Evidence map›Paper›PMID 27393122›Full record

ArticleContemporary clinical trials2016

Integrating the escalation and dose expansion studies into a unified Phase I clinical trial.

Alexia Iasonos, John O'Quigley

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2016. 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. Article
  2. Article
  3. Article
  4. Phase I clinical trials in adoptive T-cell therapies.Journal of the Royal Statistical Society. Series C, Applied statistics · 2021
    Article
  5. Article
  6. Review
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

2 authors.

Alexia IasonosDepartment of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA. Electronic address: iasonosa@mskcc.org.
John O'QuigleyUniversité Pierre et Marie Curie-Paris VI, Paris, France.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Designs for phase I trials of combinations of agentsR01CA142859 · NCI · UNIVERSITY OF VIRGINIA · PI CONAWAY, MARK R · 2010 to 2017
$2.1M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA142859
6 · The paper itself

Abstract

We focus on Phase I dose finding studies as they are currently undertaken. The design and analysis of these trials have changed over the last years and, in particular, it is now rare for a Phase I study to not include one or more dose-expansion cohorts (DEC). It is common to see DEC involving several hundred patients, building on an initial dose escalation study that may have no >20 to 30 patients. There has been recent focus by researchers on the design of DEC and the analysis of DEC data. It is reasonable to explicitly account for the uncertainty in the estimation of the MTD, the dose upon which the whole of the DEC is currently based. In this paper, we focus on the dose escalation phase prior to the DEC, with the purpose of adapting it to the needs of DEC. Specifically, before beginning the DEC phase, we need to identify those dose levels that will be taken into the DEC. We define a useful concept for this purpose, the co-MTD, and the results support that the estimated MTD and co-MTD contain the true MTD with high probability. We also provide stopping rules for when the data support that the dose escalation can end and the dose expansion can begin. Simulated trials support the use of the proposed approach and provide additional information on how this approach compares with current practice.

Indexed as

Research DesignClinical Trials, Phase I as TopicDose-Response Relationship, DrugHumansMaximum Tolerated DoseModels, StatisticalDose expansionDose findingPhase I trialsRecommended Phase II dose

Identifiers

PMID27393122
PMCPMC5266504

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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.