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Ticagrelor or Prasugrel in Patients With ST-Segment–Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention

2020· article· en· W3095153061 on OpenAlexaff
Alp Aytekin, Gjin Ndrepepa, Franz‐Josef Neumann, Maurizio Menichelli, Katharina Mayer, Jochen Wöhrle, Isabell Bernlochner, Shqipdona Lahu, Gert Richardt, Bernhard Witzenbichler, Dirk Sibbing, Salvatore Cassese, Dominick J. Angiolillo, Christian Valina, Sebastian Kufner, Christoph Liebetrau, Christian W. Hamm, Erion Xhepa, Alexander Hapfelmeier, Hendrik B. Sager, Isabel Wustrow, Michael Joner, Dietmar Trenk, Massimiliano Fusaro, Karl‐Ludwig Laugwitz, Heribert Schunkert, Stefanie Schüpke, Adnan Kastrati

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsInstitute of Health Services and Policy Research
Fundersnot available
KeywordsMedicinePrasugrelTicagrelorMyocardial infarctionPercutaneous coronary interventionInternal medicineCardiologyClinical endpointHazard ratioTIMIRandomized controlled trialConfidence interval

Abstract

fetched live from OpenAlex

Background: Data on the comparative efficacy and safety of ticagrelor versus prasugrel in patients with ST-segment–elevation myocardial infarction undergoing primary percutaneous coronary intervention are limited. We assessed the efficacy and safety of ticagrelor versus prasugrel in a head-to-head comparison in patients with ST-segment–elevation myocardial infarction undergoing primary percutaneous coronary intervention. Methods: In this prespecified subgroup analysis, we included 1653 patients with ST-segment–elevation myocardial infarction randomized to receive ticagrelor or prasugrel in the setting of the ISAR REACT-5 trial (Intracoronary Stenting and Antithrombotic Regimen: Rapid Early Action for Coronary Treatment 5). The primary end point was the incidence of death, myocardial infarction, or stroke at 1 year after randomization. The secondary end point was the incidence of bleeding defined as BARC (Bleeding Academic Research Consortium) type 3 to 5 bleeding at 1 year after randomization. Results: The primary end point occurred in 83 patients (10.1%) in the ticagrelor group and in 64 patients (7.9%) in the prasugrel group (hazard ratio, 1.31 [95% CI, 0.95–1.82]; P =0.10). One-year incidence of all-cause death (4.9% versus 4.7%; P =0.83), stroke (1.3% versus 1.0%; P =0.46), and definite stent thrombosis (1.8% versus 1.0%; P =0.15) did not differ significantly in patients assigned to ticagrelor or prasugrel. One-year incidence of myocardial infarction (5.3% versus 2.8%; hazard ratio, 1.95 [95% CI, 1.18–3.23]; P =0.010) was higher with ticagrelor than with prasugrel. BARC type 3 to 5 bleeding occurred in 46 patients (6.1%) in the ticagrelor group and in 39 patients (5.1%) in the prasugrel group (hazard ratio, 1.22 [95% CI, 0.80–1.87]; P =0.36). Conclusions: In patients with ST-segment–elevation myocardial infarction undergoing primary percutaneous coronary intervention, there was no significant difference in the primary end point between prasugrel and ticagrelor. Ticagrelor was associated with a significant increase in the risk for recurrent myocardial infarction. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01944800.

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 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 score0.062
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.013
GPT teacher head0.222
Teacher spread0.209 · 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

Citations37
Published2020
Admission routes1
Has abstractyes

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