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Record W4410416397 · doi:10.1093/eurheartjsupp/suaf070

ANMCO position paper: diagnosis and treatment of heart failure with preserved systolic function

2025· article· en· W4410416397 on OpenAlexaff
Attilio Iacovoni, Alessandro Navazio, Leonardo De Luca, Mauro Gori, Marco Corda, Massimo Milli, Massimo Iacoviello, Andrea Di Lenarda, Giuseppe Di Tano, Marco Marini, Andrea Mortara, Gian Francesco Mureddu, Filippo Zilio, Cristina Chimenti, Manlio Cipriani, Michele Senni, Claudio Bilato, Massimo Di Marco, Giovanna Geraci, Vittorio Pascale, Carmine Riccio, Pietro Scicchitano, Emanuele Tizzani, Michele Massimo Gulizia, Federico Nardi, Domenico Gabrielli, Furio Colivicchi, Massimo Grimaldi, Fabrizio Oliva

Bibliographic record

VenueEuropean Heart Journal Supplements · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsMedicineCardiologyHeart failureInternal medicinePosition (finance)Finance

Abstract

fetched live from OpenAlex

Heart failure is the leading cardiovascular cause of hospitalization with an increasing prevalence, especially in older patients. About 50% of patients with heart failure have preserved ventricular function, a form of heart failure that, until a few years ago, was orphaned by pharmacological treatments effective in reducing hospitalization and mortality. New trials, which have tested the use of gliflozins in patients with heart failure with preserved ejection fraction (HFpEF), have for the first time demonstrated their effectiveness in changing the natural history of this insidious and frequent form of heart failure. Therefore, diagnosing those patients early is crucial to provide the best treatment. Moreover, the diagnosis is influenced by the patient's comorbidities, and some HFpEF patients have symptoms common to other rare diseases that, if unrecognized, develop an unfavourable prognosis. This position paper aims to provide the clinician with a useful tool for diagnosing and treating patients with HFpEF, guiding the clinician towards the most appropriate diagnostic and therapeutic pathway.

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)0.000
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 score0.372
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.020
GPT teacher head0.272
Teacher spread0.252 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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