The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Prognosis of left ventricular geometric patterns in the Framingham heart study
Open accessAbstract
OBJECTIVES: The goal of this study was to determine the incremental prognostic value of left ventricular geometric patterns beyond that provided by cardiovascular disease risk factors, including left ventricular mass. BACKGROUND: Left ventricular geometry may be classified into the following four mutually exclusive groups on the basis of left ventricular mass and relative wall thickness: concentric hypertrophy (increased mass and increased relative wall thickness), eccentric hypertrophy (increased mass and normal relative wall thickness), concentric remodeling (normal mass and increased relative wall thickness) and normal geometry (normal mass and normal relative wall thickness). The prognosis associated with these patterns in a population-based sample is not known. METHODS: Proportional hazards regression models were used to evaluate the prognostic importance of left ventricular geometry in 3,216 subjects in the Framingham Heart Study who were > or = 40 years old and free of clinically apparent cardiovascular disease, after adjustment for traditional cardiovascular risk factors and left ventricular mass. The follow-up period was 8 years. RESULTS: Subjects with concentric hypertrophy had the worst prognosis, followed by those with eccentric hypertrophy, concentric remodeling and normal geometry. Subjects with concentric hypertrophy also had the highest left ventricular mass. The association between type of geometry and prognosis was largely attenuated by adjustment for baseline differences in left ventricular mass. The odds ratio for incident cardiovascular disease in subjects with concentric hypertrophy compared with those who had normal geometry was 1.3 (95% confidence interval [CI] 0.8 to 2.1) in men and 1.2 (95% CI 0.6 to 2.3) in women after adjustment for other cardiovascular risk factors, including left ventricular mass. CONCLUSIONS: In a population-based sample of subjects without cardiovascular disease, knowledge of left ventricular geometry provided little prognostic information beyond that available from left ventricular mass and traditional cardiovascular risk factors.
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
Cites
Levy, D., Garrison, R. J., Savage, D. D., Kannel, W. B., & Castelli, W. P. (1990) · New England Journal of Medicine · doi:10.1056/nejm199005313222203 · Cited by 5,699
Wall stress and patterns of hypertrophy in the human left ventricle.
Grossman, W., Jones, D., & McLaurin, L. P. (1975) · Journal of Clinical Investigation · doi:10.1172/jci108079 · Cited by 2,403
Epidemiological approaches to heart disease: the Framingham study
Dawber, T. R., Meadors, G. F., & Moore, F. E. (1951) · American Journal of Public Health and the Nations Health · doi:10.2105/ajph.41.3.279 · Cited by 2,148
Cited by
Left Ventricular Hypertrophy: Pathogenesis, Detection, and Prognosis
Lorell, B. H., & Carabello, B. A. (2000) · Circulation · doi:10.1161/01.cir.102.4.470 · Cited by 1,232
Blood Pressure as a Cardiovascular Risk Factor: Prevention and Treatment
Kannel, W. B. (1996) · JAMA · doi:10.1001/jama.1996.03530440051036 · Cited by 1,230
Tsao, C. W., & Vasan, R. S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv337 · Cited by 457
Alterations in left ventricular structure and function in young healthy obese women
Peterson, L. R., Waggoner, A. D., Schechtman, K. B., Meyer, T., Gropler, R. J., Barzilai, B., & Dávila-Román, V. G. (2004) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2003.10.062 · Cited by 449
Shah, A. M., Shah, S. J., Anand, I. S., Sweitzer, N. K., O’Meara, E., Heitner, J. F., Sopko, G., Li, G., Assmann, S. F., McKinlay, S. M., et al. (2014) · Circulation: Heart Failure · doi:10.1161/circheartfailure.113.000887 · Cited by 438
Metadata
- Authors
- Krumholz, H. M., Larson, M., & Levy, D.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 1995-03
- Volume
- 25
- Issue
- 4
- Pages
- 879-884
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2153006573
- Cited by
- 545
- References
- 3
- FWCI
- 10.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Prognosis of left ventricular geometric patterns in the Framingham heart study. https://app.cochat.ai/papers/10.1016/0735-1097(94)00473-4
- The paper
- Krumholz, H. M., Larson, M., & Levy, D. (1995). Prognosis of left ventricular geometric patterns in the Framingham heart study. Journal of the American College of Cardiology. https://doi.org/10.1016/0735-1097(94)00473-4
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.