The DOI matches its Crossref record.
Signaling Pathways for Cardiac Hypertrophy and Failure
Abstract
Heart failure is a leading cause of mortality in the United States. As a result of advances in genetic technology, a molecular basis of heart failure is emerging.1,2 This review highlights the ways in which these insights are leading to new therapeutic targets in patients with acquired forms of heart failure.Morphologic Classification of Cardiac HypertrophyMyocardial hypertrophy is an early milestone during the clinical course of heart failure and an important risk factor for subsequent cardiac morbidity and mortality. In response to a variety of mechanical, hemodynamic, hormonal, and pathologic stimuli, the heart adapts to increased demands for . . .
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.
Integrity signals
Registry
Cites
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.
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
Systemic Complications of Acromegaly: Epidemiology, Pathogenesis, and Management
Colao, A., Ferone, D., Marzullo, P., & Lombardi, G. (2004) · Endocrine Reviews · doi:10.1210/er.2002-0022 · Cited by 1,309
Bernardo, B. C., Weeks, K. L., Pretorius, L., & McMullen, J. R. (2010) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2010.04.005 · Cited by 894
Role of the ACE2/angiotensin 1-7 axis of the renin-angiotensin system in heart failure
Patel, V. B., Zhong, J.-C., Grant, M. B., & Oudit, G. Y. (2016) · Circulation Research · doi:10.1161/circresaha.116.307708 · Cited by 833
Stem cell differentiation requires a paracrine pathway in the heart
Behfar, A., Zingman, L. V., Hodgson, D. M., Rauzier, J., Kane, G. C., Terzic, A., & Pucéat, M. (2002) · The FASEB Journal · doi:10.1096/fj.02-0072com · Cited by 477
Conditional mutation of the ErbB2 (HER2) receptor in cardiomyocytes leads to dilated cardiomyopathy
Özcelik, C., Erdmann, B., Pilz, B., Wettschureck, N., Britsch, S., Hübner, N., Chien, K. R., Birchmeier, C., & Garratt, A. N. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122249299 · Cited by 473
Self-citation
Metadata
- Authors
- Hunter, J. J., & Chien, K. R.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 1999-10-21
- Volume
- 341
- Issue
- 17
- Pages
- 1276-1283
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2317845988
- Cited by
- 869
- References
- 0
- FWCI
- 32.59
- Type
- journal article
- Language
- en
- Open access
- closed
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: Signaling Pathways for Cardiac Hypertrophy and Failure. https://app.cochat.ai/papers/10.1056/nejm199910213411706
- The paper
- Hunter, J. J., & Chien, K. R. (1999). Signaling Pathways for Cardiac Hypertrophy and Failure. New England Journal of Medicine. https://doi.org/10.1056/nejm199910213411706
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.
