Evidence map›Paper›PMID 39627838›Full record

ReviewTrials2024

A review of UK publicly funded non-inferiority trials: is the design more inferior than it should be?

Nikki Totton, Steven Julious, Stephen Walters, Elizabeth Coates

Abstract readReview
In one paragraph

Review in Trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Nikki TottonSheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK. n.v.totton@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-1900-2773
Steven JuliousSheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Stephen WaltersSheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Elizabeth CoatesDepartment of Neuroscience, University of Sheffield, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of non-inferiority (NI) trials, those aiming to show a new treatment is no worse than a comparator, is increasing. However, their added complexity over superiority trials can create confusion. Most guidance and reviews to date have an industry focus with research suggesting these trials may differ from publicly funded NI trials. The aim of this work is to review the design and reporting characteristics of UK publicly funded NI trials. This assessment will show how well recommendations from industry are translating to publicly funded trials.

methodsThe International Standard Randomised Controlled Trial Number web registry and the National Institute for Health and Care Research's Funding and Awards Library and Journals Library were searched using the term non-inferiority and logical synonyms. Inclusion requirements were a UK publicly funded NI randomised controlled trial. Characteristics of the design, analyses and results as available were recorded on a dedicated data extraction spreadsheet. Appropriate summary statistics were used to present the results.

resultsSearches completed on the 14th of January 2022 identified 477 potential trials which after exclusions resulted in a database of 114 NI trials to be summarised. Non-inferiority margins were defined for most trials with a median of 8% (IQR: 3-10%) used for risk differences (n = 58) and 0.35 (IQR: 0.26-0.43) standardised mean difference for continuous outcomes (n = 30). Justifications for the margin chosen (n = 62) were more commonly based on the clinical importance (49/62) and less commonly using statistical considerations (13/62). The most prevalent primary analysis population was solely on an intention-to-treat basis (49/114). The superiority of the treatment was well described but not always included as an outcome and only powered for in about a third of cases.

conclusionsAspects of NI trial design are well described but not always in line with current recommendations. Of particular note, is the absence of statistical considerations when setting the non-inferiority margin, which eliminates the ability to confirm indirect superiority over placebo for the new treatment. Additionally, despite suggestions that it can increase the type 1 error in NI trials, the use of the intention-to-treat alone is the most common analysis population.

trial registrationResearch on Research ID: 3171 (registration date: 31st May 2023).

Indexed as

Equivalence Trials as TopicResearch DesignData Interpretation, StatisticalFinancing, GovernmentHumansResearch Support as TopicTreatment OutcomeUnited KingdomAnalysis populationMargin justificationNon-inferiority marginNon-inferiority trialsReview

Identifiers

PMID39627838
PMCPMC11616184

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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.