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. 2015 Oct 1;15:99. doi: 10.1186/s12894-015-0095-5

Table 2.

Multivariable logistic regression model results for prediction of prostate cancer detection based on sarcosine and standard risk factors

Odds ratio (95 % confidence interval) P-value
Age 1.0 (0.9–1.1) 0.11
Race
 African American 1.3 (0.6–3.0) 0.47
 Other 1.2 (0.7–2.3) 0.49
At least one previous prostate biopsy 0.7 (0.3–1.3) 0.26
Abnormal Digital Rectal Exam 30.5 (11.8–92.2) <0.001
Family history of prostate cancer 3.5 (1.8–6.8) <0.001
Prostate-specific antigen (ng/mL)a 4.4 (3.3–5.9) <0.001
Sarcosine uM in 20uL seruma 1.1 (0.7–1.8) 0.64

aVariable was log2 transformed in the model