Evidence map›Paper›PMID 38146947›Full record

ArticleAnales del sistema sanitario de Navarra2023

Series of patients operated for masses and cysts in the heart in a Spanish general hospital: A 20-year experience.

Adrián Gil-Korilis, Claudia Esquíroz-Patiño, Aroa Llamas-Llamazares, Rebeca Manrique, Agnes Diaz-Dorronsoro

Open access · diamondAbstract readCase ReportsEnglish Abstract
In one paragraph

Article in Anales del sistema sanitario de Navarra, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 62% of its field
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

The trial behind it

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Adrián Gil-KorilisUniversity of Navarra. School of Medicine. Pamplona. Navarre. Spain.. agilkorilis@alumni.unav.es.
Claudia Esquíroz-PatiñoUniversity of Navarra. School of Medicine. Pamplona. Navarre. Spain
Aroa Llamas-LlamazaresUniversity of Navarra. School of Medicine. Pamplona. Navarre. Spain
Rebeca ManriqueUniversity of Navarra. School of Medicine. Pamplona. Navarre. Spain
Agnes Diaz-DorronsoroUniversity of Navarra. School of Medicine. Pamplona. Navarre. Spain
Universidad de Navarra · ESClinica Universidad de Navarra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMasses and cysts in the heart are well-known entities, but their low prevalence and non-specific symptoms makes the diagnosis difficult. We aimed to characterize the features of these entities in our environment.

methodsWe carried out a search of patients who underwent surgery for tumors and cysts in the heart between 2002 and 2022 in the registry of the Department of Cardiology and Cardiac Surgery of Clínica Universidad de Navarra (Pamplona, Spain). Sociodemographic, clinical, histological, and surgical variables were collected.

resultsWe identified 13 patients; mean age was 63.08 ± 15.17 years, 76.92% were female and 92.31% had at least one cardiovascular risk factor, e.g., BMI = 25 kg/m2 and high blood pressure (61.54% and 53.85%, respectively). The most common type of cardiac tumors were myxomas (69.23%). Around half (46.15%) were incidental; the most frequent symptom was dyspnea (53.85%); 30.77% of the patients were asymptomatic. The most commonly used imaging technique for the diagnosis was transthoracic Doppler echocardiography (69.23%). The agreement between the mean diameters before and after surgery was very high (ICC = 0.807, 95% CI: 0.450 - 0.943).

conclusionsWe describe the features of masses and cysts in the heart (77% female patients) and provide information scarcely available in the literature, e.g., the most frequent cardiovascular risk factors for this population. A case of cardiac leiomyosarcoma and a case of intimal sarcoma of the pulmonary trunk are described, two extremely rare tumors for which there are few described cases.

Indexed as

CystsHeart NeoplasmsHypertensionAgedFemaleHospitals, GeneralHumansMaleMiddle AgedSpain

Identifiers

PMID38146947
PMCPMC10807202
OpenAlexW4390228680

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.