Evidence map›Paper›PMID 39057644›Full record

ReviewJournal of cardiovascular development and disease2024

Coronary Artery Calcium and Aging: Physiological Basis, Assessment, and Treatment Options in Percutaneous Coronary Intervention.

Mohamed Abdirashid, Umberto Barbero, Chiara Cavallino, Ludovica Maltese, Elodi Bacci, Danilo Reale, Giorgio Marengo, Michele De Benedictis, Francesco Rametta, Fabrizio Ugo

Abstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 2024. 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

10 authors.

Mohamed AbdirashidSant'Andrea Hospital, 13100 Vercelli, Italy.
Umberto BarberoSantissima Annunziata Hospital, 12038 Savigliano, Italy.ORCID 0000-0002-7082-4262
Chiara CavallinoSant'Andrea Hospital, 13100 Vercelli, Italy.ORCID 0000-0001-5016-6250
Ludovica MalteseSant'Andrea Hospital, 13100 Vercelli, Italy.ORCID 0000-0003-3085-1642
Elodi BacciSant'Andrea Hospital, 13100 Vercelli, Italy.
Danilo RealeSant'Andrea Hospital, 13100 Vercelli, Italy.
Giorgio MarengoSantissima Annunziata Hospital, 12038 Savigliano, Italy.
Michele De BenedictisSantissima Annunziata Hospital, 12038 Savigliano, Italy.
Francesco RamettaSant'Andrea Hospital, 13100 Vercelli, Italy.
Fabrizio UgoSant'Andrea Hospital, 13100 Vercelli, Italy.ORCID 0000-0002-0504-2715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery calcification is a complex anatomical and histological pathology with different pathways that contribute to calcium deposit and calcification progression. As part of the atherosclerotic process, extensive calcifications are becoming more common and are associated with poorer PCI outcomes if not properly addressed. Since no drug has shown to be effective in changing this process once it is started, proper knowledge of the underlying pathogenesis and how to diagnose and manage it is essential in contemporary coronary intervention. Atherosclerosis is a pandemic disease, quickly spreading across the world and not limited anymore to the industrialized Western world. In this paper, we review the role of intracoronary imaging and the main technologies available and propose a simple and rational algorithm for the choice of a preferential first strategy in the treatment of severely calcified coronary atherosclerosis, followed by three emblematic cases on how we successively applied it.

Indexed as

calciumcoronary artery diseasepercutaneous coronary intervention

Identifiers

PMID39057644
PMCPMC11277957

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.