Evidence map›Paper›PMID 33175640›Full record

ArticleJournal of biopharmaceutical statistics2020

Design and analysis of biomarker-integrated clinical trials with adaptive threshold detection and flexible patient enrichment.

Ting Wang, Xiaofei Wang, Stephen L George, Haibo Zhou

Open access · greenAbstract read
In one paragraph

Article in Journal of biopharmaceutical statistics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Testing for a treatment effect in a selected subgroup.Statistical methods in medical research · 2024
    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 at 2 institutions in 1 country.

Ting WangDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Xiaofei WangDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.
Stephen L GeorgeDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.
Haibo ZhouDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Duke University · USUniversity of North Carolina at Chapel Hill · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
The UNC Chapel Hill Superfund Research Program (UNC-SRP)P42ES031007 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Rebecca Fry · 2020 to 2026
$22.2M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Transforming Clinical Trials for Elderly and Rare Cancers through Intelligent and Robust Information BorrowingR01AG066883 · NIA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Xiaofei Wang, Shu Yang · 2020 to 2026
$2.0M
NCI NIH HHS P01 CA142538NIA NIH HHS R01 AG066883NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES031007
6 · The paper itself

Abstract

We propose a new adaptive threshold detection and enrichment design in which the biomarker threshold is adaptively estimated and updated by optimizing a trade-off between the size of the biomarker positive population and the magnitude of the treatment effect in that population. Enrichment is based on an enrollment criterion that accounts for the uncertainty in estimation of the threshold. Early termination for futility is allowed based on predictive success probability. Valid testing and estimation techniques for the treatment effect overall and inpatient subgroups are studied. Simulations and an example demonstrate advantages of the proposed design over existing designs.

Indexed as

Clinical Trials as TopicResearch DesignBiomarkersHumansProbabilityBiomarkersadaptive threshold estimationbiomarker-integrated clinical trialscontinuous biomarkermulti-stage designpatient enrichmentpredictive probability of successtesting and estimation of treatment effects

Identifiers

PMID33175640
PMCPMC7954851
OpenAlexW3105810552

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.