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Rationale and design of the colchicine for the prevention of perioperative atrial fibrillation in patients undergoing major noncardiac thoracic surgery (COP-AF) trial
David Conen, Ekaterine Popova, Michael Ke Wang, Matthew T.V. Chan, Giovanni Landoni, Cara Reimer, Sadeesh Srinathan, Juan P. Cata, Sean R. McLean, Juan Carlos Trujillo Reyes, Ascensión Martín Grande, Anna Gonzàlez Tallada, Daniel I. Sessler, Edith Fleischmann, Donna E. Maziak, Barbara Kabon, Luca Voltolini, Laura Gutiérrez-Soriano, Vikas Tandon, Deborah DuMerton, Biniam Kidane, Ravi Rajaram, Yaron Shargall, John Neary, Jennifer R. Wells, William F. McIntyre, Steffen Blum, Sandra Ofori, Jessica Vincent, Lizhen Xu, Zhuoru Li, Jeff S. Healey, Amit X. Garg, P.J. Devereaux, Devereaux, Mohammed Amir, Shrikant I. Bangdiwala, Matthias Bossard, John W. Eikelboom, Sanjit S. Jolly, Félix R. Montes, Denis Schmartz, Chew Yin Wang, Jesús Álvarez‐García, Giuliana Bianco, Danielle de Sá Boasquevisque, Flávia K. Borges, Hélène Chiarella-Redfern, Aránzazu González Osuna, Maura Marcucci, Pascal Meyre, Christopher Oleynick, Anna Ramos‐Pachón, Hugh Traquair, L. Brent Mitchell, George Wyse, Davy Cheng, Finlay A. McAlister, George A. Wells, Geethan Baskaran, Julia Gennaccaro, Rosemary Howe, Louise Mastrangelo, Shirley Pettit, Subana Shahbaz, Makayla Tosh, Simona J. Zucchetto, Laura Heenan, Shun Fu Lee, Christian Reiterer, Alexander Taschner, Katharina Horvath, Nikolas Adamowitsch, Oliver Zotti, Nicole Hantáková, Beatrix Hochreiter, Isabelle Huybrechts, Serge Cappeliez, Christian Finley, John Agzarian, Waël C. Hanna, Muammar Abdulrahman, Kelly Lawrence, Krysten Gregus, Faraaz Quraishi, Spencer Wikkerink, Christine Wallace, Merissa Prine, Emily Gregus, Jacqueline Hare, Kristen Lombardo, Behashta Fezia, Teresa Columbus, Ken R. Reid, Joel L. Parlow, Wiley Chung, Maria Karizhenskaia, Aftab Ahmad Malik, Richard Liu, Lawrence Tan, Stephen Gowing, Gordon Buduhan, Stephanie Enns, Emma Poole, Kristin M. Graham, Anna McGuire, Jens Lohser, Shirley Geok‐lin Lim, Rebecca Grey, Kyle Grant, Alex L. Lee, James J. Choi, Leith R. Dewar, John Yee, Andrew Seely, Sébastien Gilbert, Patrick J. Villeneuve, Sudhir Sundaresan, Susan D. Moffatt‐Bruce, Molly Gingrich, A Fazekas, Richard Malthaner, Deb Lewis, Dalilah Fortin, Mehdi Qiabi, Rahul Nayak, Madelaine Plourde, Daniel Sellers, Laura Donahoe, Marco Lefebvre, L. Lanthier, Colin Schieman, Amal Bessissow, Gavin M. Joynt, Randolph H.L. Wong, Rainbow W. H. Lau, Wai‐Tat Wong, Gordon Choi, Eva Lee, Ka Yan Hui, Beaker Fung, Laura Carmenza Castañeda, Luis Jaime Téllez, Lina Marcela Ortiz-Ramirez, Simona De Santis, G Favaro, Piergiorgio Muriana, Cristina Nakhnoukh, Pierluigi Novellis, Stefano Turi, Paolo Veronesi, Matteo Angelini, Stefano Bongiolatti, Alberto Salvicchi, Lavinia Gatteschi, Rossella Indino, Simone Tombelli, Alice Ravasin, Ottavia Salimbene, Giulio Luca Rosboch, Eleonora Balzani, Domenico Massullo, Silvia Fiorelli, Francesco Londero, William Grossi, Tyng Yan Ng, Woan Shiang See, Mohammed Asghar Nawaz, Elisabeth Martínez Téllez, Josep Belda Sanchís, Georgina Planas Cánovas, Ana Parera Ruiz, Esther Cladellas Gutiérrez, Mauro Guarino, Marta Argilaga Nogues, Anna Rovira Juan, Melixa Medina‐Aedo, Diego Parise Roux, Luis Gajate Martín, Angélica De Pablo Pajares, Angel Manuel Candela Toha, Nicolás Moreno‐Mata, Gema Muñoz Molina, Usue Caballero-Silva, Sara Fra‐Fernández, Susana González Suarez, Montserrat Ribas Ball, Miriam De Nadal Clanchet, Laura Ruiz-Villa, M.M. Martí-Ejarque, Mireia Gili-Bueno, Neus Pons Llobet, Patrícia Cruz, Guillermo Sánchez-Pedrosa, Patricia Duque, Leire Azcárate, Lorena Martín-Albo, Alberto Rodríguez-Fuster, Silvia Bermejo-Martínez, Albert Carramiñana, Fabrizio Minervini, German Corrales, Juan Jose Guerra-Londoño, Reza J. Mehran, Boris Sepesi, Garrett L. Walsh, Daniel S. Cukierman, Bryan E. Marchant, Lynne Harris, Bruce Cusson, Scott Miller, Steven C. Minear, Camila Teixeira, Mario Pimentel, Andrew M. Popoff, Wing Lee Cheung, Kelly Marsack, Sabry Ayad, Jorge Araújo, Tzonghuei H. Chen, Michael Essandoh, Jeremy S. Poppers
Bibliographic record
VenueAmerican Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsWestern UniversityHamilton Health SciencesUniversity of OttawaVancouver General HospitalUniversity of British Columbia HospitalUniversity of ManitobaUniversity of British ColumbiaKingston Health Sciences CentreImpactMcMaster UniversityPopulation Health Research Institute
FundersCanadian Institutes of Health Research
KeywordsMedicinePerioperativeAtrial fibrillationAnesthesiaPlaceboSurgeryRandomized controlled trialInternal medicineCardiology
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.018
Threshold uncertainty score0.095
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 head0.051
GPT teacher head0.339
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol
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
Citations5
Published2023
Admission routes2
Has abstractno