Table 2.

Study quality assessment of prediction models when outcome and corresponding performance measure (C-statistic) were reported for stroke

Study	Inclusion/exclusion criteria specified	Non-biased selection	Missing value/loss to follow-up considered	Modelling assumptions satisfied	Model external validation	Outcome assessed without knowledge of the candidate predictors (ie, blinded)	Duration of follow-up long enough	Potential clinical use of the model discussed	Study limitations discussed
Yang et al 38	Yes	Yes	Not clear	No	No	Not clear	Yes	Yes	Yes
Kothari et al 21	Yes	Yes	No	Yes	Yes	Not clear	Yes	Yes	Yes
Wells et al 47	Yes	Yes	Yes	No	No	Not clear	No	Yes	Yes
Stevens et al (UKPDS 66)24	Yes	Yes	Not clear	No	No	Yes	Yes	Yes	No
Tanaka et al (JJ Risk Engine)48	Yes	Yes	Yes	No	No	Not clear	Yes	No	Yes
Palmer et al (IRS)23	Yes	Not clear	No	No	No	Not clear	Yes	No	Yes
Kiadaliri et al 22	Yes	Yes	Yes	No	No	Not clear	No	No	Yes
Li et al 49	Yes	Yes	Yes	Yes	No	Not clear	Yes	Yes	Yes
Basu et al RECODe36	Yes	Yes	No	Not clear	Yes	Not clear	No	Yes	Yes

IRS, inflammatory risk score; JJ, The JDCS/J-EDIT; RECODe, Risk Equations for Complications of Type 2 Diabetes; UKPDS, United Kingdom Prospective Diabetes Study.