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Record W2991077341 · doi:10.1016/j.ijcard.2019.11.132

Comparative external validation of the PRECISE-DAPT and PARIS risk scores in 4424 acute coronary syndrome patients treated with prasugrel or ticagrelor

2019· article· en· W2991077341 on OpenAlexfundno aff
Matteo Bianco, Fabrizio D’Ascenzo, Sergio Raposeiras‐Roubín, Tim Kinnaird, Mattia Peyracchia, Albert Ariza‐Solé, Enrico Cerrato, Sergio Manzano‐Fernández, Carol Gravinese, Christian Templin, P. Destefanis, Lazar Velicki, Alessia Luciano, Ioanna Xanthopoulou, Mauro Rinaldi, Andrea Rognoni, Ferdinando Varbella, Giacomo Boccuzzi, Pierluigi Omedè, Andrea Montabone, Alessandro Bernardi, Salma Taha, Roberta Rossini, Alessandro Durante, Sebastiano Gili, Giulia Magnani, Michele Autelli, Alberto Grosso, Pedro Flores Blanco, Carla Giustetto, Alberto Garay, Giorgio Quadri, Berenice Caneiro Queija, Ilija Srdanović, Rafael Cobas Paz, M Cespon Fernandez, Isabel Muñoz Pousa, Diego Gallo, Umberto Morbiducci, Alberto Domínguez‐Rodríguez, Ángel López‐Cuenca, Ángel Cequier, Dimitrios Alexopoulos, Andrés Íñiguez, Roberto Pozzi, Emad Abu Assi, Marco Valgimigli

Bibliographic record

VenueInternational Journal of Cardiology · 2019
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsnot available
FundersTerumoMedicureAstraZenecaAbbott Laboratories
KeywordsPrasugrelMedicineTicagrelorAcute coronary syndromeConventional PCIPercutaneous coronary interventionInterquartile rangeInternal medicineAspirinCardiologyClopidogrelCoronary stentStentMyocardial 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.269
Teacher spread0.257 · 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 teacher head, 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

Citations36
Published2019
Admission routes1
Has abstractno

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