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Record W4375956159 · doi:10.1186/s43044-023-00364-3

Boosting protection for patients with non-acute cardiovascular disease: a focus on antithrombotic regimen (a consensus expert opinion from the Egyptian Society of Cardiology working group of thrombosis and prevention)

2023· article· en· W4375956159 on OpenAlexaboutno aff
Ahmed Bendary, Bassem Zarif, Hala Mahfouz Badran, Khaled Shokry, Hamza Kabil

Bibliographic record

VenueThe Egyptian Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsnot available
FundersEgyptian Society of Cardiology
KeywordsMedicineAntithromboticAspirinRegimenIntensive care medicineExpert opinionClopidogrelThrombosisCanadian Cardiovascular SocietyRivaroxabanDiseaseInternal medicineWarfarinAtrial fibrillation

Abstract

fetched live from OpenAlex

BACKGROUND: Till the moment of this document writing, no Egyptian consensus is there to guide selection of additional antithrombotic in stable patients with established CVD. Despite use of lifestyle measures and statins, those patients with established CVD still face a considerable burden of residual risk. MAIN BODY: With the evolvement of evidence-based medicine, there have been a lot of recommendations to use additional antithrombotic medications to maximize protection for those patients. Accordingly, the Egyptian Society of Cardiology working group of thrombosis and prevention took the responsibility of providing an expert consensus on the current recommendations for using antithrombotic medications to maximize protection in stable patients with established CVD. For stable patients with established CVD, in addition to proper lifestyle measures and appropriate dose statins, we recommend long-term aspirin therapy. In patients who are unable to take aspirin and in those with a history of gastrointestinal bleeding, clopidogrel is a reasonable alternative. CONCLUSIONS: For some stable atherosclerotic CVD patients who are at high risk of cardiovascular events and at low risk for bleeding, a regimen of rivaroxaban and aspirin might be taken into consideration.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.054
GPT teacher head0.295
Teacher spread0.240 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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