Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 625

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

Circulating Long Noncoding RNA, LIPCAR, Predicts Survival in Patients With Heart Failure

Open access
Kumarswamy, Regalla, Bauters, Christophe, Volkmann, Ingo, Maury, Fleur, Fetisch, Jasmin, Holzmann, Angelika, Lemesle, Gilles, de Groote, Pascal, Pinet, Florence, Thum, Thomas·2014·Circulation Research

Abstract

Rationale: Long noncoding RNAs represent a novel class of molecules regulating gene expression. Long noncoding RNAs are present in body fluids, but their potential as biomarkers was never investigated in cardiovascular disease. Objective: To study the role of long noncoding RNAs as potential biomarkers in heart disease. Methods and Results: Global transcriptomic analyses were done in plasma RNA from patients with or without left ventricular remodeling after myocardial infarction. Regulated candidates were validated in 3 independent patient cohorts developing cardiac remodeling and heart failure (788 patients). The mitochondrial long noncoding RNA uc022bqs.1 (LIPCAR) was downregulated early after myocardial infarction but upregulated during later stages. LIPCAR levels identified patients developing cardiac remodeling and were independently to other risk markers associated with future cardiovascular deaths. Conclusions: LIPCAR is a novel biomarker of cardiac remodeling and predicts future death in patients with 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 · 10.1161/circresaha.114.303915

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

Cited by

See all 625

Metadata

Authors
Kumarswamy, R., Bauters, C., Volkmann, I., Maury, F., Fetisch, J., Holzmann, A., Lemesle, G., de Groote, P., Pinet, F., & Thum, T.
Venue
Circulation Research
Published
2014-05-09
Volume
114
Issue
10
Pages
1569-1575
ISSN
  • 0009-7330 (ISSN-L)
  • 1524-4571
OpenAlex
W2137854396
Cited by
625
References
1
FWCI
39.80
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: Circulating Long Noncoding RNA, LIPCAR, Predicts Survival in Patients With Heart Failure. https://app.cochat.ai/papers/10.1161/circresaha.114.303915
The paper
Kumarswamy, R., Bauters, C., Volkmann, I., Maury, F., Fetisch, J., Holzmann, A., Lemesle, G., de Groote, P., Pinet, F., & Thum, T. (2014). Circulating Long Noncoding RNA, LIPCAR, Predicts Survival in Patients With Heart Failure. Circulation Research. https://doi.org/10.1161/circresaha.114.303915

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.