Evidence map›Paper›PMID 34840229›Full record

ArticleInternal medicine (Tokyo, Japan)2022

Usefulness of Cardiovascular Magnetic Resonance Imaging in a Patient with Cardiac Involvement of Systemic Sclerosis.

Shingo Ota, Motoki Taniguchi, Yosuke Katayama, Yuichi Ozaki, Keisuke Satogami, Yasushi Ino, Naoki Yamamoto, Koji Onoda, Atsushi Tanaka

Open access · diamondAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 78% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 1 institution in 1 country.

Shingo OtaDepartment of Cardiovascular Medicine, Shingu Municipal Medical Center, Japan.
Motoki TaniguchiDepartment of Cardiovascular Medicine, Shingu Municipal Medical Center, Japan.
Yosuke KatayamaDepartment of Cardiovascular Medicine, Shingu Municipal Medical Center, Japan.
Yuichi OzakiDepartment of Cardiovascular Medicine, Shingu Municipal Medical Center, Japan.
Keisuke SatogamiDepartment of Cardiovascular Medicine, Shingu Municipal Medical Center, Japan.
Yasushi InoDepartment of Cardiovascular Medicine, Shingu Municipal Medical Center, Japan.
Naoki YamamotoDepartment of Cardiovascular Surgery, Shingu Municipal Medical Center, Japan.
Koji OnodaDepartment of Cardiovascular Surgery, Shingu Municipal Medical Center, Japan.
Atsushi TanakaDepartment of Cardiovascular Medicine, Wakayama Medical University, Japan.
Wakayama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 72-year-old Japanese woman with systemic sclerosis was admitted to our hospital because of symptoms of heart failure. Cardiovascular magnetic resonance (CMR) imaging had shown that extensive myocardial fibrosis secondary to systemic sclerosis was the main cause of heart failure. One month after CMR, she had complete atrioventricular (AV) block. It was suggested that the progression of fibrosis to the AV node caused complete AV block. This case report has clinical implications in highlighting the fact that CMR is useful for not only evaluating the present pathophysiology but also predicting future adverse events in patients with systemic sclerosis.

Indexed as

Atrioventricular BlockCardiomyopathiesHeart FailureScleroderma, SystemicAgedFemaleFibrosisHeartHumansMagnetic Resonance Imagingcardiovascular magnetic resonance imagingcomplete atrioventricular blockheart failuresystemic sclerosis

Identifiers

PMID34840229
PMCPMC9334230
OpenAlexW3214963518

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.