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Record W2918730146 · doi:10.1016/j.jacc.2018.12.039

Relationships of Overt and Silent Brain Lesions With Cognitive Function in Patients With Atrial Fibrillation

2019· article· en· W2918730146 on OpenAlexaffabout
David Conen, Nicolas Rodondi, Andreas Müller, Jürg H. Beer, Peter Ammann, Giorgio Moschovitis, Angelo Auricchio, Daniel Hayoz, Richard Kobza, Dipen Shah, Jan Novák, Jürg Schläpfer, Marcello Di Valentino, Stefanie Aeschbacher, Steffen Blum, Pascal Meyre, Christian Sticherling, Leo H. Bonati, Georg Ehret, Elisavet Moutzouri, Urs Fischer, Andreas U. Monsch, Christoph Stippich, Jens Wuerfel, Tim Sinnecker, Michael Coslovsky, Matthias Schwenkglenks, Michael Kühne, Stefan Osswald, Sebastian Berger, Raffaele Bernasconi, L. Fröhlich, Tobias Göldi, Rebecca Gugganig, Thomas Kofler, Philipp Krisai, Michel Mongiat, Christiane Pudenz, Aleksandra Schweizer, Anne Springer, Samuel Stempfel, Thomas D. Szucs, Jan van der Stouwe, Gian Voellmin, Leon Zwimpfer, Drahomir Aujesky, Juerg Fuhrer, Laurent Roten, Simon Jung, Heinrich P. Mattle, Luise Adam, Carole E. Aubert, Martin Feller, Claudio Schneider, Axel Loewe, Tanja Flückiger, Cindy Groen, Nathalie Schwab, Christopher Beynon, Roger Dillier, Franz R. Eberli, Simone Fontana, C Franzini, Isabel Juchli, Claudia Liedtke, Jacqueline Nadler, Thayze Obst, Xiaoye Schneider, Katrin Studerus, Dominik Weishaupt, Silke Küest, Karin Scheuch, Denise Hischier, Nicole R. Bonetti, Corina Bello, Henriette Isberg, Alexandra Grau, Jonas Villinger, Mary-Monica Papaux, Philipp Baumgartner, Mark G. Filipovic, Marcel Frick, Adriana Anesini, Cristina Camporini, Giulio Conte, Maria Luce Caputo, François Regoli, Tiziano Moccetti, Roman Brenner, David Altmann, Manuela Forrer, Michaela Gemperle, Mathieu Firmann, Sandrine Foucras, Benjamin Berte, Andrea Kaeppeli, Brigitta Mehmann, Markus Pfeiffer, Ian Russi, Kai Schmidt, Vanessa Weberndoerfer, Mabelle Young, Melanie Zbinden, Luisa Vicari, Jane Frangi, Tatiana Terrot, Hervé Gallet, Élise Guillermet, François Lazeyras, Karl‐Olof Lövblad, Patrick Perret, Cheryl Terés, Nathalie Lauriers, Marie Méan, Sandrine Salzmann, Nisha Arenja, Andrea Grêt, Sandra Vitelli, Augusto Gallino, Renate Schoenenberger-Berzins, Fabienne Witassek, Ernst‐Wilhelm Radue, Pascal Benkert, Thomas Fabbro, Patrick Simon, Ramun Schmid

Bibliographic record

VenueJournal of the American College of Cardiology · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentAtrial fibrillationCardiologyInternal medicineStroke (engine)Magnetic resonance imagingHyperintensityWhite matterLesionCognitionRadiologyCognitive impairmentSurgeryPsychiatryDisease

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.268
Teacher spread0.247 · 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".

Quick stats

Citations226
Published2019
Admission routes2
Has abstractno

Explore more

Same venueJournal of the American College of CardiologySame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207