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Record W3040668198 · doi:10.1002/ejhf.1954

Sodium–Glucose Co-Transporter 2 Inhibitors in Heart Failure: Beyond Glycaemic Control. A Position Paper of the Heart Failure Association of the European Society of Cardiology

2020· article· en· W3040668198 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, Rudolf A. de Boer, 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)
FundersRelypsaBoston Scientific CorporationServierUniversität ZürichAstraZenecaMyoKardiaBristol-Myers Squibb
KeywordsDapagliflozinEmpagliflozinMedicineCanagliflozinHeart failureEjection fractionInternal medicineCardiologyBenzhydryl compoundsDiabetes mellitusClinical trialType 2 diabetesEndocrinology

Abstract

fetched live from OpenAlex

Heart failure (HF) is common and associated with a poor prognosis, despite advances in treatment. Over the last decade cardiovascular outcome trials with sodium-glucose co-transporter 2 (SGLT2) inhibitors in patients with type 2 diabetes mellitus have demonstrated beneficial effects for three SGLT2 inhibitors (empagliflozin, canagliflozin and dapagliflozin) in reducing hospitalisations for HF. More recently, dapagliflozin reduced the risk of worsening HF or death from cardiovascular causes in patients with chronic HF with reduced left ventricular ejection fraction, with or without type 2 diabetes mellitus. A number of additional trials in HF patients with reduced and/or preserved left ventricular ejection fraction are ongoing and/or about to be reported. The present position paper summarises recent clinical trial evidence and discusses the role of SGLT2 inhibitors in the treatment of HF, pending the results of ongoing trials in different populations of patients with HF.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.006
GPT teacher head0.205
Teacher spread0.199 · 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 designNot applicable
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

Citations130
Published2020
Admission routes1
Has abstractyes

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