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Record W4324334423 · doi:10.1016/j.jjcc.2023.03.004

Antithrombotic therapies in Canadian atrial fibrillation patients with concomitant coronary artery disease: Insights from the CONNECT AF + PCI-II program

2023· article· en· W4324334423 on OpenAlexafffundabout
James Kean Chow, Akshay Bagai, Mary Tan, Bryan Har, Amelia Yip, Mario Paniagua, Basem Elbarouni, Kevin R. Bainey, Jean‐Michel Paradis, Robert Maranda, Warren J. Cantor, Mark J. Eisenberg, Jean‐Pierre Déry, Mina Madan, Tomas Cieza, Alexis Matteau, Sherryn Roth, Shahar Lavi, Anthony Glanz, Dongsheng Gao, Ravi Tahiliani, Robert C. Welsh, Hahn Hoe Kim, Simon D. Robinson, Benoit Daneault, Aun‐Yeong Chong, Michel R. Le May, Vineeta Ahooja, Jean‐Claude Grégoire, Pierre-Louis Nadeau, Zachary Laksman, Brett Heilbron, Derek Yung, Kunal Minhas, Ronald Bourgeois, Christopher B. Overgaard, Hamid Reza Bonakdar, Giridhar Logsetty, Andrea Lavoie, Robert De Larochellière, Samer Mansour, Caroline Spindler, Andrew T. Yan, Shaun G. Goodman

Bibliographic record

VenueJournal of Cardiology · 2023
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMoncton HospitalDalhousie UniversityUniversity of OttawaCentre Hospitalier Universitaire de SherbrookeRoyal Jubilee HospitalUniversity of British ColumbiaLakeridge HealthSt Joseph's Health CentreThe Scarborough HospitalMcGill UniversitySouthlake Regional Health CenterCentre Hospitalier de l’Université de MontréalUniversité LavalUniversity of AlbertaMontreal Heart InstituteCape Breton Regional HospitalUniversity of ManitobaInstitut universitaire de cardiologie et de pneumologie de QuébecSunnybrook Health Science CentreJewish General HospitalSt. Michael's HospitalSt. Boniface HospitalWindsor Regional HospitalUniversity of CalgaryHealth Sciences CentreLibin Cardiovascular Institute of AlbertaCentre hospitalier universitaire de QuébecCégep de Sorel-TracyCanadian Heart Research CentreSt. Paul's HospitalWestern UniversityRegina General HospitalUniversity of Toronto
FundersPfizer CanadaBayer CanadaEsperion TherapeuticsHLS TherapeuticsServierDuke Clinical Research InstituteNovo NordiskDaiichi-SankyoRegeneron PharmaceuticalsBoston Scientific CorporationYork UniversityBristol-Myers SquibbEli Lilly and CompanyAstraZenecaCSL BehringUniversity of TorontoCleveland ClinicPfizerHeart and Stroke Foundation of CanadaAmerican RegentSanofiAmgen
KeywordsMedicineAntithromboticInternal medicineConventional PCICardiologyAtrial fibrillationApixabanAcute coronary syndromeClopidogrelPercutaneous coronary interventionAspirinInterquartile rangeTIMICoronary artery diseaseRivaroxabanWarfarinMyocardial infarction

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 score0.947
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.030
GPT teacher head0.290
Teacher spread0.259 · 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

Citations4
Published2023
Admission routes3
Has abstractno

Explore more

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