Evidence map›Paper›PMID 38137612›Full record

ArticleJournal of clinical medicine2023

Feature-Tracking-Derived Strain Analysis for Identification of Subendocardium-Involved Late Gadolinium Enhancement in Load-Induced Left Ventricular Hypertrophy: A Multicenter Study of Cardiac Magnetic Resonance Data.

Ying Zhong, Qian Long, Mu Zeng, Lianming Wu, Liang Guo, Guan Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2023. 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
0.2field-weighted citation impact, top 39% 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, 1 citations in OpenAlex.

  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

6 authors at 4 institutions in 1 country.

Ying ZhongDepartment of Radiology, The First Hospital of China Medical University, Shenyang 110001, China.
Qian LongDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
Mu ZengDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
Lianming WuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200001, China.
Liang GuoDepartment of Cardiovascular Medicine, The First Hospital of China Medical University, Shenyang 110001, China.
Guan WangDepartment of Radiology, The First Hospital of China Medical University, Shenyang 110001, China.
First Hospital of China Medical University · CNCentral South University · CNRenji Hospital · CNSecond Xiangya Hospital of Central South University · CN

Funding

Natural Science Foundation of Liaoning Province 2022-BS-143Natural Science Foundation of Shenyang City 22-321-33-31
6 · The paper itself

Abstract

backgroundSubendocardium-involved late gadolinium enhancement (SILGE) is a significant predictor of poor prognosis in patients with load-induced left ventricular hypertrophy (LVH).

objectivesThis multicenter study aimed to investigate whether the diagnostic performance of cardiac magnetic resonance feature-tracking (CMR-FT)-derived strain analysis for detecting subtle subendocardial injury would be influenced by its load dependence in patients with load-induced LVH.

methodsA total of 149 patients with load-induced LVH were recruited from three centers and underwent enhanced CMR imaging. The patients were divided into two groups based on the presence or absence of SILGE on CMR (SILGE

resultsThe LV systolic pressure (LVSP) and LV end-diastolic pressure (LVEDP) in the SILGE

conclusionDespite the load dependency of CMR-FT-derived strain analysis, the GLS exhibits reasonable accuracy in the identification of SILGE and can potentially serve as a feasible alternative for detecting subendocardial involvement in patients with load-induced LVH who are contraindicated for LGE.

Indexed as

CMR-FTload-induced LVHSILGEstrain analysis

Identifiers

PMID38137612
PMCPMC10744239
OpenAlexW4389441198

What OpenQuestion holds

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LicenceCC BY
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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.