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Myocardial Injury after Noncardiac Surgery
Fernando Botto, Pablo Alonso‐Coello, Matthew T.V. Chan, Juan Carlos Villar, Denis Xavier, Sadeesh Srinathan, Gordon Guyatt, Patrícia Cruz, Michelle M. Graham, C. Y. Wang, Otávio Berwanger, Rupert M Pearse, Bruce Biccard, Valsa Abraham, Germán Málaga, Graham S. Hillis, Reitze Rodseth, Carísi Anne Polanczyk, Wojciech Szczeklik, Daniel I. Sessler, Tej Sheth, Gareth L. Ackland, M. Leuwer, Amit X. Garg, Yannick LeManach, Shirley Pettit, Diane Heels‐Ansdell, Giovanna Lurati Buse, Michael Walsh, Robert J. Sapsford, Holger J. Schünemann, Andrea Kurz, Sabu Thomas, Marko Mrkobrada, Lehana Thabane, Hertzel C. Gerstein, Pilar Paniagua, Peter Nägele, Parminder Raina, Salim Yusuf, P.J. Devereaux, Matthew J McQueen, Mohit Bhandari, Jackie Bosch, Norman Buckley, Clara K Chow, Richard Halliwell, Stephen Li, Vincent Lee, John Mooney, Mariana V Furtado, Érica Aranha Suzumura, Eliana Vieira Santucci, Kátia Ramos Moreira Leite, Jose Amalth do Espirirto Santo, Cesar A P Jardim, Alexandre Biasi Cavalcanti, Hélio Penna Guimarães, Michael J. Jacka, Finlay A. McAlister, Sean McMurtry, Derek R. Townsend, Neesh Pannu, Sean M. Bagshaw, Amal Bessissow, Emmanuelle Duceppe, John W. Eikelboom, Javier Gáname, James Hankinson, Stephen Hill, Sanjit S. Jolly, André Lamy, Elizabeth Ling, Patrick Magloire, Guillaume Paré, Deven Reddy, David Szalay, Jacques G. Tittley, Jeff Weitz, Richard Whitlock, Saeed Darvish-Kazim, Justin DeBeer, Peter A. Kavsak, Clive Kearon, Richard Mizera, Martin O’Donnell, Matthew McQueen, Jehonathan H. Pinthus, Sebastián Ribas, Marko Šimunović, Vikas Tandon, Tomas Vanhelder, Mitchell Winemaker, Sarah McDonald, Paul M. O'Bryne, Ameen Patel, James Paul, Zubin Punthakee, Karen Raymer, Omid Salehian, Fred Spencer, Stephen D. Walter, Andrew Worster, Anthony Adili, Catherine M. Clase, Mark Crowther, James Douketis, Azim S. Gangji, Paul Jackson, Wendy Lim, Peter Lovrics, S Mazzadi, William Orovan, Jill Rudkowski, Mark Soth, Maria Tiboni, Rey Acedillo, Ainslie Hildebrand, Ngan N. Lam, Danielle MacNeil, Pavel S Roshanov, Clare D. Ramsey, Philip St. John, Laurel Thorlacius, Faisal Sharaf Siddiqui, Hilary P. Grocott, Andrew McKay, Trevor W R Lee, Ryan Amadeo, Duane J. Funk, Heather McDonald, James Zacharias, Olga Cortés, Maria Stella Chaparro, Skarlett Vásquez, Alvaro Castañeda, Silvia Moreira Ayub‐Ferreira, Pierre Coriat, Denis Monneret, Jean Pierre Goarin, Catherine A. Royer, G Daas, Gordon Choi, Tony Gin, Lydia C.W. Lit, Alben Sigamani, Atiya Faruqui, Radhika Dhanpal, Smitha Almeida, J Cherian, Sultana Furruqh, Lalita Afzal, Preetha George, Shaveta Mala, Holger Schünemann, Paola Muti, Enrico Vizza, G S Y Ong, Marzida Mansor, Alvin Tan, Ina Ismiarti Shariffuddin, Vishnu Vasanthan, N. H. M. Hashim, A Wahab Undok, Ushananthini Ki, Hou Yee Lai, Wan Azman Ahmad, Azad Hassan Abdul Razack, Vanessa Valderrama-Victoria, Javier D Loza-Herrera, Maria Lazo, Aida Rotta-Rotta, Barbara Sokolowska, Jacek Musiał, Jacek Górka, Paweł Iwaszczuk, Mateusz Kózka, Maciej Chwała, Marcin Raczek, Tomasz Mrowiecki, Bogusz Kaczmarek, Hussein Cassimjee, Dean Gopalan, Theroshnie Kisten, Aine Mugabi, Prebashini Naidoo, Rubeshan Naidoo, David Lee Skinner, Alex Torborg, Gerard Urrútia, M. Luz Maestre, Miquel Santaló, Raúl González, A.E González Font, Cecilia Martínez, Xavier Peláez, Marta de Antonio, Jose Marcial Villamor, Jesús Álvarez‐García, Maria José Ferré, Ekaterine Popova, Ignacio Garutti, Carmen Fernández, María Martín Palencia, Susana Valencia Díaz, Teresa Del Castillo, A. Quiroga Varela, Angeles de Miguel, Manuel Múñoz, Patricia Piñeiro, Gabriel Cusati, M Barrio, Maria José Membrillo, David Orozco, Fidel Reyes, Robert J Sapsford, Julian H. Barth, J. Hebbring Scott, Alistair S. Hall, Simon Howell, Michaela Lobley, Janet Woods, Susannah Howard, Joanne Fletcher, Nikki Dewhirst, Colin C. Williams, A. Rushton, Ingeborg Welters, Rupert Pearse, Gareth Ackland, Ahsun Khan, Edyta Niebrzegowska, Sally Benton, Andrew Wragg, Andrew Archbold, Amanda Smith, Eleanor McAlees, Cheryl Ramballi, Neil MacDonald, Marta Januszewska, Robert Stephens, Anna Reyes, Laura Gallego Paredes, Pervez Sultan, David Cain, John Whittle, Ana Gutierrez del Arroyo, Zhuo Sun, Patrick Sean Finnegan, Cameron Egan, Hooman Honar, Aram Shahinyan, Krit Panjasawatwong, Alexander Y. Fu, Sihe Wang, Edmunds Reineks, Jane Blood, Megan Kalin, David W. Gibson, Troy S. Wildes
Bibliographic record
VenueAnesthesiology · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsUniversity of AlbertaWestern UniversityUniversity of ManitobaMcMaster UniversityPopulation Health Research Institute
FundersNational Center for Research ResourcesNational Institute of General Medical SciencesNational Cancer InstituteMedical Research CouncilMinistério da SaúdeChinese University of Hong KongNational Health and Medical Research CouncilHamilton Health SciencesHeart and Stroke Foundation of CanadaManitoba Health Research CouncilAcademy of Medical SciencesNational Institute for Health and Care ResearchAmerican Heart AssociationInyuvesi Yakwazulu-NataliCanadian Institutes of Health ResearchUniwersytet Jagielloński Collegium MedicumMcMaster UniversityDepartment of Surgery, University of ManitobaUniversidad Autónoma de BucaramangaStrykerInstituto de Salud Carlos IIIUniversidad Industrial de SantanderUniversiti MalayaManitoba Medical Service FoundationFundació la Marató de TV3
KeywordsMedicinePerioperativeTroponinHazard ratioInternal medicineProspective cohort studyTroponin TCardiologyMyocardial infarctionPopulationSurgeryConfidence interval
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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 designObservational
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
Citations983
Published2014
Admission routes2
Has abstractyes