Evidence map›Paper›PMID 31621944›Full record

ArticleStatistics in medicine2019

Two-stage enrichment clinical trial design with adjustment for misclassification in predictive biomarkers.

Yong Lin, Weichung J Shih, Shou-En Lu

Abstract read
In one paragraph

Article in Statistics in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Yong LinDepartment of Biostatistics and Epidemiology, School of Public Health, Rutgers University, Piscataway, New Jersey.ORCID 0000-0002-5710-5036
Weichung J ShihDepartment of Biostatistics and Epidemiology, School of Public Health, Rutgers University, Piscataway, New Jersey.ORCID 0000-0003-1167-6121
Shou-En LuDepartment of Biostatistics and Epidemiology, School of Public Health, Rutgers University, Piscataway, New Jersey.ORCID 0000-0002-0916-1842

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Shridar Ganesan · 1997 to 2026
$94.5M
NCI NIH HHS P30 CA072720
6 · The paper itself

Abstract

A two-stage enrichment design is a type of adaptive design, which extends a stratified design with a futility analysis on the marker negative cohort at the first stage, and the second stage can be either a targeted design with only the marker positive stratum, or still the stratified design with both marker strata, depending on the result of the interim futility analysis. In this paper, we consider the situation where the marker assay and the classification rule are possibly subject to error. We derive the sequential tests for the global hypothesis as well as the component tests for the overall cohort and the marker-positive cohort. We discuss the power analysis with the control of the type I error rate and show the adverse impact of the misclassification on the powers. We also show the enhanced power of the two-stage enrichment over the one-stage design and illustrate with examples of the recent successful development of immunotherapy in non-small-cell lung cancer.

Indexed as

Adaptive Clinical Trials as TopicAntineoplastic Agents, ImmunologicalBiomarkersBiostatisticsCarcinoma, Non-Small-Cell LungCohort StudiesHumansImmunotherapyLung NeoplasmsModels, StatisticalProgression-Free SurvivalSample SizeAntineoplastic Agents, ImmunologicalBiomarkerscomposite hypothesisenrichment designpredictive biomarkersensitivity and specificity

Identifiers

PMID31621944
PMCPMC6842057

What OpenQuestion holds

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Registered trials

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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.