Evidence map›Paper›PMID 25855605›Full record

ReviewNature reviews. Cardiology2015

Epidemiology and pathophysiology of Takotsubo syndrome.

Yoshihiro J Akashi, Holger M Nef, Alexander R Lyon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

168 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Takotsubo syndrome: Unraveling the mystery behind its triggers (Review).International journal of molecular medicine · 2025
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108 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yoshihiro J AkashiDivision of Cardiology, Department of Internal Medicine, St Marianna University School of Medicine, 2-16-1 Sugao Miyamae-ku, Kawasaki City, Kanagawa 216-8511, Japan.
Holger M NefMedizinische Klinik I, Kardiologie und Angiologie, Universitätsklinikum Gießen, Rudolf-Buchheim-Straße 8, Gießen 35392, Germany.
Alexander R LyonNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital and Imperial College, Sydney Street, London SW3 6NP, UK.

Funding

British Heart Foundation FS/11/67/28954
6 · The paper itself

Abstract

Takotsubo syndrome is an acute cardiac syndrome first described in 1990 and characterized by transient left ventricular dysfunction affecting more than one coronary artery territory, often in a circumferential apical, mid-ventricular, or basal distribution. Several pathophysiological explanations have been proposed for this syndrome and its intriguing appearance, and awareness is growing that these explanations might not be mutually exclusive. The reversible apical myocardial dysfunction observed might result from more than one pathophysiological phenomenon. The pathophysiology of Takotsubo syndrome is complex and integrates neuroendocrine physiology, potentially involving the cognitive centres of the brain, and including the hypothalamic-pituitary-adrenal axis. Cardiovascular responses are caused by the sudden sympathetic activation and surge in concentrations of circulating catecholamines. The multiple morphological changes seen in the myocardium match those seen after catecholamine-induced cardiotoxicity. The acute prognosis and recurrence rate are now known to be worse than initially thought, and much still needs to be learned about the epidemiology and the underlying pathophysiology of this fascinating condition in order to improve diagnostic and treatment pathways.

Indexed as

CatecholaminesHumansMyocardiumPrognosisStress, PsychologicalTakotsubo CardiomyopathyCatecholamines

Identifiers

What OpenQuestion holds

Textmetadata
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.