Evidence map›Paper›PMID 38094123›Full record

ArticleFrontiers in cardiovascular medicine2023

Development and validation of a nomogram to predict the five-year risk of revascularization for non-culprit lesion progression in STEMI patients after primary PCI.

Feng Dai, Xianzhi Xu, Chunxue Zhou, Cheng Li, Zhaoxuan Tian, Zhaokai Wang, Shuping Yang, Gege Liao, Xiangxiang Shi, Lili Wang and 4 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Feng Dai *Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Xianzhi Xu *Department of Oral Medicine, School of Stomatology, Xuzhou Medical University, Xuzhou, China.
Chunxue ZhouDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Cheng LiDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zhaoxuan TianDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zhaokai WangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Shuping YangDepartment of General Practice & Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Gege LiaoDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Xiangxiang ShiDepartment of General Practice & Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Lili WangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Dongye LiDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Xiancun HouDepartment of Nuclear Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Junhong ChenDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Tongda XuDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute ST-segment elevation myocardial infarction (STEMI) patients after primary PCI were readmitted for revascularization due to non-culprit lesion (NCL) progression. Objective: To develop and validate a nomogram that can accurately predict the likelihood of NCL progression revascularization in STEMI patients following primary PCI. Methods: The study enrolled 1,612 STEMI patients after primary PCI in our hospital from June 2009 to June 2018. Patients were randomly divided into training and validation sets in a 7:3 ratio. The independent risk factors were determined by LASSO regression and multivariable logistic regression analysis. Multivariate logistic regression analysis was utilized to develop a nomogram, which was then evaluated for its performance using the concordance statistics, calibration plots, and decision curve analysis (DCA). Results: The nomogram was composed of five predictors, including age (OR: 1.007 95% CI: 1.005-1.009, Conclusion: A convenient and accurate nomogram was developed and validated for predicting the occurrence of NCL progression revascularization in STEMI patients after primary PCI.

Indexed as

nomogramnon-culprit lesionpercutaneous coronary interventionprimary PCIST-segment elevation myocardial infarction

Identifiers

PMID38094123
PMCPMC10716459

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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.