Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 530

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

Cardiovascular Magnetic Resonance Findings in Competitive Athletes Recovering From COVID-19 Infection

Open access
Rajpal, Saurabh, Tong, Matthew S., Borchers, James, Zareba, Karolina M., Obarski, Timothy P., Simonetti, Orlando P., Daniels, Curt J.·2020·JAMA Cardiology

Abstract

This study investigates the use of cardiac magnetic resonance imaging in competitive athletes who recovered from coronavirus disease 2019 (COVID-10) to detect myocardial inflammation that would identify high-risk athletes for return to competitive play.

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 · 10.1001/jamacardio.2020.4916

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 530

Metadata

Authors
Rajpal, S., Tong, M. S., Borchers, J., Zareba, K. M., Obarski, T. P., Simonetti, O. P., & Daniels, C. J.
Venue
JAMA Cardiology
Published
2020-09-11
Volume
6
Issue
1
Pages
116-118
ISSN
2380-6583 (ISSN-L)
OpenAlex
W3086851050
Cited by
530
References
1
FWCI
64.24
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: Cardiovascular Magnetic Resonance Findings in Competitive Athletes Recovering From COVID-19 Infection. https://app.cochat.ai/papers/10.1001/jamacardio.2020.4916
The paper
Rajpal, S., Tong, M. S., Borchers, J., Zareba, K. M., Obarski, T. P., Simonetti, O. P., & Daniels, C. J. (2020). Cardiovascular Magnetic Resonance Findings in Competitive Athletes Recovering From COVID-19 Infection. JAMA Cardiology. https://doi.org/10.1001/jamacardio.2020.4916

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.