Evidence map›Paper›PMID 32172459›Full record

ArticleInternal and emergency medicine2020

Characteristics of current heart failure patients admitted to internal medicine vs. cardiology hospital units: the VASCO study.

Elisa Ricciardi, Giovanni La Malfa, Giulia Guglielmi, Elisabetta Cenni, Marco Micali, Luca Moisio Corsello, Patrizia Lopena, Luca Manco, Roberto Pontremoli, Paolo Moscatelli and 7 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 1 institution in 1 country.

Elisa RicciardiClinica di Medicina d'Urgenza, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Giovanni La MalfaClinica di Malattie dell'Apparato Cardiovascolare con UTIC, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Giulia GuglielmiClinica di Malattie dell'Apparato Cardiovascolare con UTIC, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Elisabetta CenniDivisione di Medicina d'Urgenza, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Marco MicaliClinica di Medicina d'Urgenza, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Luca Moisio CorselloClinica di Medicina d'Urgenza, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Patrizia LopenaClinica di Medicina Interna 1, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Luca MancoClinica di Medicina Interna 2, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Roberto PontremoliClinica di Medicina Interna 2, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Paolo MoscatelliDivisione di Medicina d'Urgenza, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Giuseppe MurdacaClinica di Medicina Interna ad Orientamento Immunologico, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Natale MussoClinica Endocrinologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Fabrizio MontecuccoClinica di Medicina Interna 1, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Pietro AmeriClinica di Malattie dell'Apparato Cardiovascolare con UTIC, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Italo PortoClinica di Malattie dell'Apparato Cardiovascolare con UTIC, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Aldo PendeClinica di Medicina d'Urgenza, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Marco CanepaClinica di Malattie dell'Apparato Cardiovascolare con UTIC, IRCCS Ospedale Policlinico San Martino, Genoa, Italy. marco.canepa@unige.it.ORCID 0000-0001-9063-5576
Ospedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of patients hospitalized for heart failure (HF) are admitted to internal medicine (IM) rather than to cardiology (CA) units, but to date few studies have analyzed the characteristics of these two populations. In this snapshot survey, we compared consecutive patients admitted for HF in six IM units vs. one non-intensive CA unit. During the 6-month survey period, 467 patients were enrolled (127 in CA, 27.2% vs. 340 in IM, 72.8%). IM patients were almost 10 years older (CA 75 ± 10, IM 82 ± 8 years; p < 0.001), more frequently female (CA 39%, IM 55%; p = 0.002) and living at home alone (CA 12%, IM 21%; p = 0.017). The leading cause of hospitalization in both groups was acute worsening of HF (CA 42%, IM 53%; p = 0.031), followed by atrial fibrillation (CA 29%, IM 12%; p < 0.001) and infections (CA 24%, IM 27%; p = 0.563). Ischemic (CA 43%, IM 30%; p = 0.008) and dilated cardiomyopathy patients (CA 21%, IM 12%; p < 0.001) were primarily admitted to CA unit, whereas those with hypertensive heart disease to IM (CA 3%, IM 39%; p < 0.001). Left ventricular ejection fraction (LVEF) was available in 96% of CA patients, but only in 60% of IM patients (p = 0.001). Among patients with LVEF measured, those with LVEF < 40% were predominantly admitted to CA (CA 60%, IM 14%; p < 0.001), whereas those with LVEF ≥ 50% were admitted to IM (CA 21%, IM 33%; p = 0.019); 26% of IM patients were discharged without a known LVEF. Medical treatments also significantly differed, according to patients' clinical and instrumental characteristics in each unit. This study demonstrates important differences between HF patients hospitalized in CA vs. IM, and the need for a greater interaction between these two medical specialties for a better care of HF patients.

Indexed as

HospitalizationInternal MedicineAgedAged, 80 and overCardiology Service, HospitalFemaleHeart FailureHumansItalyMaleRegistriesCardiologyHeart failureHospitalizationInternal medicineLeft ventricular ejection fraction

Identifiers

PMID32172459
OpenAlexW3011931699

What OpenQuestion holds

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Registered trials

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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.