Evidence map›Paper›PMID 35154358›Full record

ArticleComputational and mathematical methods in medicine2022

Distribution Characteristics of ST-Segment Elevation Myocardial Infarction and Non-ST-Segment Elevation Myocardial Infarction Culprit Lesion in Acute Myocardial Infarction Patients Based on Coronary Angiography Diagnosis.

Guanglin Cao, Zheng Zhao, Zesheng Xu

RetractedOpen access · hybridAbstract readComparative StudyRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Guanglin Cao *Department of Cardiovascular Disease, Cangzhou Central Hospital of Tianjin Medical University, Tianjin 300000, China.ORCID https://orcid.org/0000-0002-8582-5604
Zheng Zhao *Department of Cardiovascular Disease, First Central Clinical College of Tianjin Medical University, Tianjin 300000, China.ORCID https://orcid.org/0000-0003-1800-8564
Zesheng XuDepartment of Cardiovascular Disease, Cangzhou Central Hospital of Tianjin Medical University, Tianjin 300000, China.ORCID https://orcid.org/0000-0002-9732-7274
Cangzhou Central Hospital · CNTianjin First Center Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research was aimed at exploring the application value of coronary angiography (CAG) based on a convolutional neural network algorithm in analyzing the distribution characteristics of ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) culprit lesions in acute myocardial infarction (AMI) patients.

Indexed as

Neural Networks, ComputerAdultAgedAged, 80 and overAlgorithmsAngiography, Digital SubtractionComputational BiologyCoronary AngiographyCoronary VesselsDiagnosis, DifferentialEarly DiagnosisElectrocardiographyFemaleHumansMaleMiddle Aged

Identifiers

PMID35154358
PMCPMC8828330
OpenAlexW4210322968

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.