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Global Consensus Recommendations on Improving the Safety of Chronic Total Occlusion Interventions
Eugene B. Wu, Arun Kalyanasundaram, Emmanouil S Brilakis, Kambis Mashayekhi, Etsuo Tsuchikane, Nidal Abi Rafeh, Pierfrancesco Agostoni, Khaldoon Alaswad, Mario Araya, Alexandre Avran, Mohamed Ayoub, Lorenzo Azzalini, А. М. Бабунашвили, Baktash Bayani, Michael Behnes, Ravinay Bhindi, Nicolas Boudou, Marouane Boukhris, Nenad Božinović, Leszek Bryniarski, Alexander Bufe, Christopher E. Buller, M. Nicholas Burke, Heinz Joachim Buettner, Pedro Cardoso, Mauro Carlino, Chi Kin Chan, Jiyan Chen, Evald Høj Christiansen, Antonio Colombo, Kevin Croce, Félix Damas de los Santos, Tony De Martini, Joseph Dens, Carlo Di Mario, Darshan Doshi, Kefei Dou, Mohaned Egred, Basem Elbarouni, Ahmed ElGuindy, Javier Escaned, Sergey Furkalo, Andrea Gagnor, Alfredo R. Galassi, Roberto Garbo, Gabriele Gasparini, Junbo Ge, Lei Ge, Pravin K. Goel, Ömer Göktekín, Nieves Gonzalo, Şevket Görgülü, Luca Grancini, Allison B. Hall, Colm G. Hanratty, Stefan Harb, S. Harding, Raja Hatem, Farrel Hellig, Josè P.S. Henriques, David Hildick‐Smith, Jonathan Hill, Angela Hoye, Wissam Jaber, Farouc A. Jaffer, Yangsoo Jang, Risto Jussila, Artis Kalniņš, Sanjog Kalra, David E. Kandzari, Hsien‐Li Kao, Dimitri Karmpaliotis, Hussien Heshmat Kassem, Kathleen E. Kearney, Jimmy Kerrigan, Jaikirshan Khatri, Dmitri Khelimskii, Ajay J. Kirtane, Paul Knaapen, Ran Kornowski, Oleg Krestyaninov, Vinay Kumar, Prathap Kumar, Pablo Lamelas, Seung‐Whan Lee, Thierry Lefèvre, Gregor Leibundgut, Raymond Leung, Sum-Kin Leung, Yu Li, Yue Li, Soo-Teik Lim, S. Lo, William Lombardi, Anbukarasi Maran, Margaret McEntegart, Jeffrey W. Moses, Muhammad Munawar, Wataru Nagamatsu, Andrés Navarro, Hung Manh Ngo, William Nicholson, Anja Øksnes, Göran Olivecrona, Lucio Padilla, Mitul Patel, Ashish Pershad, Marin Postu, Stylianos A. Pyxaras, Jie Qian, Alexandre Schaan de Quadros, Franklin Leonardo Hanna Quesada, Truls Råmunddal, Vithala Suryaprakasa Rao, Sudhir Rathore, Nicolaus Reifart, Robert F. Riley, Stéphane Rinfret, Meruzhan Saghatelyan, Ricardo Santiago, Ashok Seth, Georgios Sianos, Elliot J. Smith, Anthony Spaedy, James Spratt, Gregg W. Stone, Julian Strange, Khalid Tammam, Craig A. Thompson, Aurel Toma, Jennifer A. Tremmel, Imre Ungi, Giuseppe Vadalà, Minh Vo, Vũ Hoàng Vũ, Simon Walsh, Daniel Weilenmann, Gerald S. Werner, Jarosław Wójcik, Jason Wollmuth, Chiung-Jen Wu, Bo Xu, Masahisa Yamane, Luiz F. Ybarra, Robert W. Yeh, Chris Zambakides, Qi Zhang
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
Bibliographic record
VenueHeart Lung and Circulation · 2024
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsRoyal Columbian HospitalMcGill University Health CentreRoyal Alexandra HospitalLondon Health Sciences CentreMcMaster UniversityMemorial University of NewfoundlandSt. Boniface HospitalToronto General HospitalWestern UniversityHôpital du Sacré-Cœur de MontréalSt. Michael's Hospital
FundersAbbott VascularSzegedi TudományegyetemHaukeland UniversitetssjukehusMedizinische Universität GrazHumanitas UniversitySchool of Medicine, University of California, San DiegoUniversity of Cape TownMedizinische Universität WienSahlgrenska UniversitetssjukhusetUniversité de MontréalUniversità degli Studi di PalermoLunds UniversitetFudan UniversityDaiichi-SankyoUniversity of California, San DiegoMemorial University of NewfoundlandUniversity of New South WalesUniversiteit van AmsterdamNewcastle UniversityUniversidad Complutense de MadridSanofiAbiomedUniversitas IndonesiaAmsterdam University Medical CentersAstraZenecaAmarin CorporationMcGill University Health CentreRegeneron PharmaceuticalsOsprey MedicalIrving Medical Center, Columbia UniversityUniversität WienEmory UniversityBoston Scientific CorporationUniversity of HullKarl-Franzens-Universität GrazMcGill UniversityAmerican Heart AssociationUniversity of WashingtonCardinal HealthAmgenEdwards LifesciencesFakultas Kedokteran, Universitas IndonesiaReCor MedicalMassachusetts General HospitalUniversidad San Francisco de QuitoUniversity of South CarolinaCardiovascular Systems
KeywordsMedicinePsychological interventionIntensive care medicineNursing
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.
Full frame distilled prediction
Teacher imitationNot 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score0.173
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 head0.018
GPT teacher head0.316
Teacher spread0.297 · 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 itQuick stats
Citations14
Published2024
Admission routes2
Has abstractno