Evidence map›Paper›PMID 37255060›Full record

ArticleEinstein (Sao Paulo, Brazil)2023

Epipericardial fat necrosis as a differential diagnosis of acute chest pain: a case report and algorithm proposal for diagnostic approach.

Tarso Augusto Duenhas Accorsi, Milena Ribeiro Paixão, Erick de Moraes Santos Piorino, Karine De Amicis, Karen Francine Köhler, José Leão de Souza

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Fundamentals of Acute Pericarditis: State of the Art.Arquivos brasileiros de cardiologia · 2026
    Review
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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

6 authors at 1 institution in 1 country.

Tarso Augusto Duenhas AccorsiHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-8023-3466
Milena Ribeiro PaixãoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-1565-3915
Erick de Moraes Santos PiorinoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-1278-0932
Karine De AmicisHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-9936-2436
Karen Francine KöhlerHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-8348-4623
José Leão de SouzaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-6017-7682
Hospital Israelita Albert Einstein · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chest pain is a frequent, potentially life-threatening condition in the emergency department and requires immediate investigation and treatment. This case report highlights a rare differential diagnosis of pleuritic chest pain: epipericardial fat necrosis. A 29-year-old man presented with normal clinical evaluation, electrocardiography, point-of-care ultrasound, and unremarkable laboratory tests. The initial hypothesis was acute pleuritis. Chest radiography revealed peri-cardiac nonspecific findings, and computed tomography revealed epicardial fat necrosis. Despite the rarity of this condition, accurate diagnosis allows for better practices. An algorithm for a diagnostic approach is proposed.

Indexed as

Fat NecrosisAdultChest PainDiagnosis, DifferentialEmergency Service, HospitalHumansMaleUltrasonography

Identifiers

PMID37255060
PMCPMC10219624
OpenAlexW4378591209

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.