Investigating Pericarditis Diagnosis in a Tertiary Pericardial Center

Thirty-five percent of patients referred to the pericardial center are misdiagnosed with pericarditis. Inflammatory markers and late gadolinium enhancement on magnetic resonance imaging can help refine the diagnosis. COVID-19 infection is associated with higher rates of misdiagnosis.

Authors

Institutions

Publication Details

Journal
JACC Advances
Published
2025-11-20
DOI
https://doi.org/10.1016/j.jacadv.2025.102335
Citations
1
Primary Topic
Pericarditis and Cardiac Tamponade
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating Pericarditis Diagnosis in a Tertiary Pericardial Center

Abdel Hadi El Hajjar, Zoha Majeed, Alveena Batool Syed, Ziad Zalaquett et al.
1 citations
JACC Advances
Pericarditis and Cardiac Tamponade
1.39
article

Investigating Pericarditis Diagnosis in a Tertiary Pericardial Center

Abdel Hadi El Hajjar, Zoha Majeed, Alveena Batool Syed, Ziad Zalaquett, Felix Berglund, Muhammad Ehsan, Akiva Rosenzveig, Issam Motairek, Tom Kai Ming Wang, Jibran Ikram, Astefanos Al-Dalakta, Mary Heine, M Blasco Villalonga, Allan Klein
article en
1 citations

Abstract

Thirty-five percent of patients referred to the pericardial center are misdiagnosed with pericarditis. Inflammatory markers and late gadolinium enhancement on magnetic resonance imaging can help refine the diagnosis. COVID-19 infection is associated with higher rates of misdiagnosis.

JACC AdvancesVol. 4(12)
Cleveland Clinic (US)
Openalex Percentile: Top 13%
Pericarditis and Cardiac Tamponade
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.