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Complete 2-Year Results Confirm Bayesian Analysis of the SURTAVI Trial
Nicolas M. Van Mieghem, Jeffrey J. Popma, G. Michael Deeb, Steven J. Yakubov, Patrick W. Serruys, Stephan Windecker, Lars Søndergaard, Mubashir Mumtaz, Hemal Gada, Stanley Chetcuti, Neal S. Kleiman, Susheel Kodali, Isaac George, Patrick Teefy, Bob Kiaii, Jae K. Oh, A. Pieter Kappetein, Yanping Chang, Andrew S. Mugglin, Michael J. Reardon, Paul Sorajja, Benjamin Sun, Himanshu Agarwal, Thomas Langdon, Peter den Heijer, Mohamed Bentala, Daniel O’Hair, Tanvir Bajwa, T. B. Byrne, Michael Caskey, Basil Paulus, Edward Garrett, Robert Stoler, Robert F. Hebeler, Kamal R. Khabbaz, D. Scott Lim, Mark Bladergroen, Peter Fail, Edgar Feinberg, Michael Rinaldi, Eric Skipper, Atul Chawla, David Hockmuth, Raj Makkar, Wen Cheng, Janah Aji, Frank W. Bowen, Theodore Schreiber, Scott P. Henry, Christian Hengstenberg, Sabine Bleiziffer, J. Kevin Harrison, Chad Hughes, James D. Joye, Vincent A. Gaudiani, Vasilis Babaliaros, Vinod H. Thourani, Harold L. Dauerman, Joseph Schmoker, Kimberly A. Skelding, Alfred S. Casale, Jan Kovac, Tomasz Spyt, Puvi Seshiah, J. Michael Smith, Raymond McKay, Robert Hagberg, Ray Matthews, Vaughn A. Starnes, William W. O’Neill, Gaetano Paone, José Marı́a Hernández Garcı́a, Miguel Such, Juan Carlos Llosa Cortina, Thierry Carrel, Brian Whisenant, John R. Doty, Jon R. Resar, John V. Conte, Vicken Aharonian, Thomas Pfeffer, Andreas Rück, Matthias Corbascio, Daniel Blackman, Pankaj Kaul, Chad Kliger, Derek R. Brinster, Ferdinand Leya, Mamdouh Bakhos, Gurpreet S. Sandhu, Alberto Pochettino, Nicolò Piazza, Benoît de Varennes, Ad van Boven, Piet W. Boonstra, Ron Waksman, Ammar S. Bafi, Anita Asgar, Raymond Cartier, Robert Kipperman, John Brown, Lang Lin, Joshua D. Rovin, David C. Adams, Stanley Katz, Alan Hartman, Hasanian Al-Jilaihawi, Mathew Williams, Juan A. Crestanello, Scott Lilly, Mohammad Ghani, Robert Mark Bodenhamer, Vivek Rajagopal, James Kauten, Mumbashir Mumtaz, Williams Bachinsky, Georg Nickenig, Armin Welz, Peter Skov Olsen, Daniel Watson, Adnan K. Chhatriwalla, Keith B. Allen, Paul Teirstein, Jeffrey Tyner, Paul G. Mahoney, Joseph Newton, William Merhi, John Keiser, Alan C. Yeung, D. Craig Miller, Jurriën M. ten Berg, Robin Heijmen, George Petrossian, N. Bryce Robinson, Stephen Brecker, Marjan Jahangiri, Thomas P. Davis, Sanjay Batra, James Hermiller, David Heimansohn, Sam Radhakrishnan, Stephen E. Fremes, Brijeshwar Maini, Brian Bethea, David F.M. Brown, William H. Ryan, Christian Spies, Jeffrey Lau, Howard C. Herrmann, Joseph E. Bavaria, Eric Horlick, Chris Feindel, Franz‐Josef Neumann, Friedhelm Beyersdorf, Roland Binder, Francesco Maisano, M. Costa, Alan Markowitz, Peter Tadros, George L. Zorn, Eduardo de Marchena, Tomás A. Salerno, Marino Labinz, Marc Ruel, Joon Sup Lee, Thomas G. Gleason, Frederick Ling, Peter A. Knight, Mark Robbins, Stephen K. Ball, John C. Giacomini, Thomas A. Burdon, Robert Applegate, Neal D. Kon, Richard Schwartz, Scott Schubach, John K. Forrest, Abeel A. Mangi
Bibliographic record
VenueJACC: Cardiovascular Interventions · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsLondon Health Sciences Centre
FundersAbbott VascularSymetisBoston Scientific CorporationEdwards LifesciencesMedtronicAbbott Laboratories
KeywordsBayesian probabilityStatisticsEconometricsMathematics
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 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 categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.970
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) | 0.001 | 0.040 |
| Bibliometrics | 0.000 | 0.001 |
| 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 head0.063
GPT teacher head0.351
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 teacher head, not a consensus.
Study designMeta-analysis
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
Citations24
Published2020
Admission routes1
Has abstractno