| Literature DB >> 25437291 |
Abstract
Rheumatic diseases affect a significant portion of the population and lead to increased health care costs, disability, and premature mortality; effective preventive measures for these diseases could lead to substantial improvements in public health. Natural history studies show that for most rheumatic diseases there is a period of preclinical disease development during which abnormal biomarkers or other processes can be detected. These changes are useful to understand mechanisms of disease pathogenesis; in addition, they may be applied to estimate a personal risk of future disease while individuals are still relatively asymptomatic and ultimately be used to identify individuals who may be targeted for preventive interventions.Entities:
Keywords: Prediction; Prevention; Rheumatic diseases
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Year: 2014 PMID: 25437291 PMCID: PMC4250827 DOI: 10.1016/j.rdc.2014.07.010
Source DB: PubMed Journal: Rheum Dis Clin North Am ISSN: 0889-857X Impact factor: 2.670