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Record W2286142535 · doi:10.1136/emermed-2015-205240.1

BET 1: Which form of aspirin is the fastest to inhibit platelet aggregation in emergency department patients with non-ST segment elevation myocardial infarction?

2015· review· en· W2286142535 on OpenAlexaff
Niall Morris, Kaitlynn Rigg, Kerstin Hogg

Bibliographic record

VenueEmergency Medicine Journal · 2015
Typereview
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAspirinMedicineEmergency departmentPlateletMyocardial infarctionAcute coronary syndromePlatelet aggregation inhibitorInternal medicineCardiologyAnesthesiaNursing

Abstract

fetched live from OpenAlex

A short cut review was carried out to establish whether, in patients with suspected acute coronary syndromes presenting to the emergency department, what form of aspirin has the most rapid onset of action. Papers comparing the speed of onset of chewable aspirin, or soluble aspirin or solid aspirin were included. This summarises all three parts of a combined best evidence topic report (BET). The clinical bottom line is that chewable aspirin may be faster than soluble aspirin at decreasing the amount of time to achieve platelet inhibition in a patient. Soluble aspirin is faster than whole solid aspirin, which is faster than enteric-coated aspirin.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.320
Teacher spread0.290 · 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.

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

Citations3
Published2015
Admission routes1
Has abstractyes

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