Evidence map›Paper›PMID 39077492›Full record

ReviewReviews in cardiovascular medicine2023

Contribution of the Optical Coherence Tomography in Calcified Lesions.

Nicolas Combaret, Nicolas Amabile, Benjamin Duband, Pascal Motreff, Géraud Souteyrand

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

5 authors.

Nicolas CombaretCardiology Department, Clermont-Ferrand University Hospital, CNRS, Université d'Auvergne, 63000 Clermont-Ferrand, France.
Nicolas AmabileCardiology Department, Institut Mutualiste Montsouris, 75014 Paris, France.
Benjamin DubandCardiology Department, Clermont-Ferrand University Hospital, CNRS, Université d'Auvergne, 63000 Clermont-Ferrand, France.
Pascal MotreffCardiology Department, Clermont-Ferrand University Hospital, CNRS, Université d'Auvergne, 63000 Clermont-Ferrand, France.
Géraud SouteyrandCardiology Department, Clermont-Ferrand University Hospital, CNRS, Université d'Auvergne, 63000 Clermont-Ferrand, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery calcification is a complex process found predominantly in the elderly population. Coronary angiography frequently lacks sensitivity to detect, evaluate and quantify these lesions. Yet calcified lesions are considered stable, it remains associated with a higher rate of peri procedural complications during percutaneous coronary intervention (PCI) including an increased risk of stent under expansion and struts mal apposition leading to poor clinical outcome. Intracoronary imaging (Intravascular Ultra Sound (IVUS) and Optical Coherence Tomography (OCT)) allows better calcified lesions identification, localization within the coronary artery wall (superficial or deep calcifications), quantification. This lesions characterization allows a better choice of dedicated plaque-preparation tools (modified balloons, rotational or orbital atherectomy, intravascular lithotripsy) that are crucial to achieve optimal PCI results. OCT could also assess the impact of these tools on the calcified plaque morphology (plaque fracture, burring effects…). An OCT-guided tailored PCI strategy for calcified lesions still requires validation by clinical studies which are currently underway.

Indexed as

coronary calcificationintravascular lithotripsyoptical coherence tomographyoptical frequency domain imaging - rotational atherectomyorbital atherectomy

Identifiers

PMID39077492
PMCPMC11263993

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.