Evidence map›Paper›PMID 32423467›Full record

ArticleTrials2020

The design and statistical aspects of VIETNARMS: a strategic post-licensing trial of multiple oral direct-acting antiviral hepatitis C treatment strategies in Vietnam.

Leanne McCabe, Ian R White, Nguyen Van Vinh Chau, Eleanor Barnes, Sarah L Pett, Graham S Cooke, A Sarah Walker, SEARCH investigators

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
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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

8 authors.

Leanne McCabeMedical Research Council Clinical Trials Unit at University College London, 90 High Holborn, WC1V 6LJ, London, UK. leanne.mccabe@ucl.ac.uk.ORCID http://orcid.org/0000-0002-6509-8999
Ian R WhiteMedical Research Council Clinical Trials Unit at University College London, 90 High Holborn, WC1V 6LJ, London, UK.
Nguyen Van Vinh ChauHospital for Tropical Diseases, 764 Vo Van Kiet, Ho Chi Minh City, Vietnam.
Eleanor BarnesOxford University, South Parks Road, OX1 3SY, Oxford, UK.
Sarah L PettMedical Research Council Clinical Trials Unit at University College London, 90 High Holborn, WC1V 6LJ, London, UK.
Graham S CookeImperial College London, SW7 2AZ, London, Kensington, UK.
A Sarah WalkerMedical Research Council Clinical Trials Unit at University College London, 90 High Holborn, WC1V 6LJ, London, UK.
SEARCH investigators

Funding

Medical Research Council MC_UU_12023/22Medical Research Council MC_UU_12023/29Medical Research Council MR/K01532X/1Medical Research Council MR/P025064/1Medical Research Council MR/R015600/1Wellcome TrustWellcome Trust 206296/Z/17/Z
6 · The paper itself

Abstract

backgroundEliminating hepatitis C is hampered by the costs of direct-acting antiviral treatment and the need to treat hard-to-reach populations. Access could be widened by shortening or simplifying treatment, but limited research means it is unclear which approaches could achieve sufficiently high cure rates to be acceptable. We present the statistical aspects of a multi-arm trial designed to test multiple strategies simultaneously and a monitoring mechanism to detect and stop individual randomly assigned groups with unacceptably low cure rates quickly.

methodsThe VIETNARMS trial will factorially randomly assign patients to two drug regimens, three treatment-shortening strategies or control, and adjunctive ribavirin or no adjunctive ribavirin with shortening strategies (14 randomly assigned groups). We will use Bayesian monitoring at interim analyses to detect and stop recruitment into unsuccessful strategies, defined by more than 0.95 posterior probability that the true cure rate is less than 90% for the individual randomly assigned group (non-comparative). Final comparisons will be non-inferiority for regimens (margin 5%) and strategies (margin 10%) and superiority for adjunctive ribavirin. Here, we tested the operating characteristics of the stopping guideline for individual randomly assigned groups, planned interim analysis timings and explored power at the final analysis.

resultsA beta (4.5, 0.5) prior for the true cure rate produces less than 0.05 probability of incorrectly stopping an individual randomly assigned group with a true cure rate of more than 90%. Groups with very low cure rates (<60%) are very likely (>0.9 probability) to stop after about 25% of patients are recruited. Groups with moderately low cure rates (80%) are likely to stop (0.7 probability) before overall recruitment finishes. Interim analyses 7, 10, 13 and 18 months after recruitment commences provide good probabilities of stopping inferior individual randomly assigned groups. For an overall true cure rate of 95%, power is more than 90% to confirm non-inferiority in the regimen and strategy comparisons, regardless of the control cure rate, and to detect a 5% absolute difference in the ribavirin comparison.

conclusionsThe operating characteristics of the stopping guideline are appropriate, and interim analyses can be timed to detect individual randomly assigned groups that are highly likely to have suboptimal performance at various stages. Therefore, our design is suitable for evaluating treatment-shortening or -simplifying strategies.

trial registrationISRCTN registry: ISRCTN61522291. Registered on 4 October 2019.

Indexed as

Administration, OralAntiviral AgentsBayes TheoremBenzimidazolesBenzopyransCarbamatesDrug MonitoringDrug Therapy, CombinationHepacivirusHepatitis CHeterocyclic Compounds, 4 or More RingsHumansImidazolesInterferon-alphaInterferon alpha-2Polyethylene GlycolsAntiviral AgentsBenzimidazolesBenzopyransCarbamatesdaclatasvirHeterocyclic Compounds, 4 or More RingsImidazolesInterferon-alphaInterferon alpha-2peginterferon alfa-2bPolyethylene GlycolsPyrrolidinesRecombinant ProteinsRibavirinSofosbuvirValinevelpatasvirAdaptive designBayesian methodsClinical trialHepatitis CInterim analysesMulti-armTrial design

Identifiers

PMID32423467
PMCPMC7236096

What OpenQuestion holds

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Registered trials

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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.