Table S6. Effect modificators of Sept9 positivity in CRC. ¤ p-values for Sept9 2/3 algorithm similar (data not shown). * p-value < 0.05 is considered statistically significant. # Former smokers and current smokers pooled vs non-smokers. ## Abuse: Women > 7 units per week, Men >14 units per week. ### Underweight < 18,5, Normal 18,5–25, Overweight 25–30, Heavy overweight >30. (DOC 34 kb
Baseline characteristics and clinicopathological variables. Table with characteristics of HNSCC and ...
Cox regression to evaluate the effect of selected covariates on prostate cancer incidence ignoring d...
Risk of colorectal cancer in relation to a 5 unit change in anthropometric measures by sex and previ...
Table S4. Predictors of CRC in univariate regression, 1/3 algorithm. ¤ p-values for Sept9 2/3 algori...
Table S1. Association between variables in cohort. *Two-sided Fisher’s exact test, all numbers are p...
Table S7. Predictors of Colorectal Cancer, 2/3 algorithm. * p < 0.05 considered statistically signif...
Table S2. Individuals with CRC stratified by tumorstage and age. p-value <0.001 Fishers exact test. ...
Table S8. Sensitivity and specificity for Sept9 after age adjusted combinations of positivity algori...
Table S3. Positivity of subjects with NED stratified by plasma volume and age. * Two-sided Fisher’s ...
Table S1. Number of participants with missing data for covariates. Table S2. Cut-off points for age-...
Sensitivity Analysis (n = 1357): HRs and 95% CIs of all-cause mortality according to quartiles of ph...
Figure S1. HRs (95%CIs) between BMI (kg/m2) and the risk overall cancer in male T2DM patients with a...
Additional file 1: Table S1. Baseline characteristics by cases and controls. Table S2. Baseline char...
Additional file 1. Risk of Bias Assessment Method. Table A1. Summary of Studies. Table A2. Risk of B...
Type 2 diabetes mellitus shares risk factors for and has shown a positive association with colorecta...
Baseline characteristics and clinicopathological variables. Table with characteristics of HNSCC and ...
Cox regression to evaluate the effect of selected covariates on prostate cancer incidence ignoring d...
Risk of colorectal cancer in relation to a 5 unit change in anthropometric measures by sex and previ...
Table S4. Predictors of CRC in univariate regression, 1/3 algorithm. ¤ p-values for Sept9 2/3 algori...
Table S1. Association between variables in cohort. *Two-sided Fisher’s exact test, all numbers are p...
Table S7. Predictors of Colorectal Cancer, 2/3 algorithm. * p < 0.05 considered statistically signif...
Table S2. Individuals with CRC stratified by tumorstage and age. p-value <0.001 Fishers exact test. ...
Table S8. Sensitivity and specificity for Sept9 after age adjusted combinations of positivity algori...
Table S3. Positivity of subjects with NED stratified by plasma volume and age. * Two-sided Fisher’s ...
Table S1. Number of participants with missing data for covariates. Table S2. Cut-off points for age-...
Sensitivity Analysis (n = 1357): HRs and 95% CIs of all-cause mortality according to quartiles of ph...
Figure S1. HRs (95%CIs) between BMI (kg/m2) and the risk overall cancer in male T2DM patients with a...
Additional file 1: Table S1. Baseline characteristics by cases and controls. Table S2. Baseline char...
Additional file 1. Risk of Bias Assessment Method. Table A1. Summary of Studies. Table A2. Risk of B...
Type 2 diabetes mellitus shares risk factors for and has shown a positive association with colorecta...
Baseline characteristics and clinicopathological variables. Table with characteristics of HNSCC and ...
Cox regression to evaluate the effect of selected covariates on prostate cancer incidence ignoring d...
Risk of colorectal cancer in relation to a 5 unit change in anthropometric measures by sex and previ...