Evidence map›Paper›PMID 29187206›Full record

ArticleCardiovascular ultrasound2017

Multi-modality imaging evaluation of recurrent Tako-tsubo syndrome in a patient with coronary artery fibromuscular dysplasia.

Yun Cheng, Chenying Lu, Kan Liu

Open access · goldAbstract readCase Reports
In one paragraph

Article in Cardiovascular ultrasound, 2017. 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 40% 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, 2 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

3 authors at 1 institution in 1 country.

Yun ChengState University of New York, Upstate Medical University, Syracuse, NY, 13202, USA.
Chenying LuState University of New York, Upstate Medical University, Syracuse, NY, 13202, USA.
Kan LiuState University of New York, Upstate Medical University, Syracuse, NY, 13202, USA. liuk@upstate.edu.
SUNY Upstate Medical University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntegrated bedside and sophisticated cardiac imaging techniques help characterize the discrepancy between myocardial injury and mechanic dysfunction in acute myocardial infarction. CASE PRESENTATION: A 57 year-old woman presented with sudden onset chest pain and ventricular fibrillation after hearing of her brother's death. The electrocardiography indicated "anterior wall ST segment elevation myocardial infarction". Coronary angiography ruled out obstructive lesion in the major coronary arteries, but revealed fibromuscular dysplasia of the distal left anterior descending artery. The ventriculography showed remarkable ventricular dilation, which affected much broader myocardium than the culprit vessel supplied. In a subsequent cardiac magnetic resonance study, delayed contrast (gadolinium) image revealed a focal left ventricular (LV) apical infarction. Her LV systolic function normalized within 1 week, except for a residual apical hypokinesis. She developed recurrent chest pain and LV dilation when she was laid off 9 months later. After supportive therapy, her symptoms improved and LV dysfunction normalized again.

conclusions"Tako-tsubo" syndrome can occur recurrently in the heart with pre-existing localized myocardial infarction. Its molecular mechanism and clinical significance warrants further investigation.

Indexed as

Multimodal ImagingCoronary AngiographyCoronary VesselsDiagnosis, DifferentialEchocardiographyFemaleFibromuscular DysplasiaHumansMagnetic Resonance Imaging, CineMiddle AgedRadionuclide VentriculographyTakotsubo Cardiomyopathy

Identifiers

PMID29187206
PMCPMC5708116
OpenAlexW2768871329

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.