MétaCan
Menu
Back to cohort
Record W2112697651 · doi:10.1093/eurheartj/sul051

Clopidogrel in non-ST-segment elevation acute coronary syndromes

2006· article· en· W2112697651 on OpenAlexaff
Shamir R. Mehta

Bibliographic record

VenueEuropean Heart Journal Supplements · 2006
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineClopidogrelAspirinPercutaneous coronary interventionAcute coronary syndromeCardiologyMyocardial infarctionInternal medicineRegimenLoading doseStroke (engine)Anesthesia

Abstract

fetched live from OpenAlex

Platelets play a central role in the pathophysiology of arterial thrombosis in patients with acute coronary syndrome (ACS). Aspirin is superior to placebo in preventing mortality and ischemic events in patients with ACS. Clopidogrel, when added to aspirin and given daily for up to 1 year, reduces cardiovascular death, myocardial infarction and stroke by 20% in patients presenting with ACS. The benefits of long term therapy with clopidogrel are present in those patients treated medically, with percutaneous coronary intervention and with CABG surgery. There is a higher risk of bleeding with clopidogrel, but this risk may be lowered with use of lower doses of aspirin (<100 mg daily). The benefits of clopidogrel in those patients undergoing an early invasive strategy may be enhanced by increasing the loading dose to 600 mg, followed by 150 mg daily for one week, then 75 mg daily. This hypothesis is being tested in the CURRENT OASIS 7 trial involving 14000 patients with ACS undergoing an early invasive strategy with intent for PCI within 24 hours, who will be randomized to this higher dose regimen of clopidogrel versus the standard dose regimen of 300 mg loading dose followed by 75 mg daily.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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".

Quick stats

Citations7
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Heart Journal SupplementsSame topicAntiplatelet Therapy and Cardiovascular DiseasesFrench-language works237,207