Managing clustering effects and learning effects in the design and analysis of randomised surgical trials: a review of existing guidance

Conroy, Elizabeth J ORCID: 0000-0003-4858-727X, Blazeby, Jane M, Burnside, Girvan ORCID: 0000-0001-7398-1346, Cook, Jonathan A and Gamble, Carrol ORCID: 0000-0002-3021-1955 (2022) Managing clustering effects and learning effects in the design and analysis of randomised surgical trials: a review of existing guidance. TRIALS, 23 (1). 869-.

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Abstract

<h4>Background</h4>The complexities associated with delivering randomised surgical trials, such as clustering effects, by centre or surgeon, and surgical learning, are well known. Despite this, approaches used to manage these complexities, and opinions on these, vary. Guidance documents have been developed to support clinical trial design and reporting. This work aimed to identify and examine existing guidance and consider its relevance to clustering effects and learning curves within surgical trials.<h4>Methods</h4>A review of existing guidelines, developed to inform the design and analysis of randomised controlled trials, is undertaken. Guidelines were identified using an electronic search, within the Equator Network, and by a targeted search of those endorsed by leading UK funding bodies, regulators, and medical journals. Eligible documents were compared against pre-specified key criteria to identify gaps or inconsistencies in recommendations.<h4>Results</h4>Twenty-eight documents were eligible (12 Equator Network; 16 targeted search). Twice the number of guidance documents targeted design (n/N=20/28, 71%) than analysis (n/N=10/28, 36%). Managing clustering by centre through design was well documented. Clustering by surgeon had less coverage and contained some inconsistencies. Managing the surgical learning curve, or changes in delivery over time, through design was contained within several documents (n/N=8/28, 29%), of which one provided guidance on reporting this and restricted to early phase studies only. Methods to analyse clustering effects and learning were provided in five and four documents respectively (N=28).<h4>Conclusions</h4>To our knowledge, this is the first review as to the extent to which existing guidance for designing and analysing randomised surgical trials covers the management of clustering, by centre or surgeon, and the surgical learning curve. Twice the number of identified documents targeted design aspects than analysis. Most notably, no single document exists for use when designing these studies, which may lead to inconsistencies in practice. The development of a single document, with agreed principles to guide trial design and analysis across a range of realistic clinical scenarios, is needed.

Item Type:	Article
Uncontrolled Keywords:	Trials, Clinical trial, Randomised controlled trial, Complex intervention, Surgical intervention, Trial design, Trial analysis, Summary, Review, Clustering, Learning
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Population Health
Depositing User:	Symplectic Admin
Date Deposited:	14 Sep 2022 14:44
Last Modified:	18 Jan 2023 20:41
DOI:	10.1186/s13063-022-06743-6
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3164695