MétaCan
Menu
Back to cohort
Record W2140694954 · doi:10.1093/eurheartj/ehq242

C-reactive protein is a bystander of cardiovascular disease

2010· review· en· W2140694954 on OpenAlexaff
Sonia S. Anand, Salim Yusuf

Bibliographic record

VenueEuropean Heart Journal · 2010
Typereview
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsMcMaster UniversityPopulation Health Research InstituteHamilton General Hospital
Fundersnot available
KeywordsBystander effectMedicineC-reactive proteinDiseaseCoronary heart diseasePopulationAtherosclerotic cardiovascular diseaseInternal medicineInflammationCardiologyImmunologyEnvironmental health

Abstract

fetched live from OpenAlex

A large number of studies have evaluated the association of hs-C-reactive protein with atherosclerosis and coronary heart disease (CHD) in mechanistic, genetic, population-based studies, as well as clinical trials. This paper reviews the collective evidence to determine if hs-C-reactive protein is part of the causal pathway of atherosclerosis and CHD or whether it is a bystander.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.060
GPT teacher head0.325
Teacher spread0.266 · 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

Citations54
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Heart JournalSame topicAdipokines, Inflammation, and Metabolic DiseasesFrench-language works237,207