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Record W3108102955 · doi:10.1093/ehjci/ehaa946.2845

Recommendations and associated levels of evidence for statin use in primary prevention of cardiovascular disease: a comparison at population level of the ESC, ACC/AHA, USPSTF, and CCS Guidelines

2020· article· en· W3108102955 on OpenAlexaboutno aff
Jelena Pavlović, Oscar H. Franco, Maryam Kavousi, M. Kamran Ikram, Jaap W. Deckers, M. Arfan Ikram, J.G Leening

Bibliographic record

VenueEuropean Heart Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGuidelineStatinPopulationInternal medicineCanadian Cardiovascular SocietyPhysical therapyMyocardial infarctionEnvironmental healthPathology

Abstract

fetched live from OpenAlex

Abstract Background It is unclear to what extent the 2019 European Society of Cardiology (ESC), 2018 American College of Cardiology/ American Heart Association (ACC/AHA), 2016 US Preventive Services Task Force (USPSTF), and 2016 Canadian Cardiovascular Society (CCS) guidelines differ in assigning levels of evidence and classes of recommendations (LOE/class) to lipid-lowering treatment recommendations in primary prevention of cardiovascular disease (CVD). Purpose To compare LOE/class from four commonly used guidelines at population level. Methods A total of 7262 participants, aged 45–75 years of age and without history of CVD, from the prospective population-based Rotterdam Study were included. Per guideline, proportions of the population recommended statin therapy by LOE/class, sensitivity and specificity, and numbers needed to treat at 10 years (NNT10y) were calculated. Results Mean age was 61.1 (SD 6.9) years, and 58.2% were women. ESC, ACC/AHA, USPSTF and CCS strongly recommended statin use for a respective 33.8%, 48.1%, and 40.2% and 73.0% of the eligible population based on high-quality evidence, while in an additional 55.3%, 7.1%, 8.4% and 9.2% of participants statins use could or should be considered based on varying LOE/class. The sensitivity for treatment recommendations supported with strong, high quality evidence was 61.6% for ESC (“IA”), 74.6% for ACC/AHA (“IA or IB”), 69.4% for USPSTF (“USPSTF-B”) and 92.5% for CCS (“strong”). Specificity was highest for the ACC/AHA at 46.8% and lowest for ESC at 11.4%. Estimated NNT10y for those with the strongest LOE/class were comparable across all guidelines, ranging from 18 to 26 for moderate-intensity statin use, and 11 to 16 for high-intensity statin use. NNT10y reflective of recommendations supported with moderate strength of LOE/class varied substantially among guidelines for both moderate-intensity and high-intensity statin use, ranging from 33 for ESC and USPSTF to 91 for CCS. Conclusions Assigned LOE/class varied greatly among four clinical practice guidelines for primary prevention of CVD. Efforts for harmonized and comparable evidence grading system for clinical practice guidelines in primary prevention of CVD may reduce ambiguity, and reinforce updated evidence-based recommendations for appropriate treatment of populations for whom clear evidence for benefit of statin use is available. Funding Acknowledgement Type of funding source: None

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)0.048
metaresearch head score (Gemma)0.186
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score0.255

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.186
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0120.010
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.584
GPT teacher head0.428
Teacher spread0.157 · 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.

Study designObservational
DomainEvaluation
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

Citations0
Published2020
Admission routes1
Has abstractyes

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