Evidence map›Paper›PMID 37920180›Full record

ReviewFrontiers in cardiovascular medicine2023

Invasive imaging modalities in a spontaneous coronary artery dissection: when "believing is seeing".

Zlatko Mehmedbegović, Igor Ivanov, Milenko Čanković, Zoran Perišić, Tomislav Kostić, Bojan Maričić, Gordana Krljanac, Branko Beleslin, Svetlana Apostolović

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Zlatko MehmedbegovićFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Igor IvanovFaculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Milenko ČankovićFaculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Zoran PerišićFaculty of Medicine, University of Niš, Niš, Serbia.
Tomislav KostićFaculty of Medicine, University of Niš, Niš, Serbia.
Bojan MaričićDivision of Interventional Cardiology, University Clinical Center Niš, Niš, Serbia.
Gordana KrljanacFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Branko BeleslinFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Svetlana ApostolovićFaculty of Medicine, University of Niš, Niš, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous coronary artery dissection (SCAD) is a rare but increasingly recognized cause of acute coronary syndrome (ACS) with recent advancements in cardiac imaging facilitating its identification. However, SCAD is still often misdiagnosed due to the absence of angiographic hallmarks in a significant number of cases, highlighting the importance of meticulous interpretation of angiographic findings and, when necessary, additional usage of intravascular imaging to verify changes in arterial wall integrity and identify specific pathoanatomical features associated with SCAD. Accurate diagnosis of SCAD is crucial, as the optimal management strategies for patients with SCAD differ from those with atherosclerotic coronary disease. Current treatment strategies favor a conservative approach, wherein intervention is reserved for cases with persistent ischemia, patients with high-risk coronary anatomy, or patients with hemodynamic instability. In this paper, we provide a preview of invasive imaging modalities and classical angiographic and intravascular imaging hallmarks that may facilitate proper SCAD diagnosis.

Indexed as

diagnostic algorithmintravascular imagingIVUSOCTSCAD

Identifiers

PMID37920180
PMCPMC10618678

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.