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Record W3093015048 · doi:10.1002/ejhf.2026

Heart Failure Association of the European Society of Cardiology Update on Sodium–Glucose Co-Transporter 2 Inhibitors in Heart Failure

2020· article· en· W3093015048 on OpenAlexaff
Petar Seferović, Gabriele Fragasso, Mark C. Petrie, Wilfried Müllens, Roberto Ferrari, Thomas Thum, Johann Bauersachs, Stefan D. Anker, Robin Ray, Yüksel Çavuşoğlu, Marija Polovina, Marco Metra, Giuseppe Ambrosio, Krishna Prasad, Jelena P. Seferović, Pardeep S. Jhund, Giuseppe Dattilo, Jelena Čelutkienė, Massimo Piepoli, Brenda Moura, Ovidiu Chioncel, Tuvia Ben Gal, Stéphane Heymans, Tiny Jaarsma, Loreena Hill, Yu. M. Lopatin, Alexander R. Lyon, Piotr Ponikowski, Mitja Lainščak, Ewa A. Jankowska, Christian Mueller, Francesco Cosentino, Lars H. Lund, Gerasimos Filippatos, Frank Ruschitzka, Andrew J.S. Coats, Giuseppe Rosano

Bibliographic record

VenueEuropean Journal of Heart Failure · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsEmpagliflozinDapagliflozinMedicineCanagliflozinHeart failureInternal medicineBenzhydryl compoundsCardiologyDiabetes mellitusEjection fractionType 2 diabetesType 2 Diabetes MellitusIntensive care medicineEndocrinology

Abstract

fetched live from OpenAlex

The Heart Failure Association (HFA) of the European Society of Cardiology (ESC) has recently issued a position paper on the role of sodium-glucose co-transporter 2 (SGLT2) inhibitors in heart failure (HF). The present document provides an update of the position paper, based of new clinical trial evidence. Accordingly, the following recommendations are given: • Canagliflozin, dapagliflozin empagliflozin, or ertugliflozin are recommended for the prevention of HF hospitalization in patients with type 2 diabetes mellitus and established cardiovascular disease or at high cardiovascular risk. • Dapagliflozin or empagliflozin are recommended to reduce the combined risk of HF hospitalization and cardiovascular death in symptomatic patients with HF and reduced ejection fraction already receiving guideline-directed medical therapy regardless of the presence of type 2 diabetes mellitus.

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)0.004
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0070.003

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 head0.011
GPT teacher head0.223
Teacher spread0.213 · 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

Citations84
Published2020
Admission routes1
Has abstractyes

Explore more

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