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Record W2915284549 · doi:10.1016/j.jacc.2018.11.055

Interval From Initiation of Prasugrel to Coronary Angiography in Patients With Non–ST-Segment Elevation Myocardial Infarction

2019· article· en· W2915284549 on OpenAlexaff
Johanne Silvain, Tomasz Rakowski, Benoît Lattuca, Zhenyu Liu, Leonardo Bolognese, Patrick Goldstein, Christian W. Hamm, Jean‐François Tanguay, Jur ten Berg, Petr Widimský, Debra L. Miller, Jean-Jacques Portal, Jean‐Philippe Collet, Éric Vicaut, Gilles Montalescot, Dariusz Dudek

Bibliographic record

VenueJournal of the American College of Cardiology · 2019
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsMontreal Heart Institute
FundersInstitut de Cardiométabolisme et NutritionFédération Française de CardiologieServierInstitut National de la Santé et de la Recherche MédicaleDaiichi Sankyo EuropeSanofiGlaxoSmithKlineAbbott VascularSociété Française de CardiologieDaiichi-SankyoPfizerAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicinePrasugrelCardiologyInternal medicineMyocardial infarctionTIMIPopulationStroke (engine)Percutaneous coronary interventionRevascularization

Abstract

fetched live from OpenAlex

BACKGROUND: In the ACCOAST (A Comparison of Prasugrel at PCI or Time of Diagnosis of Non-ST Elevation Myocardial Infarction) trial, the prasugrel pre-treatment strategy versus placebo was associated with excess bleeding complications and no improved ischemic outcome in non-ST-segment elevation myocardial infarction (MI). Whether patients with the longest pre-treatment duration had an ischemic benefit is unknown. OBJECTIVES: This pre-specified analysis of the ACCOAST trial aimed to assess the effect of pre-treatment duration with prasugrel (time from randomization to angiography) on outcomes. METHODS: Within the 4,033 patients randomized in the ACCOAST trial, pre-treatment duration was available in 4,001 patients (99.2%). The population of the trial was divided into quartiles of pre-treatment duration (0.1 to 2.5 h, 2.5 to 3.9 h, 3.9 to 13.6 h, and >13.6 h) with an evaluation of the primary efficacy endpoint of cardiovascular death, MI, stroke, urgent revascularization or glycoprotein IIb/IIIa inhibitor bailout use. Secondary efficacy outcomes including cardiovascular death, MI, or stroke; all-cause death; stent thrombosis and safety outcomes (all coronary artery bypass graft [CABG] or non-CABG TIMI [Thrombolysis In Myocardial Infarction] major bleeding) were also evaluated at 7 days. RESULTS: The primary efficacy outcome of cardiovascular death, MI, stroke, urgent revascularization or glycoprotein IIb/IIIa inhibitor bailout use did not differ between the quartiles of pre-treatment duration in the trial population (p = 0.17 for interaction). None of the secondary efficacy outcomes were found to be dependent on pre-treatment duration. The safety outcome of all CABG or non-CABG TIMI major bleeding did not differ between the quartiles of pre-treatment duration (p = 0.37 for interaction). CONCLUSIONS: In non-ST-segment elevation MI patients, the excess risk of bleeding and the absence of ischemic benefit were consistent across the quartiles of increasing duration of prasugrel pre-treatment. (A Comparison of Prasugrel at PCI or Time of Diagnosis of Non-ST Elevation Myocardial Infarction [ACCOAST]; NCT01015287).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.005
GPT teacher head0.216
Teacher spread0.212 · 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".

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Citations20
Published2019
Admission routes1
Has abstractno

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