Evidence map›Paper›PMID 41136179›Full record

ReviewJACC. Advances2025

Post-Cardiac Injury Syndrome: A Paradigm Shift in Diagnosis and Management.

Nicholas M Platek, Ian Persits, Mohamed Khayata, Osamah Z Badwan, Joseph El Roumi, Allan L Klein

Abstract readReview
In one paragraph

Review in JACC. Advances, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Evaluation and Management of Post-Cardiotomy Syndrome.Methodist DeBakey cardiovascular journal · 2026
    Review
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.

Nicholas M PlatekDepartment of Internal Medicine, Cleveland Clinic, Cleveland, Ohio, USA.
Ian PersitsDepartment of Internal Medicine, Cleveland Clinic, Cleveland, Ohio, USA.
Mohamed KhayataCenter for the Diagnosis and Treatment of Pericardial Diseases, Section of Cardiovascular Imaging, Department of Cardiovascular Medicine Heart Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Osamah Z BadwanCardiovascular Medicine Department, Cleveland Clinic, Cleveland, Ohio, USA.
Joseph El RoumiCardiovascular Medicine Department, Cleveland Clinic, Cleveland, Ohio, USA.
Allan L KleinCenter for the Diagnosis and Treatment of Pericardial Diseases, Section of Cardiovascular Imaging, Department of Cardiovascular Medicine Heart Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA. Electronic address: kleina@ccf.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-cardiac injury syndrome (PCIS) refers to a group of inflammatory pericardial syndromes that arise after cardiac injury, encompassing post-myocardial infarction syndrome, post-pericardiotomy syndrome, and post-traumatic pericarditis. PCIS has evolved significantly over recent years, transitioning from a rare post-myocardial infarction syndrome to a more common phenomenon stemming from the rise of both surgical and transcatheter cardiac procedures. The increasing prevalence of these procedures makes understanding and managing PCIS an important clinical consideration. Additionally, in rare instances of post-MI pericarditis, balancing the reduction of inflammation while maintaining structural cardiac integrity for healing presents unique therapeutic challenges. In this review, we aim to provide a comprehensive overview of PCIS, focusing on its most common manifestations, key imaging modalities for diagnosis, and novel therapeutic strategies.

Indexed as

multimodality imagingpericardial diseasepericarditispost-cardiac injury syndrome

Identifiers

PMID41136179
PMCPMC12791863

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.