Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 394

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Pathophysiology of Takotsubo Syndrome

Open access
Lyon, Alexander R., Citro, Rodolfo, Schneider, Birke, Morel, Olivier, Ghadri, Jelena R., Templin, Christian, Omerovic, Elmir·2021·Journal of the American College of Cardiology

Abstract

Takotsubo syndrome (TTS) has been a recognized clinical entity for 31 years, since its first description in 1990. TTS is now routinely diagnosed in patients who present with acute chest pain, electrocardiographic changes, troponin elevation, unobstructed coronary arteries, and a typical pattern of circumferential left ventricular wall motion abnormalities that usually involve the apical and midventricular myocardium. Increasing understanding of this intriguing syndrome stems from wider recognition, possible increasing frequency, and a rising number of publications focused on the pathophysiology in clinical and laboratory studies. A comprehensive understanding of TTS pathophysiology and evidence-based treatments are lacking, and specific and effective treatments are urgently required. This paper reviews the pathophysiology of this fascinating syndrome; what is known from both clinical and preclinical studies, including review of the evidence for microvascular dysfunction, myocardial beta-adrenergic signaling, inflammation, and electrophysiology; and where focused research needs to fill gaps in understanding TTS.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jacc.2020.10.060

Cites

77 of 77 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 77 references

Metadata

Authors
Lyon, A. R., Citro, R., Schneider, B., Morel, O., Ghadri, J. R., Templin, C., & Omerovic, E.
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2021-02
Volume
77
Issue
7
Pages
902-921
ISSN
0735-1097 (ISSN-L)
OpenAlex
W3130395385
Cited by
394
References
77
FWCI
32.99
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Pathophysiology of Takotsubo Syndrome. https://app.cochat.ai/papers/10.1016/j.jacc.2020.10.060
The paper
Lyon, A. R., Citro, R., Schneider, B., Morel, O., Ghadri, J. R., Templin, C., & Omerovic, E. (2021). Pathophysiology of Takotsubo Syndrome. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2020.10.060

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.