The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Endogenous testosterone and cardiovascular disease in healthy men: a meta-analysis
Abstract
Context: The literature provides no clear answer as to whether low endogenous testosterone increases risk of cardiovascular disease (CVD) in healthy men. Objective: Our purpose was to estimate the predictive value of testosterone for CVD and to identify study features explaining conflicting results. Data Sources: Articles were identified by a Medline and Embase search and citation tracking. Study Selection: Eligible were prospective population-based cohort and nested case-control studies of testosterone and atherosclerosis, stroke, myocardial infarction, ischaemic heart disease, death from coronary heart disease or mortality. Data extraction: Two independent researchers re-expressed associations of testosterone and CVD in a uniform manner to be used in meta-regression analyses for identification of study features explaining conflicting results, and to estimate the predictive value of testosterone for CVD. Results and Conclusions: 19 potentially eligible articles were identified. Overall, a weak independent association was found with an estimated summary RR of 0.89 for a change of one standard deviation in total testosterone level (95% CI 0.83 to 0.96). Age of study population and year of publication modified the relationship between testosterone and CVD. The estimated summary RR was 1.01 (0.95 to 1.08) for studies of men younger than 70 years of age, and 0.84 (0.76 to 0.92) for studies including men over 70 years of age. The latter studies showed a particular pronounced association if published after 1 January 2007. Results were largely confirmed by separate analyses of free- and bioavailable testosterone. The systematic review displayed no association between endogenous testosterone and risk for CVD in middle-aged men. In elderly men, testosterone may weakly protect against CVD. Alternatively, low testosterone may indicate a poor general health.
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Cites
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE1
GREENLAND, S. (1987) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036298 · Cited by 1,644 · cited 5×
“Heterogeneity tests of pooled studies indicate differences in the RRs (95% CI) when p values are small.(28) Summary RRs (95% CI) of pooled studies were calculated according to fixed- and random-effects models.”
BackgroundMethodInfluentialAdverse Events Associated with Testosterone Administration
Basaria, S., Coviello, A. D., Travison, T. G., Storer, T. W., Farwell, W. R., Jette, A. M., Eder, R., Tennstedt, S., Ulloor, J., Zhang, A., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1000485 · Cited by 1,494
Low Serum Testosterone and Mortality in Older Men
Laughlin, G. A., Barrett-Connor, E., & Bergstrom, J. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-1792 · Cited by 798
Khaw, K.-T., Dowsett, M., Folkerd, E., Bingham, S., Wareham, N., Luben, R., Welch, A., & Day, N. (2007) · Circulation · doi:10.1161/circulationaha.107.719005 · Cited by 743
Invited commentary: a critical look at some popular meta-analytic methods
Greenland, S. (1994) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117248 · Cited by 511
Effects of Testosterone on Coronary Vasomotor Regulation in Men With Coronary Heart Disease
Webb, C. M., McNeill, J. G., Hayward, C. S., de Zeigler, D., & Collins, P. (1999) · Circulation · doi:10.1161/01.cir.100.16.1690 · Cited by 451
Low Serum Testosterone and Estradiol Predict Mortality in Elderly Men
Tivesten, A., Vandenput, L., Labrie, F., Karlsson, M. K., Ljunggren, O., Mellström, D., & Ohlsson, C. (2009) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-2650 · Cited by 243
Endogenous sex hormones and cardiovascular disease incidence in men
Ärnlöv, J., Pencina, M. J., Amin, S., Nam, B.-H., Benjamin, E. J., Murabito, J. M., Wang, T. J., Knapp, P. E., D'Agostino, R. B., Bhasin, S., et al. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-3-200608010-00005 · Cited by 217
Cited by
Increased Risk of Non-Fatal Myocardial Infarction Following Testosterone Therapy Prescription in Men
Finkle, W. D., Greenland, S., Ridgeway, G. K., Adams, J. L., Frasco, M. A., Cook, M. B., Fraumeni, J. F., & Hoover, R. N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085805 · Cited by 735
“However, there is some evidence that low endogenous testosterone levels may also be positively associated with cardiovascular events [16,17].”
BackgroundEndogenous Testosterone and Mortality in Men: A Systematic Review and Meta-Analysis
Araujo, A. B., Dixon, J. M., Suarez, E. A., Murad, M. H., Guey, L. T., & Wittert, G. A. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-1137 · Cited by 671
Sex differences in lipid and lipoprotein metabolism
Palmisano, B. T., Zhu, L., Eckel, R. H., & Stafford, J. M. (2018) · Molecular Metabolism · doi:10.1016/j.molmet.2018.05.008 · Cited by 522
Hypogonadism as a risk factor for cardiovascular mortality in men: a meta-analytic study
Corona, G., Rastrelli, G., Monami, M., Guay, A., Buvat, J., Sforza, A., Forti, G., Mannucci, E., & Maggi, M. (2011) · European Journal of Endocrinology · doi:10.1530/eje-11-0447 · Cited by 435
Testosterone and Cardiovascular Disease
Kloner, R. A., Carson, C., Dobs, A., Kopecky, S., & Mohler, E. R. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.12.005 · Cited by 371
Metadata
- Authors
- Ruige, J. B., Mahmoud, A. M., De Bacquer, D., & Kaufman, J.-M.
- Venue
- Heart
- Publisher
- BMJ
- Published
- 2010-12-21
- Volume
- 97
- Issue
- 11
- Pages
- 870-875
- ISSN
- 1355-6037 (ISSN-L)
- 1468-201X
- OpenAlex
- W2122986464
- Cited by
- 302
- References
- 10
- FWCI
- 2.85
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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