Evidence map›Paper›PMID 33479786›Full record

ReviewThe international journal of cardiovascular imaging2021

Inflammation as a determinant of healing response after coronary stent implantation.

Dorota Ochijewicz, Mariusz Tomaniak, Grzegorz Opolski, Janusz Kochman

Open access · hybridAbstract readReview
In one paragraph

Review in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
3.8field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  11. Intrastent Restenosis: A Comprehensive Review.International journal of molecular sciences · 2024
    Review
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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

4 authors at 1 institution in 1 country.

Dorota Ochijewicz1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Str., 02-097, Warsaw, Poland.
Mariusz Tomaniak1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Str., 02-097, Warsaw, Poland. mariusz.tomaniak@wum.edu.pl.ORCID http://orcid.org/0000-0003-0966-3313
Grzegorz Opolski1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Str., 02-097, Warsaw, Poland.
Janusz Kochman1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Str., 02-097, Warsaw, Poland.
Medical University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease remains the leading cause of death and morbidity worldwide. Inflammation plays an important role in the development of atherosclerosis and is associated with adverse clinical outcomes in patients after percutaneous coronary interventions. Data on stent elements that lead to excessive inflammatory response, proper identification of high-risk patients, prevention and treatment targeting residual inflammatory risk are limited. This review aims to present the role of inflammation in the context of evolving stent technologies and appraise the potential imaging modalities in detection of inflammatory response and anti-inflammatory therapies.

Indexed as

StentsAnti-Inflammatory AgentsCoronary Artery DiseaseCoronary VesselsHumansInflammationInflammation MediatorsPercutaneous Coronary InterventionRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeWound HealingAnti-Inflammatory AgentsInflammation MediatorsCoronary computed tomography angiographyHealing responseInflammationOptical coherence tomography

Identifiers

PMID33479786
PMCPMC7969567
OpenAlexW3121551137

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.