“…37/50 studies were considered to have low risk of bias for prognostic factor measurement, with clear information on data source and data handling ( Table 2 ). 13/50 studies were evaluated to have high risk of bias due to unclear description on the source of the prognostic factors (2/13, Table 3 ) ( 33 , 55 ), use of data-driven discretization that was optimized to maximise discrimination (5/13, Table 3 ) ( 11 , 39 , 44 , 53 , 58 ), and lack of information on data processing such as the handling of missing data or discretization (5/13, Table 3 ) ( 11 , 19 , 21 , 39 , 64 ). Additionally, 5/13 studies simply excluded subjects with missing data from the analysis when the proportion of missing values were high (> 10% missing, Table 3 ) ( 32 , 40 , 53 – 55 ).…”