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Record W2951890415 · doi:10.1053/j.semtcvs.2019.05.033

Aortic Valve Surgery in Nonelderly Patients: Insights Gained From AVIATOR

2019· review· en· W2951890415 on OpenAlexaff
Emmanuel Lansac, Pouya Youssefi, Frederiek de Heer, Joseph E. Bavaria, Laurent de Kerchove, Ismaı̈l El-Hamamsy, Gébrine Elkhoury, Maurice Enriquez‐Sarano, Laurent de Guillaume Jondeau, Jolanda Kluin, Philippe Pîbarot, Hans‐Joachim Schäfers, Jean‐Louis Vanoverschelde, Johanna J.M. Takkenberg, Christian Dinges, Johannes Steindl, Rosina Ziller, Taoufik Benkacem, C Coulon, Fadoua Kaddouri, Christophe de Meester, Agnès Pasquet, Jan Nijs, Veerle Van Mossevelde, Bart Loeys, Bart Meuris, Evi Schepmans, Klaartje Van den Bossche, Peter Verbrugghe, Wenke Goossens, Herbert Gutermann, Matteo Pettinari, Marien Lenoir, Pierre‐Emmanuel Noly, Michaël Tousch, Pallav Shah, Munir Boodhwani, Igor Rudež, Davor Barić, Daniel Unić, Josip Varvodić, Savica Gjorgijevska, Jan Vojáček, Pavel Žáček, Mikita Karalko, Jaroslav Hlubocký, Róbert Novotný, Andrey Slautin, Said Soliman, Eric Arnaud-Crozat, Aude Boignard, Georges Fayad, Olivier Bouchot, Bernard Albat, Alain Leguerrier, Fabien Doguet, Jean‐François Fuzellier, Y Glock, Guy Fernandez, Didier Chatel, David Messika–Zeitoun, Jérôme Jouan, Isabelle Di Centa, Jean‐François Obadia, Pascal Leprince, Rémi Hoüel, Éric Bergoend, Stéphane Lopez, Alain Berrébi, Florence Tubach, Jean‐Luc Monin, Sarah Pousset, Leila Mankoubi, Milean Noghin, Christelle Diakov, Daniel Czytrom, Michael A. Borger, Diana Aicher, Svenja Rauch, Frank Theisohn, Paolo Ferrero, Șerban Stoica, Maciej Matuszewski, Patrick Yiu, Mohamad Bashir, Fabrizio Ceresa, Francesco Patanè, Ruggero De Paulis, Ilaria Chirichilli, Mauro Masat, Carlo Antona, Monica Contino, Andrea Mangini, Claudia Romagnoni, Francesco Grigioni, Rubina Rosa, Yutaka Okita, Takeshi Miyairi, Takashi Kunihara, David R. Koolbergen, Jos A. Bekkers, Robert J.M. Klautz, Thomas van Brakel, Bardia Arabkhani, Gianclaudio Mecozzi, Ryan E. Accord, Marek Jasiński, V. V. Aminov, M. A. Svetkin, Adrián Kolesár, František Sabol, Tomáš Toporcer, Ignacio Bibiloni, Gregorio Rábago, Virginia Álvarez-Asiáin, Amaia Melero, Rafael Sádaba, José I. Aramendi, Alejandro Crespo, Carlos Porras, Arturo Evangelista Masip, Rita K. Milewski, Patrick Moeller, Isaac Wenger, Christine R. Leon, J. M. Marnette, Vincent Doisy, Fabrice Wautot, Thierry Bourguignon, Duke E. Cameron, Edward Chen

Bibliographic record

VenueSeminars in Thoracic and Cardiovascular Surgery · 2019
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineLife expectancyAortic valveAortic valve replacementQuality of life (healthcare)SurgeryPopulationInternal medicineCardiologyStenosis

Abstract

fetched live from OpenAlex
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 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)0.001
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.033
GPT teacher head0.336
Teacher spread0.303 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations18
Published2019
Admission routes1
Has abstractno

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