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Record W2116646125 · doi:10.1177/1741826711400545

Persistent lipid abnormalities in statin-treated patients and predictors of LDL-cholesterol goal achievement in clinical practice in Europe and Canada

2011· article· en· W2116646125 on OpenAlexaffabout
Anselm K. Gitt, Heinz Drexel, J. Feely, Jean Ferrières, José Ramón González‐Juanatey, K.K. Thomsen, Lawrence A. Leiter, Pia Lundman, Pedro Silva, Terje Pedersen, David Wood, Claus Jünger, Pam S. Dellea, Vasilisa Sazonov, François Chazelle, John J.P. Kastelein

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2011
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineLdl cholesterolStatinPrimary careInternal medicineCholesterolClinical PracticePhysical therapyIntensive care medicinePediatricsFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The prevalence of persistent lipid abnormalities in patients receiving statins in primary and secondary care is needed to formulate recommendations for future treatment. Studies associating cardiovascular risk factors with lipid target goal achievement are lacking. DESIGN: A cross-sectional, observational study that assessed the prevalence of persistent dyslipidemia in patients treated with statins and analyzed predictors of lipid target achievement. METHODS: Serum lipid values of 22,063 statin-treated patients were studied in the context of their cardiovascular risk factors, and the potency and composition of their lipid-lowering treatment. European Society of Cardiology recommendations were used to classify patient risk, and to define LDL-cholesterol goal and normal levels for HDL-cholesterol and triglycerides. RESULTS: Overall, 48.2% of patients did not achieve the therapeutic goal for LDL-cholesterol, either as a single lipid anomaly or associated with low HDL-cholesterol, elevated triglycerides, or both. Lack of goal achievement was more prevalent among low-risk patients (55.8%) than high-risk patients (46.8%). Serum LDL-cholesterol levels were lower in high-risk patients. Predictors associated with LDL-cholesterol goal achievement were higher statin dose (odds ratio (OR): 0.35), specialist treatment (OR: 0.74), or combined lipid-lowering therapy (OR: 0.80). CONCLUSIONS: Nearly half of statin-treated patients missed their therapeutic LDL-cholesterol goal, highlighting a gap between recommendations and clinical practice. Better achievement of LDL-cholesterol therapeutic goal was found among patients at high cardiovascular risk, those on high statin doses or using combination therapy, and patients managed by specialists. Results suggest that residual dyslipidemia in statin-treated patients at low cardiovascular risk may be reduced by increasing statin dose.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.261
Teacher spread0.241 · 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 designObservational
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

Citations163
Published2011
Admission routes2
Has abstractyes

Explore more

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