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Record W2071080887 · doi:10.1097/mca.0b013e32832e5c35

Outcome of patients with acute coronary syndromes enrolled in clinical trials

2009· article· en· W2071080887 on OpenAlexaffabout
Amit Segev, Paul Fefer, Bradley H. Strauss, Shlomi Matetzky, Mary Tan, Anatoly Langer, Shaun G. Goodman

Bibliographic record

VenueCoronary Artery Disease · 2009
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsSunnybrook Health Science CentreCanadian Heart Research CentreUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineMyocardial infarctionInternal medicinePercutaneous coronary interventionAcute coronary syndromeAspirinClinical trialDiabetes mellitusCardiologyPsychological intervention

Abstract

fetched live from OpenAlex

The objective of this study was to evaluate in-hospital and 1-year outcomes of patients with acute coronary syndrome (ACS) enrolled in clinical studies. Among patients included in the Canadian ACS Registries, patients enrolled in clinical studies (n = 883, 13.4%) were compared with patients who were not enrolled. Enrolled patients were younger, more likely to be smokers, had less diabetes, less hypertension, less previous myocardial infarction, and less previous percutaneous coronary intervention and coronary artery bypass grafting. Enrollment in clinical studies was higher in patients with ST-elevation and ST-depression ACS. Furthermore, patients enrolled had more coronary interventions (percutaneous coronary intervention and coronary artery bypass grafting) and received more evidence-based therapies such as aspirin and statins. Unadjusted event rates were significantly higher in patients not enrolled in clinical studies: in-hospital death 2.4 versus 1.1% (P = 0.02), and 1-year death 9.2 versus 6.1% (P = 0.003), and death or myocardial infarction 16.1 versus 13.8% (P = 0.09). After multivariable analysis, enrollment in clinical studies showed a trend towards decreased in-hospital and 1-year death. Patients with ACS in Canada who participate in clinical studies are more likely to receive evidence-based therapies and interventions throughout hospitalization. After multivariable analysis, enrollment in a clinical trial may also contribute to better in-hospital and 1-year outcome.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.029
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.082
GPT teacher head0.410
Teacher spread0.328 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

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