-toxicity curves than EWOC and therefore may be a preferable general choice in cancer clinical research.

Indexed as

Research DesignAntineoplastic AgentsClinical Trials, Phase I as TopicDose-Response Relationship, DrugHumansModels, StatisticalNeoplasmsAntineoplastic AgentsBayesianCRMdose findingEWOCPhase I

Identifiers

PMID31237419
PMCPMC8932137

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Registered trials

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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.