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Record W4378214136 · doi:10.1136/bmj-2022-072108

Recommendations for the development, implementation, and reporting of control interventions in efficacy and mechanistic trials of physical, psychological, and self-management therapies: the CoPPS Statement

2023· article· en· W4378214136 on OpenAlexafffund
David Hohenschurz‐Schmidt, Lene Vase, Whitney Scott, Marco Annoni, Oluwafemi K Ajayi, Jürgen Barth, Kim L. Bennell, Chantal Berna, Joel E. Bialosky, F BRAITHWAITE, Nanna Brix Finnerup, Amanda C de C Williams, Elisa Carlino, Francesco Cerritelli, Aleksander Chaibi, Dan Cherkin, Luana Colloca, Pierre Côté, Beth D. Darnall, Roni Evans, Laurent Fabre, Vanda Faria, Simon French, Heike Gerger, Winfried Häuser, Rana S. Hinman, Dien Ho, Thomas Janssens, Karin Jensen, Chris Johnston, Sigrid Juhl Lunde, Francis J. Keefe, Robert D. Kerns, Helen Koechlin, Alice Kongsted, Lori A. Michener, Daniel E. Moerman, Frauke Musial, David Newell, Michael K. Nicholas, Tonya M. Palermo, Sara Palermo, Kaya J. Peerdeman, Esther Pogatzki‐Zahn, Aaron A. Puhl, Lisa Roberts, Giacomo Rossettini, Susan Tomczak Matthiesen, Martin Underwood, Paul Vaucher, Jan Vollert, Karolina Wartolowska, Katja Weimer, Christoph Werner, Andrew S.C. Rice, Jerry Draper‐Rodi

Bibliographic record

VenueBMJ · 2023
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsHand and Upper Limb ClinicOntario Tech University
FundersNational Institute of Dental and Craniofacial ResearchNational Institute of Arthritis and Musculoskeletal and Skin DiseasesCanadian Institutes of Health ResearchUniversity of Texas MD Anderson Cancer CenterNational Institutes of HealthBerner FachhochschuleAdvanced Scientific Computing ResearchNSW Ministry of HealthVetenskapsrådetBundesministerium für Bildung und ForschungFlinders UniversityUniversity of SydneySydney Medical SchoolSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungDeutsche ForschungsgemeinschaftNovartis PharmaEuropean CommissionVersus ArthritisStowers Institute for Medical ResearchAustralian GovernmentGemeinsame BundesausschussUniversity of OxfordEuropean Chiropractors' UnionUniversiteit LeidenNational Health and Medical Research CouncilRoyal British LegionEli Lilly and CompanyEuropean Federation of Pharmaceutical Industries and AssociationsInternational Association for the Study of PainBiogenSocial Sciences and Humanities Research Council of CanadaUniversität BaselPatient-Centered Outcomes Research InstituteNational Institute for Health and Care ResearchMedical Research CouncilTeva Pharmaceutical IndustriesAustralian Pain SocietyAmerican Cancer SocietyNational Institute on Drug AbuseVertex PharmaceuticalsDirectorate for Biological SciencesImperial College LondonNational Science Foundation
KeywordsPsychological interventionRigourChecklistContext (archaeology)MedicineTransparency (behavior)Intervention (counseling)Alternative medicineControl (management)Quality (philosophy)Management sciencePsychologyApplied psychologyComputer scienceNursingPathology

Abstract

fetched live from OpenAlex

Control interventions (often called “sham,” “placebo,” or “attention controls”) are essential for studying the efficacy or mechanism of physical, psychological, and self-management interventions in clinical trials. This article presents core recommendations for designing, conducting, and reporting control interventions to establish a quality standard in non-pharmacological intervention research. A framework of additional considerations supports researchers’ decision making in this context. We also provide a reporting checklist for control interventions to enhance research transparency, usefulness, and rigour.

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)0.014
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.284
GPT teacher head0.497
Teacher spread0.213 · 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 designOther design
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

Citations103
Published2023
Admission routes2
Has abstractyes

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