Evidence map›Paper›PMID 39563177›Full record

ArticleEuropean journal of heart failure2025

Knowledge and application of ESC/HFA guidelines in the management of advanced heart failure.

Guillaume Baudry, Nicolas Girerd, Maja Cikes, Maria Generosa Crespo-Leiro, Kevin Damman, Clément Delmas, Stamatis Adamopoulos, Sanem Nalbantgil, Hoong Sern Lim, Frank Ruschitzka and 2 more

Abstract read
In one paragraph

Article in European journal of heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Guillaume BaudryUniversité de Lorraine, INSERM, Centre d'Investigations Cliniques Plurithématique, INSERM 1433, CHRU de Nancy, Institut Lorrain du Coeur et des Vaisseaux, Nancy, France.ORCID https://orcid.org/0000-0002-9200-2729
Nicolas GirerdUniversité de Lorraine, INSERM, Centre d'Investigations Cliniques Plurithématique, INSERM 1433, CHRU de Nancy, Institut Lorrain du Coeur et des Vaisseaux, Nancy, France.
Maja CikesDepartment of Cardiovascular Diseases, University of Zagreb School of Medicine & University Hospital Center Zagreb, Zagreb, Croatia.
Maria Generosa Crespo-LeiroCardiology Department, Complexo Hospitalario Universitario A Coruña (CHUAC), A Coruña, Spain.
Kevin DammanUniversity of Groningen, Department of Cardiology, University Medical Centre Groningen, Groningen, The Netherlands.
Clément DelmasINI-CRCT (Cardiovascular and Renal Clinical Trialists) F-CRIN Network, Nancy, France.
Stamatis AdamopoulosHeart Failure, Transplant and Mechanical Circulatory Support Units, Onassis Cardiac Surgery Center, Athens, Greece.
Sanem NalbantgilDepartment of Cardiology, Ege University Faculty of Medicine, Izmir, Turkey.
Hoong Sern LimInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.
Frank RuschitzkaDepartment of Cardiology, University Heart Center, University Hospital Zurich, Zürich, Switzerland.
Marco MetraDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Finn GustafssonDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsManagement of advanced heart failure (HF) remains challenging despite specific sections in the 2021 European Society of Cardiology/Heart Failure Association (ESC/HFA) guidelines, with delays in referrals exacerbating the issue. This study aimed to evaluate the awareness and implementation of these guidelines among cardiologists and identify barriers to effective referral. METHODS AND

resultsFrom June to October 2023, an online survey was disseminated through the ESC mailing list, targeting cardiologists across Europe. The survey investigated four areas: guideline awareness, healthcare network organization, clinical case management, and perceptions of mechanical circulatory support (MCS) outcomes. Respondents were categorized into heart failure cardiologists (HFCs), general cardiologists (GCs), and other participants (OPs). Among 497 respondents, 25% were heart HFCs, 40% were GCs, and 35% were OPs. A total of 84% of HFCs reported a high level of guideline knowledge, compared to 57% of GCs and 62% of OPs (p < 0.001). Additionally, 76% of HFCs 'regularly or always' used ESC/HFA criteria to identify advanced HF, compared to 44% of GCs and 48% of OPs (p < 0.001). Correct responses regarding the recommendation class for heart transplantation were 84%, 55%, and 60% (p < 0.0001), and for MCS as a bridge to transplantation, 69%, 65%, and 55% (p = 0.018) among HFCs, GCs, and OPs, respectively. Referring patients with severe HF to a tertiary centre team was found to be 'very difficult' or 'difficult' by 8.4% of HFCs, 19.6% of GCs, and 18.2% of OPs (p = 0.0005).

conclusionThe study highlights significant disparities in knowledge and application of advanced HF guidelines among cardiologists, revealing an opportunity for educational initiatives. The difficulty in referring patients to tertiary centres underscores the need to improve the referral pathway for advanced HF patients.

Indexed as

CardiologistsCardiologyDisease ManagementGuideline AdherenceHealth Knowledge, Attitudes, PracticeHeart FailurePractice Guidelines as TopicPractice Patterns, Physicians'Societies, MedicalEuropeFemaleHumansMaleReferral and ConsultationSurveys and QuestionnairesAdvanced heart failureCardiologist educationESC/HFA guidelinesHealthcare networksMechanical circulatory supportTransplantation

Identifiers

PMID39563177
PMCPMC12260342

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.