Evidence map›Paper›PMID 26928191›Full record

ReviewStatistics in medicine2017

Implementation of adaptive methods in early-phase clinical trials.

Gina R Petroni, Nolan A Wages, Gautier Paux, Frédéric Dubois

Abstract readReview
In one paragraph

Review in Statistics in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Statistical controversies in clinical research: early-phase adaptive design for combination immunotherapies.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
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  8. Concurrent dose-finding of a novel cancer drug with and without a second agent.Journal of clinical and translational science · 2023
    Article
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  15. The Impact of Early-Phase Trial Design in the Drug Development Process.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
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  20. Implementation of a Model-Based Design in a Phase Ib Study of Combined Targeted Agents.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    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

4 authors.

Gina R PetroniDivision of Translational Research and Applied Statistics, Department of Public Health Sciences, The University of Virginia, Charlottesville, VA, 22908, U.S.A.
Nolan A WagesDivision of Translational Research and Applied Statistics, Department of Public Health Sciences, The University of Virginia, Charlottesville, VA, 22908, U.S.A.ORCID 0000-0002-2190-4864
Gautier PauxOncology Clinical Biostatistics, Institut de Recherches Internationales Servier (IRIS), Suresnes Cedex, 92284, France.
Frédéric DuboisOncology Clinical Biostatistics, Institut de Recherches Internationales Servier (IRIS), Suresnes Cedex, 92284, France.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Thomas P. Loughran · 1987 to 2026
$72.1M
Designs for phase I trials of combinations of agentsR01CA142859 · NCI · UNIVERSITY OF VIRGINIA · PI CONAWAY, MARK R · 2010 to 2017
$2.1M
Phase I Designs for Combined Immunotherapies in CancerK25CA181638 · NCI · UNIVERSITY OF VIRGINIA · PI WAGES, NOLAN · 2014 to 2018
$780k
NCI NIH HHS K25 CA181638NCI NIH HHS P30 CA044579NCI NIH HHS R01 CA142859
6 · The paper itself

Abstract

There has been constant development of novel statistical methods in the design of early-phase clinical trials since the introduction of model-based designs, yet the traditional or modified 3+3 algorithmic design remains the most widely used approach in dose-finding studies. Research has shown the limitations of this traditional design compared with more innovative approaches yet the use of these model-based designs remains infrequent. This can be attributed to several causes including a poor understanding from clinicians and reviewers into how the designs work, and how best to evaluate the appropriateness of a proposed design. These barriers are likely to be enhanced in the coming years as the recent paradigm of drug development involves a shift to more complex dose-finding problems. This article reviews relevant information that should be included in clinical trial protocols to aid in the acceptance and approval of novel methods. We provide practical guidance for implementing these efficient designs with the aim of augmenting a broader transition from algorithmic to adaptive model-guided designs. In addition we highlight issues to consider in the actual implementation of a trial once approval is obtained. Copyright © 2016 John Wiley & Sons, Ltd.

Indexed as

AlgorithmsBiostatisticsClinical ProtocolsClinical Trials as TopicCohort StudiesComputer SimulationDecision Support TechniquesDose-Response Relationship, DrugDrug-Related Side Effects and Adverse ReactionsHumansMaximum Tolerated DoseModels, StatisticalSafetySample SizeSoftwareadaptive methodsdose-findingprotocol development

Identifiers

PMID26928191
PMCPMC5003756

What OpenQuestion holds

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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.