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Record W3198172744 · doi:10.3310/hta25530

Placebo comparator group selection and use in surgical trials: the ASPIRE project including expert workshop

2021· article· en· W3198172744 on OpenAlexaff
David Beard, Marion Campbell, Jane Blazeby, Andrew Carr, Charles Weijer, Brian H. Cuthbertson, Rachelle Buchbinder, Thomas Pinkney, Felicity L. Bishop, Jonathan Pugh, Sian Cousins, Ian A. Harris, Stefan Lohmander, Natalie Blencowe, Katie Gillies, Pascal Probst, Carol Brennan, Andrew Cook, Dair Farrar-Hockley, Julian Savulescu, Richard Huxtable, Amar Rangan, Irene Tracey, Peter Brocklehurst, Manuela L. Ferreira, Jon Nicholl, Barnaby C Reeves, Freddie C. Hamdy, Samuel Rowley, Naomi Lee, Jonathan Cook

Bibliographic record

VenueHealth Technology Assessment · 2021
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science CentreWestern University
FundersEvidence Synthesis ProgrammeNational Health and Medical Research CouncilH. Lundbeck A/SMedical Research CouncilRTI InternationalVersus ArthritisNational Research Foundation of KoreaHealth Technology Assessment ProgrammeEuropean CommissionGuarantors of BrainDepartment of Health and Social CareNational Institute for Health and Care ResearchElizabeth Blackwell Institute for Health Research, University of BristolNational Research FoundationEngineering and Physical Sciences Research CouncilEli Lilly and CompanyUK Research and InnovationWellcome Trust
KeywordsMedicinePlaceboSelection (genetic algorithm)Medical physicsAlternative medicineArtificial intelligenceComputer sciencePathology

Abstract

fetched live from OpenAlex

BACKGROUND: The use of placebo comparisons for randomised trials assessing the efficacy of surgical interventions is increasingly being considered. However, a placebo control is a complex type of comparison group in the surgical setting and, although powerful, presents many challenges. OBJECTIVES: To provide a summary of knowledge on placebo controls in surgical trials and to summarise any recommendations for designers, evaluators and funders of placebo-controlled surgical trials. DESIGN: To carry out a state-of-the-art workshop and produce a corresponding report involving key stakeholders throughout. SETTING: A workshop to discuss and summarise the existing knowledge and to develop the new guidelines. RESULTS: To assess what a placebo control entails and to assess the understanding of this tool in the context of surgery is considered, along with when placebo controls in surgery are acceptable (and when they are desirable). We have considered ethics arguments and regulatory requirements, how a placebo control should be designed, how to identify and mitigate risk for participants in these trials, and how such trials should be carried out and interpreted. The use of placebo controls is justified in randomised controlled trials of surgical interventions provided that there is a strong scientific and ethics rationale. Surgical placebos might be most appropriate when there is poor evidence for the efficacy of the procedure and a justified concern that results of a trial would be associated with a high risk of bias, particularly because of the placebo effect. CONCLUSIONS: The use of placebo controls is justified in randomised controlled trials of surgical interventions provided that there is a strong scientific and ethics rationale. Feasibility work is recommended to optimise the design and implementation of randomised controlled trials. An outline for best practice was produced in the form of the Applying Surgical Placebo in Randomised Evaluations (ASPIRE) guidelines for those considering the use of a placebo control in a surgical randomised controlled trial. LIMITATIONS: Although the workshop participants involved international members, the majority of participants were from the UK. Therefore, although every attempt was made to make the recommendations applicable to all health systems, the guidelines may, unconsciously, be particularly applicable to clinical practice in the UK NHS. FUTURE WORK: Future work should evaluate the use of the ASPIRE guidelines in making decisions about the use of a placebo-controlled surgical trial. In addition, further work is required on the appropriate nomenclature to adopt in this space. FUNDING: Funded by the Medical Research Council UK and the National Institute for Health Research as part of the Medical Research Council-National Institute for Health Research Methodology Research programme.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.239
GPT teacher head0.469
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2021
Admission routes1
Has abstractyes

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