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In vivo studies of the molecular components of complex immunological processes within the tissue microenvironment are needed to test these models in man.
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OBJECTIVE: Given the recent emergence of C-reactive protein levels as a novel prognostic factor in men with metastatic castration-resistant prostate cancer (mCRPC), we sought to evaluate the independent prognostic ability of C-reactive protein in the context of published prognostic nomograms, risk grouping and disease state models in men receiving docetaxel-based chemotherapy for mCRPC.
Finally, the consumption of vegetables (g/day), meat (g/day) and fruits (g/day), and the intakes of fat (g/day) and fiber (g/day) were added one by one into the age- and energy-adjusted models in men and women and fully adjusted models in men.
The negative predictive values of the main effect models in men and women were 90.7% and 76.5%, respectively.
Variables that were associated with diabetes in the univariate analysis were included in the multiple logistic regression (backward elimination) models in men and women, separately.
No statistically significant differences concerning the separate variables in the age-adjusted main effect models in men and women were found.
To determine the feasibility of conducting a large multi-center non-inferiority RCT of three exercise delivery models in men with PC on ADT.
Waist circumference was identified as a mediator in the relationship between depression and insulin resistance, reducing the β coefficient in the fully adjusted models in men by 38% and in women by 42%.
In the age-group 75 years and older, stride length (per 10 cm decrease) showed a significant relationship to falls in all models in men only (OR 1.34; 95% CI 1.05-1.70; model 2) (Table 3).
We found no statistically significant difference in the overall discrimination ability between long-term and short-term prediction models, in men (0.736 vs 0.731) and in women (0.801 vs 0.816; table 2).
25 26 As in previous similar studies, we decided a priori to derive separate models in men and women since the predictors and their weightings are likely to be different.
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