The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Leukocyte Count as a Predictor of Cardiovascular Events and Mortality in Postmenopausal Women: The Women’s Health Initiative Observational Study
Abstract
BACKGROUND: Increasing evidence supports a role for inflammation in the atherosclerotic process. The role of the leukocyte count as an independent predictor of risk of a first cardiovascular disease (CVD) event remains uncertain. Our objective was to describe the relation between the baseline white blood cell (WBC) count and future CVD events and mortality in postmenopausal women. METHODS: In this prospective cohort study set in 40 US clinical centers, the study population comprised 72 242 postmenopausal women aged 50 to 79 years, free of CVD and cancer at baseline, enrolled in the Women's Health Initiative Observational Study. Main outcome measures included incident fatal coronary heart disease (CHD), nonfatal myocardial infarction, stroke, and total mortality. RESULTS: At baseline, the mean +/- SD age of the women was 63 +/- 7.3 years, 84% were white, 4% had diabetes, 35% had hypertension, and 6% were current smokers. The mean WBC count was 5.8 +/- 1.6 x 10(9) cells/L. During a mean of 6.1 years of follow-up, there were 187 CHD deaths, 701 nonfatal myocardial infarctions, 738 strokes, and 1919 deaths from all causes. Compared with women with WBC counts in the first quartile (2.5-4.7 x 10(9) cells/L), women in the fourth quartile (6.7-15.0 x 10(9) cells/L) had over a 2-fold elevated risk for CHD death (hazard ratio, 2.36; 95% confidence interval, 1.51-3.68), after multivariable adjustment for age, race, diabetes, hypertension, smoking, hypercholesterolemia, body mass index, alcohol intake, diet, physical activity, aspirin use, and hormone use. Women in the upper quartile of the WBC count also had a 40% higher risk for nonfatal myocardial infarction, a 46% higher risk for stroke, and a 50% higher risk for total mortality. In multivariable models adjusting for C-reactive protein, the WBC count was an independent predictor of CHD risk, comparable in magnitude to C-reactive protein. CONCLUSIONS: The WBC count, a stable, well-standardized, widely available and inexpensive measure of systemic inflammation, is an independent predictor of CVD events and all-cause mortality in postmenopausal women. A WBC count greater than 6.7 x 10(9) cells/L may identify high-risk individuals who are not currently identified by traditional CVD 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
Atherosclerosis--an inflammatory disease
Ross, R. (1999) · New England Journal of Medicine · doi:10.1056/nejm199901143400207 · Cited by 21,725
Inflammation in atherosclerosis
Libby, P. (2002) · Nature · doi:10.1038/nature01323 · Cited by 8,315
Pearson, T. A., Mensah, G. A., Alexander, R. W., Anderson, J. L., Cannon, R. O., Criqui, M., Fadl, Y. Y., Fortmann, S. P., Hong, Y., Myers, G. L., et al. (2003) · Circulation · doi:10.1161/01.cir.0000052939.59093.45 · Cited by 6,401
Compendium of Physical Activities: Classification of energy costs of human physical activities
AINSWORTH, B. E., HASKELL, W. L., LEON, A. S., JACOBS, D. R., MONTOYE, H. J., SALLIS, J. F., & PAFFENBARGER, R. S. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199301000-00011 · Cited by 4,102
Validation of a self-administered diet history questionnaire using multiple diet records
Block, G., Woods, M., Potosky, A., & Clifford, C. (1990) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(90)90099-b · Cited by 1,197
Cited by
Public health significance of neuroticism
Lahey, B. B. (2009) · American Psychologist · doi:10.1037/a0015309 · Cited by 1,901
Cellular senescence and the senescent secretory phenotype: therapeutic opportunities
Tchkonia, T., Zhu, Y., van Deursen, J., Campisi, J., & Kirkland, J. L. (2013) · Journal of Clinical Investigation · doi:10.1172/jci64098 · Cited by 1,774
A Consideration of Biomarkers to be Used for Evaluation of Inflammation in Human Nutritional Studies
Calder, P. C., Ahluwalia, N., Albers, R., Bosco, N., Bourdet-Sicard, R., Haller, D., Holgate, S. T., Jönsson, L. S., Latulippe, M. E., Marcos, A., et al. (2013) · British Journal of Nutrition · doi:10.1017/s0007114512005119 · Cited by 425
Meydani, S. N., Das, S. K., Pieper, C. F., Lewis, M. R., Klein, S., Dixit, V. D., Gupta, A. K., Villareal, D. T., Bhapkar, M., Huang, M., et al. (2016) · Aging · doi:10.18632/aging.100994 · Cited by 228
Translating advances from the basic biology of aging into clinical application
Kirkland, J. L. (2013) · Experimental Gerontology · doi:10.1016/j.exger.2012.11.014 · Cited by 128
Metadata
- Authors
- Margolis, K. L.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2005-03-14
- Volume
- 165
- Issue
- 5
- Pages
- 500
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2158284618
- Cited by
- 310
- References
- 5
- FWCI
- 10.46
- 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
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.