Evidence map›Paper›PMID 39077193›Full record

ReviewReviews in cardiovascular medicine2022

Defining Key Features of Complex Coronary Lesions: An Evidence Based Review of Clinical Practice. Part II: Chronic Total Occlusions, Graft Interventions, In-Stent Restenosis, and Antithrombotic Strategies.

Daniel Feldman, Frans Beerkens, Johny Nicolas, Mohan Satish, Davis Jones, Mehmet Demirhan, George Dangas

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Daniel FeldmanThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA.
Frans BeerkensThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA.
Johny NicolasThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA.
Mohan SatishThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA.
Davis JonesThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA.
Mehmet DemirhanDepartment of Medicine, Elmhurst Hospital Center, Queens, NY 11373, USA.
George DangasThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6574, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinicians have long recognized that certain features of coronary artery lesions increase the complexity of intervention. Complex lesions are associated with worse cardiovascular outcomes and a higher risk of subsequent ischemic events. These lesions are categorized by their angiographic features. These features include bifurcation lesions, left main coronary artery disease, calcified lesions, in-stent restenosis, chronic total occlusions and graft interventions. This two-part review aims to highlight the current evidence in the percutaneous management of these lesions. Part two of this review focuses on the indications to treat chronic total occlusions, interventions of failed grafts, tools used to treat in-stent restenosis, as well as antithrombotic strategies.

Indexed as

chronic total occlusioncomplex percutaneous interventiondual antiplateletin-stent restenosissaphenous vein graft

Identifiers

PMID39077193
PMCPMC11273809

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.