Evidence map›Paper›PMID 34151131›Full record

ArticleJCO precision oncology2021

Designing Dose-Finding Phase I Clinical Trials: Top 10 Questions That Should Be Discussed With Your Statistician.

Shing M Lee, Nolan A Wages, Karyn A Goodman, A Craig Lockhart

Abstract read
In one paragraph

Article in JCO precision oncology, 2021. 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. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Shing M LeeDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY.
Nolan A WagesDivision of Translational Research and Applied Statistics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA.
Karyn A GoodmanDepartment of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY.
A Craig LockhartDivision of Medical Oncology, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Dose-finding designs for adoptive cell therapy trialsR03CA238966 · NCI · UNIVERSITY OF VIRGINIA · PI WAGES, NOLAN · 2019 to 2020
$162k
NCATS NIH HHS UL1 TR001873NCI NIH HHS R03 CA238966
6 · The paper itself

Abstract

In recent years, the landscape in clinical trial development has changed to involve many molecularly targeted agents, immunotherapies, or radiotherapy, as a single agent or in combination. Given their different mechanisms of action and lengths of administration, these agents have different toxicity profiles, which has resulted in numerous challenges when applying traditional designs such as the 3 + 3 design in dose-finding clinical trials. Novel methods have been proposed to address these design challenges such as combinations of therapies or late-onset toxicities. However, their design and implementation require close collaboration between clinicians and statisticians to ensure that the appropriate design is selected to address the aims of the study and that the design assumptions are pertinent to the study drug. The goal of this paper is to provide guidelines for appropriate questions that should be considered early in the design stage to facilitate the interactions between clinical and statistical teams and to improve the design of dose-finding clinical trials for novel anticancer agents.

Indexed as

Maximum Tolerated DoseAntineoplastic AgentsClinical Trials, Phase I as TopicGuidelines as TopicHumansResearch DesignAntineoplastic Agents

Identifiers

PMID34151131
PMCPMC8205224

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.