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Record W3082319100 · doi:10.2459/jcm.0000000000001091

Pathophysiology and management of recreational drug-related acute coronary syndrome: ANMCO position statement

2020· review· en· W3082319100 on OpenAlexaff
Stefania Angela Di Fusco, Roberta Rossini, Marco Flori, Luigi Pollarolo, Nadia Ingianni, Marco Malvezzi Caracciolo D’Aquino, Giuseppe Galati, Filippo Zilio, Fortunato Scotto di Uccio, Fabiana Lucà, Michele Massimo Gulizia, Francesco Ciccirillo, Domenico Gabrielli, Furio Colivicchi

Bibliographic record

VenueJournal of Cardiovascular Medicine · 2020
Typereview
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsMedicineAcute coronary syndromeRecreational DrugCoronary artery diseasePosition statementIntensive care medicinePathophysiologyEpidemiologyDrugDiseaseInternal medicineCardiologyMyocardial infarctionPharmacologyFamily medicine

Abstract

fetched live from OpenAlex

Recreational drug use may cause coronary artery disease through several mechanisms. An increasing number of young patients with drug-related acute coronary syndrome have been reported over recent years. The present position statement reports the most recent epidemiological data on acute coronary syndrome in the setting of drug abuse, describes the main pathophysiological mechanisms underlying coronary artery disease and acute events in these patients, and provides practical recommendations on management and an overview of prognosis.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.003

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 head0.016
GPT teacher head0.301
Teacher spread0.285 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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