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Record W2970357772 · doi:10.1016/s0140-6736(19)31997-x

Percutaneous coronary intervention versus coronary artery bypass grafting in patients with three-vessel or left main coronary artery disease: 10-year follow-up of the multicentre randomised controlled SYNTAX trial

2019· article· en· W2970357772 on OpenAlexaff
Daniel J.F.M. Thuijs, A. Pieter Kappetein, Patrick W. Serruys, Friedrich‐Wilhelm Mohr, Marie‐Claude Morice, Michael J. Mack, David R. Holmes, Nick Curzen, Piroze Davierwala, Thilo Noack, Milan Milojevic, Keith D. Dawkins, Bruno R. da Costa, Peter Jüni, Stuart J. Head, Filip Casselman, Bernard De Bruyne, Evald Høj Christiansen, Juan M. Ruiz-Nodar, Paul Vermeersch, Werner Schultz, Manel Sabaté, Giulio Guagliumi, Herko Grubitzsch, Karl Stangl, Olivier Darremont, Mohamed Bentala, Peter den Heijer, István Préda, Robert Stoler, Tamás Szerafin, John K. Buckner, Myles S. Guber, Niels Verberkmoes, Ferdi Akca, Ted Feldman, Friedhelm Beyersdorf, Benny Drieghe, Keith G. Oldroyd, Geoff Berg, Anders Jeppsson, Kimberly Barber, Kevin Wolschleger, John Heiser, Pim van der Harst, Massimo A. Mariani, Hermann Reichenspurner, Christoffer Stark, Mika Laine, Paul C. Ho, John C. Chen, Richard Zelman, Phillip A. Horwitz, Andrzej Bochenek, Agata Krauze, Christina Grothusen, Dariusz Dudek, George P. Heyrich, Philippe Kolh, Victor Legrand, Pedro Coelho, Stephan Ensminger, Boris Nasseri, Richard Ingemansson, Göran Olivecrona, Javier Escaned, Reddy Guera, Sérgio Berti, Alaide Chieffo, M. Nicholas Burke, Michael Mooney, Alvise Spolaor, Christian Hagl, Michael Näbauer, Maarten J. Suttorp, Ronald A. Stine, Thomas McGarry, Scott Lucas, Knut Endresen, Andrew Taussig, Kevin Accola, Umberto Canosi, Iván Horváth, Louis Cannon, John D. Talbott, C W Akins, Robert S. Kramer, Michael Aschermann, William A. Killinger, Inga Narbute, Francesco Burzotta, Ad J.J.C. Bogers, Felix Zijlstra, Hélène Eltchaninoff, Jacques Berland, Giulio Stefanini, Ignacio Cruz‐González, Uta C. Hoppe, Stefan Kiesz, Bartłomiej Góra, Anders Ahlsson, Matthias Corbascio, Thomas V. Bilfinger, Didier Carrié, Didier Tchétché, Karl-Eugen Hauptman, Elisabeth Ståhle, Stefan James, Sigrid Sandner, Günther Laufer, Iréne Lang, Adam Witkowski, Vinod H. Thourani, Harry Suryapranata, Simon Redwood, Charles Knight, Philip MacCarthy, Adam de Belder, Adrian Banning, Anthony Gershlick

Bibliographic record

VenueThe Lancet · 2019
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
FundersErasmus+Biosensors International GroupDeutsche Stiftung für HerzforschungBoston Scientific Corporation
KeywordsMedicineConventional PCIPercutaneous coronary interventionMyocardial infarctionCoronary artery diseaseInternal medicineCardiologyClinical endpointArteryCoronary artery bypass surgeryRandomized controlled trialSurgery

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.017
GPT teacher head0.256
Teacher spread0.239 · 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 designRandomized trial
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

Citations638
Published2019
Admission routes1
Has abstractno

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