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Record W2909383814 · doi:10.1016/j.jacc.2018.10.051

Mid-Term Valve-Related Outcomes After Transcatheter Tricuspid Valve-in-Valve or Valve-in-Ring Replacement

2019· article· en· W2909383814 on OpenAlexaff
Doff B. McElhinney, Jamil Aboulhosn, Danny Dvir, Brian Whisenant, Yulin Zhang, Andreas Eicken, Flavio Ribichini, Aphrodite Tzifa, Michael Hainstock, Mary Hunt Martin, Ran Kornowski, Stephan Schubert, Azeem Latib, John Thomson, Alejandro Torres, Jeffery Meadows, Jeffrey W. Delaney, Mayra Guerrero, Stefano Salizzoni, Howaida El‐Said, Ariel Finkelstein, Isaac George, Marc Gewillig, María Álvarez-Fuente, Luke Lamers, Asim N. Cheema, Jacqueline Kreutzer, Tanja K. Rudolph, David Hildick‐Smith, Allison K. Cabalka, Younès Boudjemline, Guiti Milani, Martin L. Bocks, Jeremy D. Asnes, Vaikom S. Mahadevan, Dominique Himbert, Bryan H. Goldstein, Thomas E. Fagan, John P. Cheatham, Tarek Momenah, Dennis W. Kim, Antonio Colombo, Marco Ancona, Gianfranco Butera, Thomas J. Forbes, Eric Horlick, Carlos A. C. Pedra, Jacopo Alfonsi, Thomas K. Jones, Susan Foerster, Shabana Shahanavaz, Ivory Crittendon, Dietmar Schranz, Athar M. Qureshi, Martyn Thomas, Damien Kenny, Mark H. Hoyer, Sabine Bleiziffer, Joëlle Kefer, Luca Testa, Matthew J. Gillespie, Danyal Khan, Robert H. Pass, Mohamed Abdel‐Wahab, Harindra C. Wijeysundera, Filip Casselman, Tabitha G. Moe, Nicholas Hayes, Oluseun Alli, Keshav Nayak, Priti M. Patel, Nicolò Piazza, Cameron Seaman, Stephan Windecker, James Kuo, Frank F. Ing, Raj Makkar, Martin Greif, Alfredo G. Cerillio, Didier Champagnac, Fabian Nietlispach, Francesco Maisano, Hendrik Treede, Moritz Seiffert, Rui Campante Teles, Gudrun Feuchtner, Nikolaos Bonaros, Giuseppe Bruschi, Gabriele Pesarini

Bibliographic record

VenueJournal of the American College of Cardiology · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineEndocarditisSurgeryValve replacementThrombusTricuspid valveThrombosisCohortRegurgitation (circulation)Cumulative incidenceIncidence (geometry)StenosisCardiologyInternal medicine

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)0.004
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.010
GPT teacher head0.307
Teacher spread0.297 · 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

Citations120
Published2019
Admission routes1
Has abstractno

Explore more

Same venueJournal of the American College of CardiologySame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207