A clinical prediction rule for meniscal tears in primary care: development and internal validation using a multicentre study by Barbara AM Snoeker, Aeilko.

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Presentation transcript:

A clinical prediction rule for meniscal tears in primary care: development and internal validation using a multicentre study by Barbara AM Snoeker, Aeilko H Zwinderman, Cees Lucas, and Robert Lindeboom BJGP Volume 65(637):e523-e529 July 26, 2015 ©2015 by British Journal of General Practice

ROC curve ‘Best model’ versus ‘Tolerance model’. Barbara AM Snoeker et al. Br J Gen Pract 2015;65:e523-e529 ©2015 by British Journal of General Practice

Final CPR model including scoring system. Final CPR model including scoring system. Scoring system relating the predictors of the final model to the probability of presence of a meniscal tear. For example, consider a male patient (which corresponds to 84 points) of 48 years (60 points), without weight bearing during trauma (0 points), who performs sports (15 points), with effusion (60 points), without warmth of the knee (0 points), discolouration of the knee (30 points), and a positive Deep Squat test (3 points). The patient’s total point score is 252 points, corresponding to a probability of meniscal tears of about 62%. Barbara AM Snoeker et al. Br J Gen Pract 2015;65:e523-e529 ©2015 by British Journal of General Practice

Risk score versus predicted probability. Barbara AM Snoeker et al. Br J Gen Pract 2015;65:e523-e529 ©2015 by British Journal of General Practice