Evidence map›Paper›PMID 36212769›Full record

ArticleAnnual review of statistics and its application2021

Adaptive Enrichment Designs in Clinical Trials.

Peter F Thall

Abstract read
In one paragraph

Article in Annual review of statistics and its application, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Preclinical models of COPD: a state of the art review.The European respiratory journal · 2026
    Review
  4. Article
  5. Review
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  7. Article
  8. Efficient Testing Using Surrogate Information.Biometrical journal. Biometrische Zeitschrift · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Gerontologic Biostatistics and Data Science: Aging Research in the Era of Big Data.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  16. Article
  17. Article
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  20. 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

1 author.

Peter F ThallDepartment of Biostatistics, M.D. Anderson Cancer Center, University of Texas, Houston, Texas 77030, USA.

Funding

THE THERAPY OF AMLP01CA055164 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI THOMAS, MATTIE J · 1992 to 2011
$25.3M
NCI NIH HHS P01 CA055164
6 · The paper itself

Abstract

Adaptive enrichment designs for clinical trials may include rules that use interim data to identify treatment-sensitive patient subgroups, select or compare treatments, or change entry criteria. A common setting is a trial to compare a new biologically targeted agent to standard therapy. An enrichment design's structure depends on its goals, how it accounts for patient heterogeneity and treatment effects, and practical constraints. This article first covers basic concepts, including treatment-biomarker interaction, precision medicine, selection bias, and sequentially adaptive decision making, and briefly describes some different types of enrichment. Numerical illustrations are provided for qualitatively different cases involving treatment-biomarker interactions. Reviews are given of adaptive signature designs; a Bayesian design that uses a random partition to identify treatment-sensitive biomarker subgroups and assign treatments; and designs that enrich superior treatment sample sizes overall or within subgroups, make subgroup-specific decisions, or include outcome-adaptive randomization.

Indexed as

adaptive signature designBayesian designbiomarkerclinical trialgroup sequential designprecision medicinesubset selectiontargeted therapyvariable selection

Identifiers

PMID36212769
PMCPMC9544313

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.