Evidence map›Paper›PMID 41375870›Full record

ReviewJournal of clinical medicine2025

Management of Calcified Coronary Lesions-A Review of Plaque Modification Methods.

Piotr Kałmucki, Paulina Skonieczna, Artur Baszko, Tomasz Siminiak

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Piotr KałmuckiDepartment of Cardiovascular Diseases Prevention, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0002-0485-6661
Paulina SkoniecznaHCP Medical Centre, 61-485 Poznan, Poland.ORCID 0000-0001-6391-2611
Artur Baszko2nd Department of Cardiology, Poznan University of Medical Sciences, 61-485 Poznan, Poland.
Tomasz SiminiakDepartment of Cardiovascular Diseases Prevention, Poznan University of Medical Sciences, 61-701 Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease remains the leading cause of cardiovascular morbidity and mortality worldwide, affecting millions of individuals each year. Coronary artery calcification is a common finding in patients with advanced atherosclerosis and represents an important determinant of procedural success during percutaneous coronary intervention. Severe calcifications are associated with increased procedural complexity and elevated complication rates due to challenging lesion preparation, suboptimal stent expansion, and less favorable long-term clinical results. This review summarizes the present understanding of vascular calcification mechanisms, discusses relevant diagnostic imaging modalities, and describes current plaque modification techniques used to optimize procedural outcomes. Methods such as rotational, orbital, and laser atherectomy, as well as specialized balloon technologies and intravascular lithotripsy, are discussed with regard to their mechanisms of action, clinical effectiveness, and safety profiles. Particular emphasis is placed on the integration of advanced imaging for precise lesion assessment, improved patient selection, and the use of combination strategies in complex cases. Finally, emerging technologies and future directions are highlighted, with the goal of enhancing procedural safety, device deliverability, and treatment outcomes in the evolving field of interventional cardiology.

Indexed as

coronary artery atherectomycoronary artery calcificationintravascular imagingpercutaneous coronary intervention

Identifiers

PMID41375870
PMCPMC12693342

What OpenQuestion holds

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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.