Evidence map›Paper›PMID 37250547›Full record

ArticlePakistan journal of medical sciences

Quantitative evaluation of acute myocardial infarction by feature-tracking cardiac magnetic resonance imaging.

Jun Ye, Wenxia Zong, Xing Wu, Xiaonan Shao, Yue Wu

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Jun YeJun Ye, Department of Radiology, Wuhan No.7 Hospital, Wuhan 430071, Hubei Province, P.R. China.
Wenxia ZongWenxia Zong, Department of Cardiology, Hubei No.3 People's Hospital of Jianghan University, Wuhan 430000, Hubei Province, P.R. China.
Xing WuXing Wu Clinical Laboratory, Xianning Central Hospital, (The First Affiliated Hospital of Hubei University of Science & Technology), Xianning 437100, Hubei Province, P.R. China.
Xiaonan ShaoXiaonan Shao, Department of Radiology, Wuhan No.7 Hospital, Wuhan 430071, Hubei Province, P.R. China.
Yue WuYue Wu, Department of Cardiology, Hubei No.3 People's Hospital of Jianghan University, Wuhan 430000, Hubei Province, P.R. China.
Jianghan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the value of feature-tracking cardiac magnetic resonance (FT-CMR) imaging in the quantitative evaluation of acute myocardial infarction (AMI). Methods: We retrospectively analyzed medical records of patients with acute myocardial infarction (AMI) diagnosed in the Department of Cardiology of Hubei No.3 People's Hospital of Jianghan University from April 2020 to April 2022, who underwent feature-tracking cardiac magnetic resonance (FT-CMR) examination. Based on the electrocardiogram (ECG) findings, patients were divided into ST-elevation myocardial infarction (STEMI) ( Results: The number of LGE-positive segments in the STEMI group was significantly higher than that in the NSTEMI group. The myocardial radial, circumferential and longitudinal strains in the STEMI group were significantly lower than those in the NSTEMI group ( Conclusion: FT-CMR, a non-invasive and rapid method for analyzing myocardial strains, has a high diagnostic value for AMI and should be helpful for the prevention and intervention of ventricular remodeling after myocardial infarctions.

Indexed as

Acute myocardial infarctionFeature-tracking cardiac magnetic resonanceLate gadolinium enhancementST-elevation myocardial infarction

Identifiers

PMID37250547
PMCPMC10214789
OpenAlexW4361003892

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.