Evidence map›Paper›PMID 31666577›Full record

ArticleScientific reports2019

Late Gadolinium Enhancement Predicts Improvement in Global Longitudinal Strain after Aortic Valve Replacement in Aortic Stenosis.

Tsuyoshi Fujimiya, Masumi Iwai-Takano, Takashi Igarashi, Hiroharu Shinjo, Keiichi Ishida, Shinya Takase, Hitoshi Yokoyama

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
0.3field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 1 institution in 1 country.

Tsuyoshi FujimiyaDepartment of Cardiovascular Surgery, Fukushima Medical University, Fukushima, Japan. tuyoshif@fmu.ac.jp.
Masumi Iwai-TakanoDepartment of Cardiovascular Surgery, Fukushima Medical University, Fukushima, Japan.
Takashi IgarashiDepartment of Cardiovascular Surgery, Fukushima Medical University, Fukushima, Japan.
Hiroharu ShinjoDepartment of Cardiovascular Surgery, Fukushima Medical University, Fukushima, Japan.
Keiichi IshidaDepartment of Cardiovascular Surgery, Fukushima Medical University, Fukushima, Japan.
Shinya TakaseDepartment of Cardiovascular Surgery, Fukushima Medical University, Fukushima, Japan.
Hitoshi YokoyamaDepartment of Cardiovascular Surgery, Fukushima Medical University, Fukushima, Japan.
Fukushima Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial fibrosis, as detected by late gadolinium enhancement (LGE) magnetic resonance imaging (MRI), is related to mortality after aortic valve replacement (AVR). This study aimed to determine whether LGEMRI predicts improvement in global longitudinal strain (GLS) after AVR in patients with severe aortic stenosis (AS). Twenty-nine patients with severe AS who were scheduled to undergo AVR were enrolled. Two-dimensional echocardiography and contrast-enhanced MRI were performed before AVR. GLS and LGEcore (g: > 5 SD of normal area), LGEgray (g: 2-5 SD), and LGEcore+gray (g) were measured. One year after AVR, GLS were examined by echocardiography to assess improvement in LV function. Preoperatively, GLS correlated with LGEcore (g) (r

Indexed as

AgedAortic ValveAortic Valve StenosisCardiomyopathiesContrast MediaEchocardiographyFemaleGadoliniumHeart Valve ProsthesisHeart Valve Prosthesis ImplantationHumansMagnetic Resonance ImagingMaleMiddle AgedVentricular Function, LeftContrast MediaGadolinium

Identifiers

PMID31666577
PMCPMC6821836
OpenAlexW2982403165

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.