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Record W4401057693 · doi:10.1093/qjmed/hcae144

Statin intolerance and the drucebo effect

2024· article· en· W4401057693 on OpenAlex
B Mugawar, Sarah McErlean, P. O. Connor, Cormac Kennedy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQJM · 2024
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsTrinity College
Fundersnot available
KeywordsStatinMedicineAtherosclerotic cardiovascular diseaseInternal medicineExercise intoleranceDiseaseRisk factorCardiologyPhysical therapy

Abstract

fetched live from OpenAlex

Hypercholesterolemia is a well-described risk factor for atherosclerotic cardiovascular disease. Statins remain the cornerstone of therapy. Statin intolerance (SI) particularly statin associated muscle symptoms (SAMS) and inappropriate stopping of treatment is associated with increased cardiovascular risk. A significant proportion of reported SAMS relates to expectation of side effects and can be termed the 'negative drucebo effect'. Patients should be educated about SI, the negative drucebo effect, in addition to the benefits of adherence to the therapy when first prescribed a statin. The aim of this commentary is to discuss the issue of SI, the negative drucebo effect and to suggest some interventions that may be used to address this issue.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score0.101

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.004
GPT teacher head0.260
Teacher spread0.256 · 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