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Record W4408675180 · doi:10.5603/cj.99973

Early treatment with inhibitors of P2Y12 receptor in patients with ST-segment elevation myocardial infarction — 2023 ESC recommendations and scientific evidence. Is clinical evidence sufficient to suggest a move towards precision medicine? The ELECTRA-SIRIO 2 investigators’ viewpoint

2025· review· en· W4408675180 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCardiology Journal · 2025
Typereview
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineP2Y12Internal medicineMyocardial infarctionCardiologyElevation (ballistics)Precision medicineST segmentIntensive care medicineClopidogrelPathology

Abstract

fetched live from OpenAlex

The 2023 ESC guidelines changed previously recommended a strategy of early treatment in patients with STEMI. Pre-treatment with a P2Y12 receptor inhibitor may be considered in patients undergoing a primary PCI strategy (Class IIb, Level of evidence B). However, the available scientific evidence justifies a personalized approach differentiating the indications for pre-treatment with oral P2Y12 receptor inhibitors depending on the concomitant administration of opioids. In our opinion, in patients undergoing primary PCI not treated with opioids, pre-treatment with an oral P2Y12 receptor inhibitor should be applied, while in patients undergoing primary PCI treated with opioids, pre-treatment with an oral P2Y12 receptor inhibitor should be considered.

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.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.878
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.097
GPT teacher head0.407
Teacher spread0.310 · 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