Evidence map›Paper›PMID 36969525›Full record

ArticleEuropean journal of case reports in internal medicine2023

EPIPERICARDIAL FAT NECROSIS.

Yumi Otaka, Yukinori Harada, Ren Kawamura, Taro Shimizu

Open access · goldAbstract read
In one paragraph

Article in European journal of case reports in internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Yumi OtakaDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Mibu, Tochigi 321-0293, Japan.
Yukinori HaradaDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Mibu, Tochigi 321-0293, Japan.
Ren KawamuraDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Mibu, Tochigi 321-0293, Japan.
Taro ShimizuDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Mibu, Tochigi 321-0293, Japan.
Dokkyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Epipericardial fat necrosis (EFN) is a relatively rare benign disease that causes acute chest pain. Case Description: A woman in her 20s presented with acute left shoulder and epigastric pain. One day before presentation, she had visited a cardiologist and an acute coronary syndrome had been ruled out. The pain worsened with deep inspiration. Chest computed tomography (CT) showed a soft-tissue attenuation lesion containing a fatty centre located in the epipericardial fat at the left cardiophrenic angle. Hence, EFN was diagnosed and the pain was resolved with loxoprofen. The lesion had disappeared on a follow-up chest CT scan. Discussion: EFN is a rare benign disease that causes acute chest pain. Approximately 70-90% of EFN cases are misdiagnosed by clinicians as other diseases. Conclusion: In patients with acute chest pain, the correct diagnosis of EFN avoids unnecessary invasive investigations and reassures patients. LEARNING POINTS: Patients with epipericardial fat necrosis typically present with acute pleural chest pain without any associated symptoms.Characteristic CT findings of the encapsulated fatty pericardial lesion with a surrounding inflammatory reaction are key for the diagnosis of epipericardial fat necrosis.The correct diagnosis of epipericardial fat necrosis in patients with acute chest pain reassures them and avoids unnecessary invasive investigation.

Indexed as

chest painEpipericardial fat necrosismediastinal tumour

Identifiers

PMID36969525
PMCPMC10035614
OpenAlexW4323543844

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.