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Record W2100134754 · doi:10.1258/jrsm.97.10.461

The case for statins: has it really been made?

2004· article· en· W2100134754 on OpenAlexaff
Andrew Thompson, Norman J. Temple

Bibliographic record

VenueJournal of the Royal Society of Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsAthabasca University
Fundersnot available
KeywordsComputer scienceHydroxymethylglutaryl-CoA Reductase InhibitorsData scienceInformation retrievalMedicineStatinInternal medicine

Abstract

fetched live from OpenAlex

Statin drugs are a modern success story. They are the medical treatment for coronary disease and the star of the pharmaceutical industry. Worldwide, sales of statins are running at about $19 billion a year and growing quickly.1 This success profits not only the pharmaceutical industry but also all those whose finances and careers are furthered by the research and the sales. But to what extent is it also a success for the general public? To answer this we will look at the major long-term (five to six year) clinical trials of statins. We start with the treatment offered to the participants, then look at the endpoints that were selected, and continue with a look at how the results have been reported. We conclude with a discussion of the cost-effectiveness of statins for people at different levels of risk of coronary heart disease (CHD).

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)0.004
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.756
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.027
GPT teacher head0.295
Teacher spread0.268 · 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 designNot applicable
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

Citations18
Published2004
Admission routes1
Has abstractyes

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