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Record W1997930387 · doi:10.1592/phco.23.4.506.32129

The Importance of In‐Hospital Statin Therapy for Patients with Acute Coronary Syndromes

2003· review· en· W1997930387 on OpenAlexaff
Fran L. Paradiso‐Hardy, Wendy Gordon, Cynthia A. Jackevicius, Heather Kertland, Glen J. Pearson, Jennifer Pickering, Luc Poirier, Bill Semchuk, Lucie Verret

Bibliographic record

VenuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2003
Typereview
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsMontreal Heart InstituteUniversité LavalCentre hospitalier universitaire de QuébecUniversity of AlbertaSunnybrook Health Science CentreSt. Michael's HospitalInstitute for Clinical Evaluative SciencesUniversity of SaskatchewanRoyal Columbian HospitalHamilton Health SciencesToronto General HospitalUniversity of TorontoUniversity Health NetworkHealth Sciences Centre
Fundersnot available
KeywordsMedicineAcute coronary syndromeStatinInternal medicineCardiologyIntensive care medicineMyocardial infarction

Abstract

fetched live from OpenAlex

Starting lipid-lowering therapy in the hospital, especially with statins, has become an important component in the management of patients with acute coronary syndromes (ACS). It improves outcomes and increases patient motivation and long-term adherence. In addition, discontinuation of statin therapy in patients with ACS after hospital admission is associated with an increased risk of adverse outcomes. Recent non-ST elevation ACS guidelines recommend beginning statin therapy, along with dietary intervention, in patients whose low-density lipoprotein cholesterol levels exceed 130 mg/dl within 24-96 hours after hospital admission. Various strategies have been developed to aid in the implementation of in-hospital lipid-lowering therapy. Pharmacists can play a valuable role in optimizing drug therapy for dyslipidemia and ensuring long-term adherence.

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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.024
GPT teacher head0.364
Teacher spread0.340 · 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

Citations18
Published2003
Admission routes1
Has abstractyes

Explore more

Same venuePharmacotherapy The Journal of Human Pharmacology and Drug TherapySame topicLipoproteins and Cardiovascular HealthFrench-language works237,207