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Table 2 Cross table based on the accuracy measures as provided in the response by Antonini et al. [6]. The calculation steps for creating the cross table of the adjusted model are described at the bottom of the table

From: Comment on “Does the 5-2-1 criteria identify patients with advanced Parkinson’s disease? Real-world screening accuracy and burden of 5-2-1-positive patients in 7 countries”

  

advanced PD

 

CCR

SENS

SPEC

PPV

NPV

adjusted regression model of 5-2-1 criteria

 

yes

no

88.1%

41.9%

96.2%

65.9%

90.4%

pos

294†

152§

446

neg

408¥

3860*

4268

702

4012

4714

unadjusted

5-2-1 screening criteria

 

yes

no

75.7%

78.6%

75.2%

35.7%

95.3%

pos

552

994

1546

neg

150

3018

3168

702

4012

4714

  1. Abbreviations: CCR = correct classification rate, SENS = sensitivity, SPEC = specificity, PPV = positive predictive value, NPV = negative predictive value, pos = positive, neg = negative, ∑ = row/column total.
  2. † the number of true positives was calculated as follows: sensitivity × total number of patients with advanced PD (41.9% x 702 = 294).
  3. ¥ the number of false negatives was calculated as follows: total number of patients with advanced PD – true positives (702–294 = 408).
  4. * the number of true negatives was calculated as follows: specificity x total number of patients without advanced PD (96.2% x 4012 = 3860).
  5. § the number of false positives was calculated as follows: total number of patients without advanced PD – true negatives (4012–3860 = 152).