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Record W2995323635 · doi:10.1002/ejhf.1664

Baseline Features of the VICTORIA (Vericiguat Global Study in Subjects with Heart Failure with Reduced Ejection Fraction) Trial

2019· article· en· W2995323635 on OpenAlexaff
Burkert Pieske, Mahesh J. Patel, Cynthia M. Westerhout, Kevin J. Anstrom, Javed Butler, Justin A. Ezekowitz, Adrian F. Hernandez, Joerg Koglin, Carolyn S.P. Lam, Piotr Ponikowski, Lothar Roessig, Adriaan A. Voors, Christopher M. O’Connor, Paul W. Armstrong

Bibliographic record

VenueEuropean Journal of Heart Failure · 2019
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsCanadian VIGOUR CentreUniversity of Alberta
FundersRelypsaRespicardiaAbbott VascularServierNational Institute of General Medical SciencesNovo NordiskAmgenSingulexBoston Scientific CorporationCytokineticsAlereMyoKardiaBayerAbbott DiagnosticsBristol-Myers SquibbAstraZenecaCelladon CorporationNational Heart, Lung, and Blood InstituteVifor PharmaPfizer
KeywordsMedicineEjection fractionHeart failureCardiologyInternal medicineBaseline (sea)Fraction (chemistry)

Abstract

fetched live from OpenAlex

Abstract Aim Describe the distinguishing features of heart failure (HF) patients with reduced ejection fraction (HFrEF) in the VICTORIA (Vericiguat Global Study in Patients with Heart Failure with Reduced Ejection Fraction) trial. Methods and results Key background characteristics were evaluated in 5050 patients randomized in VICTORIA and categorized into three cohorts reflecting their index worsening HF event. Differences within the VICTORIA population were assessed and compared with PARADIGM-HF (Prospective comparison of ARNI with ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure) and COMMANDER HF (A Study to Assess the Effectiveness and Safety of Rivaroxaban in Reducing the Risk of Death, Myocardial Infarction, or Stroke in Participants with Heart Failure and Coronary Artery Disease Following an Episode of Decompensated Heart Failure). VICTORIA patients had increased risk of mortality and rehospitalization: New York Heart Association class (40% class III), atrial fibrillation (45%), diabetes (47%), hypertension (79%) and mean estimated glomerular filtration rate of 61.5 mL/min/1.73 m2. Baseline standard of HF care was very good: 60% received triple therapy. Their N-terminal pro-B-type natriuretic peptide was 3377 pg/mL [interquartile range (IQR) 1992–6380]. Natriuretic peptides were 30% higher level in the 67% patients with HF hospitalization <3 months, compared to those within 3–6 months of HF hospitalization and those randomized after recent outpatient intravenous diuretic therapy. Overall the median MAGGIC (Meta-Analysis Global Group in Chronic Heart Failure) risk score in VICTORIA was 23 (IQR 18–27) as compared to the MAGGIC risk score in PARADIGM-HF of 20 (IQR 16–24). Conclusions VICTORIA comprises a broadly generalizable high-risk population of three unique clinical strata of worsening chronic HFrEF despite very good HF therapy. VICTORIA will establish the role of vericiguat, a soluble guanylate cyclase stimulator, in HFrEF.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.010
GPT teacher head0.253
Teacher spread0.244 · 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 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

Citations89
Published2019
Admission routes1
Has abstractyes

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