Evidence map›Paper›PMID 33362570›Full record

ArticleFrontiers in physiology2020

Comparison of Left Ventricular Global Strain in Anterior and Non-anterior Wall Myocardial Infarction With CMR Tissue Tracking.

Shuhao Li, Lei Zhao, Aijia Lu, Jie Tian, Lianggeng Gong, Xiaohai Ma

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. 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 26% 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, 7 citations in OpenAlex.

  1. Anterior STEMI associated with decreased strain in remote cardiac myocardium.The international journal of cardiovascular imaging · 2022
    Trial
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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

6 authors at 3 institutions in 1 country.

Shuhao LiDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Lei ZhaoDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Aijia LuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jie TianDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Lianggeng GongDepartment of Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Xiaohai MaDepartment of Interventional Therapy, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Anzhen Hospital · CNSecond Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Left ventricular (LV) myocardial dysfunction occurs after myocardial infarction (MI) is associated with the location, infarct size, and transmurality degrees of MI. The myocardial strain is a sensitive index used for the quantification of myocardium dysfunction. This study used Tissue-Tracking to evaluate whether the different location of MI would result in different myocardial dysfunction. One hundred patients diagnosed with MI who underwent cardiovascular magnetic resonance examination were included. The tissue-tracking indices, LV global radial strain (GRS), global circumferential strain (GCS), global longitudinal strain (GLS), and the infarct size (IS,% of LV mass) were quantified. There were 42 cases of anterior wall MI (AWMI) and 58 cases of non-anterior wall MI (NAWMI). The GCS of AWMI was significantly lower than that of NAWMI (

Indexed as

anterior wall ventriclecardiovascular magnetic resonanceleft ventricularmyocardium infarctiontissue tracking

Identifiers

PMID33362570
PMCPMC7758347
OpenAlexW3112949702

What OpenQuestion holds

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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.