Evidence map›Paper›PMID 20876664›Full record

ArticleBiostatistics (Oxford, England)2011

Continual reassessment method with multiple toxicity constraints.

Shing M Lee, Bin Cheng, Ying Kuen Cheung

Abstract read
In one paragraph

Article in Biostatistics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  18. Phase I Designs that Allow for Uncertainty in the Attribution of Adverse Events.Journal of the Royal Statistical Society. Series C, Applied statistics · 2017
    Article
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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

3 authors.

Shing M LeeDepartment of Biostatistics, Columbia University, New York, NY 10032, USA. sml2114@columbia.edu
Bin Cheng
Ying Kuen Cheung

Funding

Dose and Treatment Selection in Clinical TrialsR01NS055809 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHEUNG, KEN · 2006 to 2010
$1.2M
NINDS NIH HHS R01 NS055809
6 · The paper itself

Abstract

This paper addresses the dose-finding problem in cancer trials in which we are concerned with the gradation of severe toxicities that are considered dose limiting. In order to differentiate the tolerance for different toxicity types and grades, we propose a novel extension of the continual reassessment method that explicitly accounts for multiple toxicity constraints. We apply the proposed methods to redesign a bortezomib trial in lymphoma patients and compare their performance with that of the existing methods. Based on simulations, our proposed methods achieve comparable accuracy in identifying the maximum tolerated dose but have better control of the erroneous allocation and recommendation of an overdose.

Indexed as

Drug-Related Side Effects and Adverse ReactionsMaximum Tolerated DoseModels, StatisticalAlgorithmsAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBoronic AcidsBortezomibCalibrationClinical Trials, Phase I as TopicComputer SimulationCyclophosphamideDoxorubicinEpidemiologic Research DesignHumansLymphoma, Non-HodgkinAntineoplastic AgentsBoronic AcidsBortezomibCyclophosphamideDoxorubicinPrednisolonePyrazinesVincristine

Identifiers

PMID20876664
PMCPMC3062152

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.