Evidence map›Paper›PMID 24904956›Full record

ArticleJournal of biopharmaceutical statistics2015

Seamless Phase I/II Adaptive Design for Oncology Trials of Molecularly Targeted Agents.

Nolan A Wages, Christopher Tait

Abstract read
In one paragraph

Article in Journal of biopharmaceutical statistics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Trial
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  13. Adaptive Phase 1 Design in Radiation Therapy Trials.International journal of radiation oncology, biology, physics · 2022
    Article
  14. CFO: Calibration-free odds design for phase I/II clinical trials.Statistical methods in medical research · 2022
    Article
  15. Article
  16. Article
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  19. Review
  20. 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

2 authors.

Nolan A Wagesa Division of Translational Research & Applied Statistics, Department of Public Health Sciences , University of Virginia , Charlottesville , Virginia , USA.
Christopher Tait

Funding

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 K25 CA181638-01A
6 · The paper itself

Abstract

In dose-finding trials of chemotherapeutic agents, the goal of identifying the maximum tolerated dose is usually determined by considering information on toxicity only, with the assumption that the highest safe dose also provides the most promising outlook for efficacy. Trials of molecularly targeted agents challenge accepted dose-finding methods because minimal toxicity may arise over all doses under consideration and higher doses may not result in greater response. In this article, we propose a new early-phase method for trials investigating targeted agents. We provide simulation results illustrating the operating characteristics of our design.

Indexed as

Molecular Targeted TherapyResearch DesignAlgorithmsAntineoplastic AgentsClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicComputer SimulationData Interpretation, StatisticalDose-Response Relationship, DrugDrug Dosage CalculationsHumansMaximum Tolerated DoseModels, StatisticalNeoplasmsNumerical Analysis, Computer-AssistedTreatment OutcomeAntineoplastic AgentsContinual reassessment methodDose findingMolecularly targeted agentOptimal biological dose

Identifiers

PMID24904956
PMCPMC4363077

What OpenQuestion holds

Textmetadata
LicenceTDM
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.