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Record W4224306655 · doi:10.1016/j.xjon.2022.04.009

Commentary: Postcoronary artery bypass grafting treatment of dyslipidemia: Better hit those targets!

2022· editorial· en· W4224306655 on OpenAlexaff
Walid Ben Ali, Louis P. Perrault

Bibliographic record

VenueJTCVS Open · 2022
Typeeditorial
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsMontreal Heart InstituteUniversité de Montréal
Fundersnot available
KeywordsDyslipidemiaBypass graftingMedicineArteryCardiologyInternal medicineRevascularizationCohort

Abstract

fetched live from OpenAlex

Central MessageSimply treating dyslipidemia after CABG is not good enough; better hit those targets to improve outcomes after CABG.See Article page 195. Secondary prevention is essential to optimize the long-term outcomes of patients who undergo coronary artery bypass grafting (CABG), and treatment of dyslipidemia is a key component of this prophylactic approach. In this paper from Lim and colleagues,1Lim K. Wong C.H.M. Lee A.L.Y. Fujikawa T. Wong R.H.L. Influence of cholesterol level on long-term survival and cardiac events after surgical coronary revascularization.J Thorac Cardiovasc Surg Open. 2022; 10: 195-203Scopus (1) Google Scholar 309 patients operated in 2007 to 2008 were followed a mean of 12.5 years and underwent a total number of 5774 lipid profile measurements, or 1.53 measurements per patient-year of follow-up. The key findings emanating from this dataset are that less than 25% of patients achieved a low-density lipoprotein cholesterol level below 1.8 mmol/L, highlighting a significant gap between guidelines and clinical practice and that persistent lipid abnormalities are often overlooked. Considering the benefits of optimal lipid control on cardiac events and cardiac death after CABG, 21.7% and 6.8%, respectively, in this cohort, this information should act as a wake-up call to physicians following and treating risk factors after surgical myocardial revascularization. Despite the limitations brought about by the lack of data on timing of initiation and drug adherence, the variations in type and dosage of statin molecules as well as crossovers from one drug to another as well as in the intensity of treatment, one thing should be clear to all: Simply treating dyslipidemia after CABG is not good enough—better hit those targets! Influence of cholesterol level on long-term survival and cardiac events after surgical coronary revascularizationJTCVS OpenVol. 10PreviewStatins have been shown to delay the inevitable progression of atherosclerosis in native coronaries and saphenous vein grafts, thereby reducing ischemic events after surgical coronary revascularization. However, there is significant controversy as to whether titrating statin therapy to concrete cholesterol targets is appropriate. Full-Text PDF Open Access

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.316
Teacher spread0.294 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2022
Admission routes1
Has abstractyes

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