Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 350

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Acute myocarditis associated with novel Middle East respiratory syndrome coronavirus

Open access
Alhogbani, Tariq·2016·Annals of Saudi Medicine

Abstract

The novel Middle east respiratory syndrome coronavirus (MeRS-CoV) has been identified as a cause of pneumonia; however, it has not been reported as a cause of acute myocarditis. A 60-year-old man presented with pneumonia and congestive heart failure. On the first day of admission, he was found to have an elevated troponin-l level and severe global left ventricular systolic dysfunction on echo-cardiography. The serum creatinine level was found mildly elevated. Chest radiography revealed in the lower lung fields accentuated bronchovascular lung markings and multiple small patchy opacities. Laboratory tests were negative for viruses known to cause myocarditis. Sputum sample was positive for MeRS-CoV. Cardiovascular magnetic resonance revealed evidence of acute myocarditis. the patient had all criteria specified by the international Consensus Group on CMR in Myocarditis that make a clinical suspicion for acute myocarditis. this was the first case that demonstrated that MeRS-CoV may cause acute myocarditis and acute-onset heart failure.

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 · 10.5144/0256-4947.2016.78

Cites

1 of 1 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 1 references

Cited by

See all 350

Metadata

Authors
Alhogbani, T.
Venue
Annals of Saudi Medicine
Published
2016-01
Volume
36
Issue
1
Pages
78-80
ISSN
  • 0256-4947 (ISSN-L)
  • 0975-4466
OpenAlex
W2416324255
Cited by
350
References
1
FWCI
1.25
Type
journal article
Language
en
Open access
diamond

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: Acute myocarditis associated with novel Middle East respiratory syndrome coronavirus. https://app.cochat.ai/papers/10.5144/0256-4947.2016.78
The paper
Alhogbani, T. (2016). Acute myocarditis associated with novel Middle East respiratory syndrome coronavirus. Annals of Saudi Medicine. https://doi.org/10.5144/0256-4947.2016.78

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.