Evidence map›Paper›PMID 21893215›Full record

ReviewContemporary clinical trials2011

Block urn design - a new randomization algorithm for sequential trials with two or more treatments and balanced or unbalanced allocation.

Wenle Zhao, Yanqiu Weng

Registry-linked trialAbstract readReview
In one paragraph

Review in Contemporary clinical trials, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06705764 (Tezepelumab in the Treatment of Emergency Room Asthma in Adults), which is not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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.

NCT06705764 phase4recruitingnot on this mapstarted 2026, after this paper: background citation

Tezepelumab in the Treatment of Emergency Room Asthma in Adults (TERAA): A Phase 4 Double-Blinded, Parallel-Group, Randomized Control Trial With an Open Label Extension

TypeinterventionalSponsorUniversity of AlbertaRan2026 to 2026Enrolled100ConditionsSevere AsthmaArmsTezepelumab, Placebo
3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Trial
  2. Trial
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  5. A roadmap to using randomization in clinical trials.BMC medical research methodology · 2021
    Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Forced randomization: the what, why, and how.BMC medical research methodology · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Characterizing permuted block randomization as a big stick procedure.Contemporary clinical trials communications · 2016
    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

2 authors.

Wenle ZhaoDepartment of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA. zhaow@musc.edu
Yanqiu Weng

Funding

Neurological Emergencies Treatment Trials Network Statistical and Data ManagementU01NS059041 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DURKALSKI, VALERIE L, PALESCH, YUKO Y · 2006 to 2015
$9.1M
The ALIAS StudyU01NS054630 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI PALESCH, YUKO Y · 2005 to 2010
$6.9M
Albumin in Acute Stroke (ALIAS) Trial Statistical and Data Coordinating CenterR01NS054630 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI PALESCH, YUKO Y · 2011 to 2012
$2.4M
NINDS NIH HHS U01 NS0059041NINDS NIH HHS U01 NS054630NINDS NIH HHS U01 NS059041
6 · The paper itself

Abstract

Permuted block design is the most popular randomization method used in clinical trials, especially for trials with more than two treatments and unbalanced allocation, because of its consistent imbalance control and simplicity in implementation. However, the risk of selection biases caused by high proportion of deterministic assignments is a cause of concern. Efron's biased coin design and Wei's urn design provide better allocation randomness without deterministic assignments, but they do not consistently control treatment imbalances. Alternative randomization designs with improved performances have been proposed over the past few decades, including Soares and Wu's big stick design, which has high allocation randomness, but is limited to two-treatment balanced allocation scenarios only, and Berger's maximal procedure design which has a high allocation randomness and a potential for more general trial scenarios, but lacks the explicit function for the conditional allocation probability and is more complex to implement than most other designs. The block urn design proposed in this paper combines the advantages of existing randomization designs while overcoming their limitations. Statistical properties of the new algorithm are assessed and compared to currently available designs via analytical and computer simulation approaches. The results suggest that the block urn design simultaneously provides consistent imbalance control and high allocation randomness. It can be easily implemented for sequential clinical trials with two or more treatments and balanced or unbalanced allocation.

Indexed as

AlgorithmsModels, StatisticalComputer SimulationHumansProbabilityRandomized Controlled Trials as TopicSelection Bias

Identifiers

PMID21893215
PMCPMC3206733

What OpenQuestion holds

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Registered trials

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.