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See related research by Hermsen et al., http://ccforum.com/content/15/4/R198 In the previous issue of Critical Care, Hermsen and colleagues [ 1] presented a validation of two clinical prediction rules for invasive candidiasis (IC) and propose a new one based on common risk factors found in ICU patients.
Despite a moderate effect of individual genetic factors on T2DM and a premature testing for inherited susceptibility based on common risk alleles, the genetic assessment for persons at high risk for T2DM has received much consideration [13].
Since dental caries is a disease caused by multiple factors, prevention, based on common risk factors plays an important role on caries management [ 43, 44].
Prevention, based on common risk factors, plays an important role on caries management [ 24, 25] and recent studies have shown the anti-caries activity of different natural products such as propolis [ 26, 27].
Strategies that increase the opportunities for health care for those who present impacts on OHRQoL, combined with a preventive approach based on common risk and tooth loss rehabilitation, could help to diminish inequities among adult populations and improve quality of life.
To this end, numerous risk scores and prediction equations have been developed to identify people at high risk of developing diabetes or with pre-diabetes based on common risk factors such as body mass index (BMI) and family history of diabetes [ 11- 13].
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The data presented revealed that radiological data on erosions, regardless of its definition, does not importantly improve the predictive ability of the prediction rule that is based on common clinical and serological risk factors.
Prediction of disease risk based on common variants and clinical profiles is described for the Caucasians in [ 7].
The purpose of this commentary is to present provision of training program in risk assessment based on common European criteria, easily adopted by institutions across Europe and focusing on risk assessment methodology and procedure.
We have shown that commercial PGT risk estimates based on common, low-penetrance SNPs have a modest but significant effect on perceived risk of breast, prostate, colorectal, and lung cancers.
To this end, we simulated a large dataset and constructed risk models based on common variants for increasing values of the baseline AUC.
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based on common azimuth
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Justyna Jupowicz-Kozak
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