Evidence map›Paper›PMID 37842458›Full record

ReviewCureus2023

Identifying the Incidence, Predictors, Outcomes, and Prevention of Stent Thrombosis (ST) in Post-percutaneous Coronary Revascularization Patients With Drug-Eluting Stents (DES): A Systematic Review.

Mehvish Sohail, Priyansh Patel, Sidharth Midha, Surmai Shukla, Divyanshu Dhamija, Adedamola O Bello, Asma A Khan, Sai Dheeraj Gutlapalli, Sathish Venugopal

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. 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
1.5field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
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

9 authors at 5 institutions in 4 countries.

Mehvish SohailDepartment of Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Priyansh PatelDepartment of Internal Medicine, Medical College Baroda, Baroda, IND.
Sidharth MidhaDepartment of Radiology, Bharati Vidyapeeth University, Pune, IND.
Surmai ShuklaDepartment of Internal Medicine, Qingdao University College of Medical Science, Qingdao, CHN.
Divyanshu DhamijaDepartment of General Medicine, Government Medical College Amritsar, Amritsar, IND.
Adedamola O BelloDepartment of Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Asma A KhanDepartment of General Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Sai Dheeraj GutlapalliDepartment of Internal Medicine, Richmond University Medical Center, Staten Island, USA.
Sathish VenugopalDepartment of Neurology, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
St. Martinus University · CWQingdao University · CNCalifornia Institute of Behavioral Neurosciences and Psychology (United States) · USGovernment Medical College, Amritsar · INRichmond University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stent thrombosis (ST) is a rare but catastrophic event to happen to a stented coronary artery. The incidence of ST has greatly been reduced after the advent of modern drug-eluting stent (DES) implants, which have become the most preferred treatment option in the stenting category for coronary artery disease (CAD). Although the risk reduction by newer category implant provides substantial benefits, the possibility of thrombosis still exists mostly during the early stage of DES implantation. The development of ST after percutaneous coronary intervention (PCI) can be predicted by multiple factors, but advancements in early diagnostic techniques and modified stent types have greatly reduced the occurrence of this complication. Mortality, which is one of the complications of ST, is primarily influenced by patient-related factors such as incomplete treatment duration of dual antiplatelet therapy (DAPT). The duration of DAPT after DES implantation in patients with acute coronary syndrome (ACS) is determined based on individual characteristics, mainly considered in view of bleeding or ischemia risk. Risk evaluation systems like DAPT/precise-DAPT scores help tailor and personalize the duration of DAPT for each individual patient. This systematic review contains pertinent articles extracted from the PubMed database. We retrieved articles from various study categories, encompassing publications from the period spanning 2014 to 2022. Our analysis highlighted results from studies investigating different aspects contributing to ST development. The most favorable prevention option was the use of customized DAPT intervention based on patient-specific predictable factors. Several complications associated with ST were identified, including recurrent ST, major adverse cardiovascular events (MACE) encompassing all-cause mortality (including cardiac and non-cardiac mortality), cerebrovascular accidents (CVA) or transient ischemic attacks (TIA), hospitalization due to heart failure, and myocardial infarction requiring revascularization. Mortality was also observed as a significant outcome. The umbrella term of ST includes multiple causative factors. Although DES has improved patient survival rates vastly with its usage, careful risk factor assessment and required follow-up, in each individual being stented, further guarantee a more promising reduction in late adverse outcomes.

Indexed as

coronary artery disease (cad)drug eluting stents (des)dual-antiplatelet therapy (dapt)post pcistent thrombos

Identifiers

PMID37842458
PMCPMC10571068
OpenAlexW4386713274

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.