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Record W2010683229 · doi:10.1067/mcp.2000.105152

Growth in use of statins after trials is not targeted to most appropriate patients

2000· article· en· W2010683229 on OpenAlexaff
J. Feely

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2000
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsTrinity College
Fundersnot available
KeywordsMedicineSimvastatinPopulationStatinClinical trialCoronary heart diseaseEzetimibeDefined daily doseInternal medicineMedical prescriptionEnvironmental healthPharmacology

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether growth in the use of lipid-lowering drugs after publication of studies in the primary and secondary prevention of coronary heart disease is in the population in which benefit was established, particularly middle-aged men. METHODS: We performed a series of pharmacoepidemiologic surveys of community prescribing in Ireland over 4 years. RESULTS: Nationally, the use of lipid-lowering drugs (92% statins) increased approximately fourfold from 1994 to 1998. In the Eastern Health Board region, the number of monthly recipients increased from 447 in April 1994 to 3530 in March 1998. Although use increased steadily after publication of Scandinavian Simvastatin Survival Study (4S) and West of Scotland Coronary Prevention Study (WOSCOPS) in 1994 and 1995, respectively, this occurred to a greater extent in women. However, after the Cholesterol and Recurrent Events (CARE) study in 1996 and subsequent recommendations that targeted statin use, particularly in men from 35 to 69 years old, there was a relatively greater increase in that population but, at 2.3%, it was well short of the target population of 5.8%. More women than men older than 65 years are receiving statins. The 10-mg dosage (a fourth or half that used in studies) is the most frequently dispensed. CONCLUSION: The use of statins, although rising rapidly, is below targets and was initially not directed at the population likely to benefit most or in the recommended dosage. Consequently, the benefits projected from clinical trials may not be seen in clinical practice.

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)0.035
metaresearch head score (Gemma)0.164
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.164
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.002
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 head0.135
GPT teacher head0.427
Teacher spread0.293 · 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.

Study designObservational
DomainMethods
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

Citations46
Published2000
Admission routes1
Has abstractyes

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