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For continues variables (the change in MADRS and HAM-D total score from baseline) the WMDs and 95% confidence intervals (CI) were computed using the inverse variance method.
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When the interest is in using CAC as risk factor for future events (assessment of relative risks), it is most likely that in analyses with CAC as continues variable the magnitude of association of high CAC levels with events reflects an underestimation of the true magnitude.
aDifferences in binary variables were expressed as ORs with 95% confidence intervals, continues variables as the difference with 95% confidence intervals, and p-values using the chi-square test were reported for categorical variables with more than two levels.
Categorical variables between the anaemic and non anaemic patients were compared using X2 test, continues variables between the anaemic and non anaemic patients were compared using Student T-test.
All quantitative variables were entered as continues variables into the model.
Comparison made using Students' t-tests or Mann-Whitney U tests for the continues variables and Pearson's Chi-square tests for dichotomic variables.
The independent samples t-test was applied for the differences in continues variables between characteristics of patients and controls.
We used the t test, with 5% significance level, to check the difference in continues variables.
The results for continues variables are given as mean (± SD) and for categorical variables as percentages.
The significance of continues variables was based on independent T-test and categorical variables Chi-square tests.
Spearman's correlation coefficient was used to assess the relationship between two continues variables.
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