Evidence map›Paper›PMID 33382755›Full record

ArticlePloS one2020

Diagnosis, treatment, and follow-up of heart failure patients by general practitioners: A Delphi consensus statement.

Caroline Verhestraeten, Gijs Weijers, Daphne Debleu, Agnieszka Ciarka, Marc Goethals, Steven Droogmans, Michael Maris

Abstract readConsensus Statement
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 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

7 authors.

Caroline VerhestraetenNovartis Pharma nv-sa, Vilvoorde, Belgium.ORCID 0000-0001-5833-2428
Gijs WeijersDepartment of Cardiology, Centre Hospitalier Bois de l'Abbaye, Seraing, Belgium.
Daphne DebleuNovartis Pharma nv-sa, Vilvoorde, Belgium.
Agnieszka CiarkaDepartment of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium.
Marc GoethalsDepartment of Cardiology, OLV Hospital Aalst, Aalst, Belgium.
Steven DroogmansDepartment of Cardiology, Centrum Voor Hart-en Vaatziekten, Jette, Belgium.
Michael MarisNovartis Pharma nv-sa, Vilvoorde, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsCreation of an algorithm that includes the most important parameters (history, clinical parameters, and anamnesis) that can be linked to heart failure, helping general practitioners in recognizing heart failure in an early stage and in a better follow-up of the patients. METHODS AND

resultsThe algorithm was created using a consensus-based Delphi panel technique with fifteen general practitioners and seven cardiologists from Belgium. The method comprises three iterations with general statements on diagnosis, referral and treatment, and follow-up. Consensus was obtained for the majority of statements related to diagnosis, referral, and follow-up, whereas a lack of consensus was seen for treatment statements. Based on the statements with good and perfect consensus, an algorithm for general practitioners was assembled, helping them in diagnoses and follow-up of heart failure patients. The diagnosis should be based on three essential pillars, i.e. medical history, anamnesis and clinical examination. In case of suspected heart failure, blood analysis, including the measurement of NT-proBNP levels, can already be performed by the general practitioner followed by referral to the cardiologist who is then responsible for proper diagnosis and initiation of treatment. Afterwards, a multidisciplinary health care process between the cardiologist and the general practitioner is crucial with an important role for the general practitioner who has a key role in the up-titration of heart failure medication, down-titration of the dose of diuretics and to assure drug compliance.

conclusionsBased on the consensus levels of statements in a Delphi panel setting, an algorithm is created to help general practitioners in the diagnosis and follow-up of heart failure patients.

Indexed as

ConsensusHeart FailurePractice Guidelines as TopicAftercareAlgorithmsCardiologistsCardiotonic AgentsDelphi TechniqueDiureticsDose-Response Relationship, DrugDrug Administration ScheduleGeneral PractitionersHumansReferral and ConsultationSurveys and QuestionnairesCardiotonic AgentsDiuretics

Identifiers

PMID33382755
PMCPMC7775077

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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.