Evidence map›Paper›PMID 31264936›Full record

ArticleJournal of biopharmaceutical statistics2019

Generalization of the time-to-event continual reassessment method to bivariate outcomes.

Donglin Yan, Christopher Tait, Nolan A Wages, Tamila Kindwall-Keller, Emily V Dressler

Abstract read
In one paragraph

Article in Journal of biopharmaceutical statistics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Totality of the Evidence: Optimizing Dosage Selection Strategies in Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 · 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

5 authors.

Donglin Yana Department of Biostatistics, College of Public Health, University of Kentucky , Lexington , Kentucky , USA.
Christopher Taitb Department of Biostatistics, PRA Health Sciences , Charlottesville , Virginia , USA.
Nolan A Wagesc Department of Public Health Sciences, University of Virginia , Charlottesville , Virginia , USA.
Tamila Kindwall-Kellerd Division of Hematology/Oncology, University of Virginia Health System , Charlottesville , Virginia , USA.
Emily V Dresslere Department of Biostatistical Sciences, Wake Forest School of Medicine , Winston-Salem , North Carolina , USA.

Funding

Phase I Designs for Combined Immunotherapies in CancerK25CA181638 · NCI · UNIVERSITY OF VIRGINIA · PI WAGES, NOLAN · 2014 to 2018
$780k
NCI NIH HHS K25 CA181638
6 · The paper itself

Abstract

This article considers the problem of designing Phase I-II clinical trials with delayed toxicity and efficacy outcomes. The proposed design is motivated by a Phase I-II study evaluating all-trans retinoic acid (ATRA) in combination with a fixed dose of daratumumab in the treatment of relapsed or refractory multiple myeloma. The primary objective of the study is to identify a dose that maximizes efficacy and has an acceptable level of toxicity. The toxicity endpoint is observed in one cycle of therapy (

Indexed as

Clinical Trials, Phase I as TopicClinical Trials, Phase II as TopicResearch DesignAntibodies, MonoclonalHumansMultiple MyelomaTretinoinAntibodies, MonoclonaldaratumumabTretinoincontinual reassessment methoddose findingmolecularly targeted agentoptimal doseTime-to-event

Identifiers

PMID31264936
PMCPMC6823630

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.