Evidence map›Paper›PMID 32222766›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Resist the Temptation of Response-Adaptive Randomization.

Michael Proschan, Scott Evans

Registry-linked trialAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07491419 (The Impact of Fast Antimicrobial Sensitivity Testing Tools on Stewardship Antibiotic and Clinical Outcome), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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.

NCT07491419 narecruitingnot on this mapstarted 2026, after this paper: background citation

The Impact of Fast Antimicrobial Sensitivity Testing Tools on Stewardship Antibiotic and Clinical Outcome: a Randomized Clinical Trial Within an Adaptive Platform Trial for Patients With Bloodstream Infections

TypeinterventionalSponsorIstituto Clinico HumanitasRan2026 to 2028Enrolled400ConditionsBloodstream Infection, Gram-Negative Infections, Gram-Positive Infections, Bacteremia SepsisArmsDiagnostic Test: Rapid Antimicrobial Susceptibility Testing (R-AST) guided Stewardship, Standard of Care (SOC)
3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Trial
  2. A roadmap to using randomization in clinical trials.BMC medical research methodology · 2021
    Trial
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  14. Using biomarkers to allocate patients in a response-adaptive clinical trial.Communications in statistics: Simulation and computation · 2023
    Article
  15. Bayesian Strategies in Rare Diseases.Therapeutic innovation & regulatory science · 2023
    Review
  16. Response-adaptive randomization in clinical trials: from myths to practical considerations.Statistical science : a review journal of the Institute of Mathematical Statistics · 2023
    Article
  17. Review
  18. Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Michael ProschanMathematical Statistician, Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA.
Scott EvansDepartment of Biostatistics and Bioinformatics; Director, Biostatistics Center, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Response-adaptive randomization (RAR) has recently gained popularity in clinical trials. The intent is noble: minimize the number of participants randomized to inferior treatments and increase the amount of information about better treatments. Unfortunately, RAR causes many problems, including (1) bias from temporal trends, (2) inefficiency in treatment effect estimation, (3) volatility in sample-size distributions that can cause a nontrivial proportion of trials to assign more patients to an inferior arm, (4) difficulty of validly analyzing results, and (5) the potential for selection bias and other issues inherent to being unblinded to ongoing results. The problems of RAR are most acute in the very setting for which RAR has been proposed, namely long-duration "platform" trials and infectious disease settings where temporal trends are ubiquitous. Response-adaptive randomization can eliminate the benefits that randomization, the most powerful tool in clinical trials, provides. Use of RAR is discouraged.

Indexed as

Research DesignAdaptive Clinical Trials as TopicBayes TheoremBiasHumansLongitudinal StudiesRandom AllocationSample SizeBayesian approachfrequentist approachplatform trialsresponse-adaptive randomizationtemporal trend

Identifiers

PMID32222766
PMCPMC7947972

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.