Evidence map›Paper›PMID 32605709›Full record

ReviewDeutsches Arzteblatt international2020

Coronary Stent Thrombosis- Predictors and Prevention.

Helen Ullrich, Thomas Münzel, Tommaso Gori

Abstract readReview
In one paragraph

Review in Deutsches Arzteblatt international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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

3 authors.

Helen UllrichCardiology Center, Cardiology I, Universitiy Medical Center, Johannes Gutenberg University Mainz,German Center of Cardiovascular Research (Deutsches Zentrum für Herz-Kreislauf-Forschung,DZHK), Rhine-Main.
Thomas Münzel
Tommaso Gori

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStent thrombosis (ST) is a dreaded complication after stent implantation and is associated with a mortality between 5% and 45%. The mechanisms by which ST arises are complex. Because of the seriousness of this situation, all phy - sicians should have at least basic knowledge of it. In this article, we present the risk factors for ST and discuss some innovative approaches to its treatment.

methodsThis review is based on pertinent articles retrieved by a selective search in PubMed, and on current international guidelines and expert recommendations.

resultsThe frequency of ST has been markedly lowered by technical advances in coronary stenting and by the implementation of modern implantation techniques, including the introduction of coverage with dual antiplatelet therapy (DAPT). Both patient-related risk factors and procedural aspects can elevate the risk of ST. The independent risk factors for ST include premature termination of DAPT (hazard ratio [HR] 26.8; 95% confidence interval [8.4; 85.4]; p <0.0001), malignant disease (odds ratio [OR]: 17.45; [4.67; 65.26]; p <0.0001), and diabetes mellitus (OR: 3.14; [1.33; 7.45]; p = 0.0093). In comparison to angiographically guided procedures, the use of intracoronary imaging techniques in patients with acute coronary syndrome lowers the frequency of ST (0.6% versus 1.2%; p = 0.005). These techniques enable the detection of many findings in the coronary arteries that are associated with the development of ST. In such cases, countermeasures such as secondary stent dilatation or prolongation of DAPT can help prevent ST.

conclusionAs the pathophysiology of ST is multifactorial, research in this area presents a special challenge. Prospective clinical trials will be needed to determine whether the systematic use of imaging techniques can lower the frequency of ST.

Indexed as

Coronary ThrombosisHumansRisk FactorsStents

Identifiers

PMID32605709
PMCPMC7358792

What OpenQuestion holds

Textmetadata
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.