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Comparison of a Complete Percutaneous Versus Surgical Approach to Aortic Valve Replacement and Revascularization in Patients at Intermediate Surgical Risk

2019· article· en· W2979590634 on OpenAlexaboutno aff
Lars Søndergaard, Jeffrey J. Popma, Michael J. Reardon, Nicolas M. Van Mieghem, G. Michael Deeb, Susheel Kodali, Isaac George, Mathew Williams, Steven J. Yakubov, A. Pieter Kappetein, Patrick W. Serruys, Eberhard Grube, Molly Schiltgen, Yanping Chang, Thomas Engstrøm, Paul Sorajja, Benjamin Sun, Himanshu Agarwal, Thomas Langdon, Peter den Heijer, Mohamed Bentala, Daniel O’Hair, Tanvir Bajwa, Timothy 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 O’Neill, Gaetano Paone, José Marı́a Hernández Garcı́a, Miguel Such, Juan Carlos Llosa Cortina, Stephan Windecker, 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, Patrick Teefy, Bob Kiaii, 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, Samin K. Sharma, David C. Adams, Stanley Katz, Alan Hartman, Hasanian Al-Jilaihawi, 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 Mahoney, Joseph Newton, William Merhi, John Keiser, Alan C. Yeung, Craig Miller, Jurriën M. ten Berg, Robin H. Heijmen, George Petrossian, N. Bryce Robinson, Stephen Brecker, Marjan Jahangiri, Thomas Davis, Sanjay Batra, James Hermiller, David Heimansohn, Sam Radhakrishnan, Stephen E. Fremes, Brijeshwar Maini, Brian Bethea, David F.M. Brown, William H. Ryan, Neal S. Kleiman, Christian Spies, Jeffrey Lau, Howard C. Herrmann, Joseph E. Bavaria, Eric Horlick, Chris Feindel, Franz‐Josef Neumann, Friedhelm Beyersdorf, Ronald K. Binder, Francesco Maisano, M. Costa, Alan Markowitz, Peter Tadros, George L. Zorn, Eduardo de Marchena, Tomás A. Salerno, Stanley Chetcuti, Marino Labinz, Marc Ruel, Joon Sup Lee, Thomas G. Gleason, Frederick Ling, Peter A. Knight, Mark Robbins, Stephen J. Ball, John C. Giacomini, Thomas A. Burdon, Robert Applegate, Neal D. Kon, Richard Schwartz, Scott Schubach, John K. Forrest, Abeel A. Mangi

Bibliographic record

VenueCirculation · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePercutaneousRevascularizationSurgeryAortic valve replacementAortic valveCardiologyInternal medicineStenosisMyocardial infarction

Abstract

fetched live from OpenAlex

Background: For patients with severe aortic stenosis and coronary artery disease, the completely percutaneous approach to aortic valve replacement and revascularization has not been compared with the standard surgical approach. Methods: The prospective SURTAVI trial (Safety and Efficiency Study of the Medtronic CoreValve System in the Treatment of Severe, Symptomatic Aortic Stenosis in Intermediate Risk Subjects Who Need Aortic Valve Replacement) enrolled intermediate-risk patients with severe aortic stenosis from 87 centers in the United States, Canada, and Europe between June 2012 and June 2016. Complex coronary artery disease with SYNTAX score (Synergy Between PCI with Taxus and Cardiac Surgery Trial) >22 was an exclusion criterion. Patients were stratified according to the need for revascularization and then randomly assigned to treatment with transcatheter aortic valve replacement (TAVR) or surgical aortic valve replacement (SAVR). Patients assigned to revascularization in the TAVR group underwent percutaneous coronary intervention, whereas those in the SAVR group had coronary artery bypass grafting. The primary end point was the rate of all-cause mortality or disabling stroke at 2 years. Results: Of 1660 subjects with attempted aortic valve implants, 332 (20%) were assigned to revascularization. They had a higher Society of Thoracic Surgeons risk score for mortality (4.8±1.7% versus 4.4±1.5%; P <0.01) and were more likely to be male (65.1% versus 54.2%; P <0.01) than the 1328 patients not assigned to revascularization. After randomization to treatment, there were 169 patients undergoing TAVR and percutaneous coronary intervention, 163 patients undergoing SAVR and coronary artery bypass grafting, 695 patients undergoing TAVR, and 633 patients undergoing SAVR. No significant difference in the rate of the primary end point was found between TAVR and percutaneous coronary intervention and SAVR and coronary artery bypass grafting (16.0%; 95% CI, 11.1–22.9 versus 14.0%; 95% CI, 9.2–21.1; P =0.62), or between TAVR and SAVR (11.9%; 95% CI, 9.5–14.7 versus 12.3%; 95% CI, 9.8–15.4; P =0.76). Conclusions: For patients at intermediate surgical risk with severe aortic stenosis and noncomplex coronary artery disease (SYNTAX score ≤22), a complete percutaneous approach of TAVR and percutaneous coronary intervention is a reasonable alternative to SAVR and coronary artery bypass grafting. Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT01586910.

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 machine prediction

Teacher imitation

Not 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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.320
Teacher spread0.298 · 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 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".

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Citations90
Published2019
Admission routes1
Has abstractyes

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