Evidence map›Paper›PMID 23994669›Full record

ArticleContemporary clinical trials2013

Group sequential designs for developing and testing biomarker-guided personalized therapies in comparative effectiveness research.

Tze Leung Lai, Olivia Yueh-Wen Liao, Dong Woo Kim

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  4. Review
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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.
Olivia Yueh-Wen Liao
Dong Woo Kim

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
NCI NIH HHS 1 P30 CA124435-01NCI NIH HHS P30 CA124435
6 · The paper itself

Abstract

Biomarker-guided personalized therapies offer great promise to improve drug development and improve patient care, but also pose difficult challenges in designing clinical trials for the development and validation of these therapies. We first give a review of the existing approaches, briefly for clinical trials in new drug development and in more detail for comparative effectiveness trials involving approved treatments. We then introduce new group sequential designs to develop and test personalized treatment strategies involving approved treatments.

Indexed as

Bayes TheoremBiomarkersClinical ProtocolsComparative Effectiveness ResearchDrug TherapyHumansModels, StatisticalPrecision MedicineRandomized Controlled Trials as TopicBiomarkersAdaptive randomizationBiomarker classifiersGeneralized likelihood ratio statisticsGroup sequential designMultiple testingTargeted therapies

Identifiers

PMID23994669
PMCPMC6364679

What OpenQuestion holds

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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.