Evidence map›Paper›PMID 25205644›Full record

Trial reportContemporary clinical trials2014

Adaptive choice of patient subgroup for comparing two treatments.

Tze Leung Lai, Philip W Lavori, Olivia Yueh-Wen Liao

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Contemporary clinical trials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. A multicenter randomized controlled trial of endovascular therapy following imaging evaluation for ischemic stroke (DEFUSE 3).International journal of stroke : official journal of the International Stroke Society · 2017
    Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Multi-stage adaptive enrichment trial design with subgroup estimation.Journal of biopharmaceutical statistics · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. 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.

Tze Leung LaiDepartment of Statistics, Stanford University, Stanford, CA, USA.
Philip W LavoriDepartment of Health Research Policy, Stanford University, Stanford, CA, USA.
Olivia Yueh-Wen LiaoOnyx Pharmaceuticals, South San Francisco, CA, USA. Electronic address: oliao@onyx.com.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI · 2007 to 2026
$71.4M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
NCATS NIH HHS UL1 TR001085NCI NIH HHS P30 CA124435NCRR NIH HHS UL1 RR025744
6 · The paper itself

Abstract

This paper is motivated by a randomized controlled trial to compare an endovascular procedure with conventional medical treatment for stroke patients, in which the endovascular procedure may be effective only in a subgroup of patients. Since the subgroup is not known at the design stage but can be learned statistically from the data collected during the course of the trial, we develop a novel group sequential design that incorporates adaptive choice of the patient subgroup among several possibilities which include the entire patient population as a choice. We define the type I and type II errors of a test in this design and show how a prescribed type I error can be maintained by using the closed testing principle in multiple testing. We also show how asymptotically optimal tests can be constructed by using generalized likelihood ratio statistics for parametric problems and analogous standardized or Studentized statistics for nonparametric tests such as Wilcoxon's rank sum test commonly used for treatment comparison in stroke patients.

Indexed as

Research DesignChoice BehaviorComputer SimulationEndovascular ProceduresHumansMagnetic Resonance ImagingModels, StatisticalSample SizeStatistics, NonparametricStrokeTissue Plasminogen ActivatorTissue Plasminogen ActivatorAdaptive selectionGeneralized likelihood ratio statisticsGroup sequential designKullback–Leibler informationMultiple testingNormalized Wilcoxon statistic

Identifiers

PMID25205644
PMCPMC4470707

What OpenQuestion holds

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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.