Evidence map›Paper›PMID 24530487›Full record

ArticleContemporary clinical trials2014

Escalation with overdose control using all toxicities and time to event toxicity data in cancer Phase I clinical trials.

Zhengjia Chen, Ye Cui, Taofeek K Owonikoko, Zhibo Wang, Zheng Li, Ruiyan Luo, Michael Kutner, Fadlo R Khuri, Jeanne Kowalski

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Trial
  3. A Road Map for Designing Phase I Clinical Trials of Radiotherapy-Novel Agent Combinations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Review
  4. Article
  5. Article
  6. 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

9 authors.

Zhengjia ChenDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, United States; Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States. Electronic address: zchen38@emory.edu.
Ye CuiICF International, 3 Corporate Square, NE, Suite 370, Atlanta, GA 30329, United States.
Taofeek K OwonikokoDepartment of Hematology and Medical Oncology, Emory University, Atlanta, GA 30322, United States.
Zhibo WangBiostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States.
Zheng LiDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, United States.
Ruiyan LuoSchool of Public Health, Georgia State University, Atlanta, GA 30303, United States.
Michael KutnerDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, United States.
Fadlo R KhuriDepartment of Hematology and Medical Oncology, Emory University, Atlanta, GA 30322, United States.
Jeanne KowalskiDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, United States; Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States.

Funding

Winship Cancer Institute Cancer Center Support GrantP30CA138292 · NCI · EMORY UNIVERSITY · PI Suresh S Ramalingam · 2009 to 2026
$47.5M
TARGETING DEATH RECEPTOR-MEDIATED APOPTOSIS FOR HEAD AND NECK CANCERP50CA128613 · NCI · EMORY UNIVERSITY · PI SHIN, DONG M · 2007 to 2011
$12.0M
Targeting Microtubules and HDAC6 in NSCLCP01CA116676 · NCI · EMORY UNIVERSITY · PI KHURI, FADLO RAJA · 2006 to 2012
$8.0M
NCI NIH HHS 1 P01 CA116676NCI NIH HHS 5 P50 CA128613NCI NIH HHS P01 CA116676NCI NIH HHS P30 CA138292NCI NIH HHS P30CA138292.NCI NIH HHS P50 CA128613
6 · The paper itself

Abstract

The primary purposes of Phase I cancer clinical trials are to determine the maximum tolerated dose (MTD) and the treatment schedule of a new drug. Phase I trials usually involve a small number of patients so that fully utilizing all toxicity information including time to event toxicity data is key to improving the trial efficiency and the accuracy of MTD estimation. Chen et al. proposed a novel normalized equivalent toxicity score (NETS) system to fully utilize multiple toxicities per patient instead of a binary indicator of dose limiting toxicity (DLT). Cheung and Chappell developed the time to toxicity event (TITE) approach to incorporate time to toxicity event data. Escalation with overdose control (EWOC) is an adaptive Bayesian Phase I design which can allow rapid dose escalation while controlling the probability of overdosing patients. In this manuscript, we use EWOC as a framework and integrate it with the NETS system and the TITE approach to develop an advanced Phase I design entitled EWOC-NETS-TITE. We have conducted simulation studies to compare its operating characteristics using selected derived versions of EWOC because EWOC itself has already been extensively compared with common Phase I designs [3]. Simulation results demonstrate that EWOC-NETS-TITE can substantially improve the trial efficiency and accuracy of MTD determination as well as allow patients to be entered in a staggered fashion to significantly shorten trial duration. Moreover, user-friendly software for EWOC-NETS-TITE is under development.

Indexed as

Computer SimulationMaximum Tolerated DoseResearch DesignAntineoplastic AgentsBayes TheoremClinical Trials, Phase I as TopicDose-Response Relationship, DrugHumansModels, StatisticalNeoplasmsTime FactorsAntineoplastic AgentsEscalation with overdose controlMultiple toxicitiesNormalized equivalent toxicity scorePhase I clinical trialQuasi-continuousTime to toxicity event

Identifiers

PMID24530487
PMCPMC4046505

What OpenQuestion holds

Textmetadata
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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.