Evidence map›Paper›PMID 37982521›Full record

ArticleHealth technology assessment (Winchester, England)2023

Appropriate design and reporting of superiority, equivalence and non-inferiority clinical trials incorporating a benefit-risk assessment: the BRAINS study including expert workshop.

Nikki Totton, Steven A Julious, Elizabeth Coates, Dyfrig A Hughes, Jonathan A Cook, Katie Biggs, Catherine Hewitt, Simon Day, Andrew Cook

Open access · diamondAbstract read
In one paragraph

Article in Health technology assessment (Winchester, England), 2023. 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
2.9field-weighted citation impact, top 7% of its field
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, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

9 authors at 6 institutions in 1 country.

Nikki TottonSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-1900-2773
Steven A JuliousSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-9917-7636
Elizabeth CoatesSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-2388-6102
Dyfrig A HughesCentre for Health Economics and Medicines Evaluation, Bangor University, Bangor, UK.ORCID 0000-0001-8247-7459
Jonathan A CookCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-4156-6989
Katie BiggsSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0003-4468-7417
Catherine HewittYork Trials Unit, Department of Health Sciences, University of York, York, UK.ORCID 0000-0002-0415-3536
Simon DayClinical Trials Consulting & Training Limited, Buckingham, UK.ORCID 0000-0002-5672-6818
Andrew CookWessex Institute, University of Southampton, Southampton, UK.ORCID 0000-0002-6680-439X
University of Sheffield · GBBangor University · GBMRC Clinical Trials Unit at UCL · GBNuffield Orthopaedic Centre · GBUniversity of Southampton · GBUniversity of York · GB

Funding

Medical Research Council UK
6 · The paper itself

Abstract

Background: Randomised controlled trials are designed to assess the superiority, equivalence or non-inferiority of a new health technology, but which trial design should be used is not always obvious in practice. In particular, when using equivalence or non-inferiority designs, multiple outcomes of interest may be important for the success of a trial, despite the fact that usually only a single primary outcome is used to design the trial. Benefit-risk methods are used in the regulatory clinical trial setting to assess multiple outcomes and consider the trade-off of the benefits against the risks, but are not regularly implemented in publicly funded trials. Objectives: The aim of the project is to aid the design of clinical trials with multiple outcomes of interest by defining when each trial design is appropriate to use and identifying when to use benefit-risk methods to assess outcome trade-offs (qualitatively or quantitatively) in a publicly funded trial setting. Methods: A range of methods was used to elicit expert opinion to answer the project objectives, including a web-based survey of relevant researchers, a rapid review of current literature and a 2-day consensus workshop of experts (in 2019). Results: We created a list of 19 factors to aid researchers in selecting the most appropriate trial design, containing the following overarching sections: population, intervention, comparator, outcomes, feasibility and perspectives. Six key reasons that indicate a benefit-risk method should be considered within a trial were identified: (1) when the success of the trial depends on more than one outcome; (2) when important outcomes within the trial are in competing directions (i.e. a health technology is better for one outcome, but worse for another); (3) to allow patient preferences to be included and directly influence trial results; (4) to provide transparency on subjective recommendations from a trial; (5) to provide consistency in the approach to presenting results from a trial; and (6) to synthesise multiple outcomes into a single metric. Further information was provided to support the use of benefit-risk methods in appropriate circumstances, including the following: methods identified from the review were collated into different groupings and described to aid the selection of a method; potential implementation of methods throughout the trial process were provided and discussed (with examples); and general considerations were described for those using benefit-risk methods. Finally, a checklist of five pieces of information that should be present when reporting benefit-risk methods was defined, with two additional items specifically for reporting the results. Conclusions: These recommendations will assist research teams in selecting which trial design to use and deciding whether or not a benefit-risk method could be included to ensure research questions are answered appropriately. Additional information is provided to support consistent use and clear reporting of benefit-risk methods in the future. The recommendations can also be used by funding committees to confirm that appropriate considerations of the trial design have been made. Limitations: This research was limited in scope and should be considered in conjunction with other trial design methodologies to assess appropriateness. In addition, further research is needed to provide concrete information about which benefit-risk methods are best to use in publicly funded trials, along with recommendations that are specific to each method. Study registration: The rapid review is registered as PROSPERO CRD42019144882. Funding: Funded by the Medical Research Council UK and the National Institute for Health and Care Research as part of the Medical Research Council-National Institute for Health and Care Research Methodology Research programme.

Indexed as

Patient PreferenceResearch DesignHumansRandomized Controlled Trials as TopicBENEFIT–RISKCLINICAL TRIALSEQUIVALENCENON-INFERIORITYSUPERIORITY

Identifiers

PMID37982521
PMCPMC11017151
OpenAlexW4388826491

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.