Skip to main content
. 2019 Jan 16;33(5):702–713. doi: 10.1038/s41433-018-0322-x

Table 2.

Summary of bias assessment and applicability as per PROBAST tool mainly and adding CHARMS input where necessary

Study ID Participants Predictors Outcome Sample size and participant flow Model development and evaluation External validation Overall bias
High Moderate
Low
Applicability High concern
Moderate concern
Low concern
Comments for bias
UKPDS OM1 [17] 2004 L L L H H Yes H H

Low EPV

Did not report relevant performance measuresa

J. Leal et al. [18] 2013 L L L H L NA H H Low EPV
UKPDS 68 update [19] 2015 L L L L L No M H High number of missing values (up to 57%) but dealt with multiple imputations. No EV after update
UKPDS OM2 [22] 2013 L L L H H Yes H H Missing data dealt with LOCF, no multiple imputations
Validation of the UKPDS 82 [23] 2015 L L L H L NA H H No. of outcomes and sample size not reported
JJ risk engine [24] 2013 L H L L L No H M

Categorised continuous predictor (BMI)

lacks external validation

Soedamah-Muthu et al. [20] 2014 L L L H L Yes H H Very low EPV and fewer number of outcomes
Lagani et al. [27] 2015 L L L H L Yes H H Low EPV
Harris et al. [35] 2013 L H L L H No H L

Did not report relevant performance measuresa

Lacks external validation

Hippisley-Cox et al. [28] 2015 L L L L L Yes Mb H High number of missing values, but dealt with multiple imputations
Icelandic model [29] 2011 L L L L L Yes Lb L
Van der Heijden [25] 2014 L L L H L NA H L Low number of outcomes (<100)
Soto-Pedre et al. [30] 2015 L L L H L NA H L Low number of outcomes (<100)
Holtzer-Goor [26] 2015 L L L H L NA H L Low number of outcomes (<100)
Lund et al. [8] 2016 L L L L L NA Lb L
H. Ng Keunen et al. [21] 2016 L L L H L NA H L Low number of outcomes (<100)
Danish model [31] 2012 L L L L H No H L

Did not report relevant performance measuresa

No validation

Stratton et al. [32] 2013 L L L L H Yes H L Did not report relevant performance measuresa
Aldington et al. [33] 2014 L L L L L NA Unclearb L Lack of information as meeting abstract only
Stratton Aldington et al. [34] 2014 L L L L L No Unclearb L

Lack of information as meeting abstract only

Lacks external validation

Scanlon et al. [36] 2015 L L L H L Yes Mb L High amount of missing information and did CCA
ISDR [16] 2017 L L L L L No Mb L Lacks external validation

EPV events per candidate variables, EV external validation, LOCF last observation carried forward, NA not applicable, CCA complete case analysis, L low, M moderate, H high

aCalibration, discrimination and/or classification measures

bSee text