Evidence map›Paper›PMID 39537742›Full record

ArticleScientific reports2024

Analysis of influential factors of stent-related adverse events after percutaneous coronary intervention more than twice: a single-center retrospective study.

Jing Li, Yu Liang, Pengfei Chen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jing LiCardiovascular Internal Medicine Department, Affiliated Hospital of Inner Mongolia Medical University, No. 1 Channel Street, Hohhot, 010059, Inner Mongolia, China. dpcddd@163.com.
Yu LiangInformation Center, Affiliated Hospital of Inner Mongolia Medical University, No. 1 Channel Street, Hohhot, 010059, Inner Mongolia, China.
Pengfei ChenCardiovascular Internal Medicine Department, Affiliated Hospital of Inner Mongolia Medical University, No. 1 Channel Street, Hohhot, 010059, Inner Mongolia, China.

Funding

National Natural Science Foundation of China 82260075
6 · The paper itself

Abstract

We aimed to assess the factors affecting patient outcomes in multiple stent placements over a 10-year period. The single-center study included 1,200 patients who had multiple stents implanted at least twice or more. Participants were divided into the adverse outcomes as endpoints (n = 204 [17%]) and control groups. Univariate and multivariate analyses of stent-related adverse events risk during 10 years and logistic regression analysis of the adverse outcomes risk factors were performed. Univariate analysis revealed the impact of acute coronary syndrome (ACS), diabetes mellitus, hypertriglyceridemia, cumulative lesions in the left anterior descending (LAD) and left circumflex (LCX) arteries, number of stents in the LAD, LCX, and right coronary artery (RCA), presence of multiple coronary artery lesions, total number of stents used, and intervals between the first and second and between the fourth and fifth implantations. For secondary stent implantation, significant factors in univariate analysis included the number of LAD and LCX lesions, stents in LAD, LCX, and RCA, extent of coronary lesions, ACS, hypertension, diabetes, and total stent count. Many factors affect the outcomes in this patient group over time. Reducing the need for frequent percutaneous coronary intervention and considering the number of stents implanted are essential to improving outcomes.

Indexed as

Percutaneous Coronary InterventionStentsAcute Coronary SyndromeAgedCoronary Artery DiseaseFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTreatment Outcome

Identifiers

PMID39537742
PMCPMC11561268

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.