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Table 2 Connecting sensitivity, specificity, and prevalence, to predictive values and NNT values

From: Planning clinically relevant biomarker validation studies using the “number needed to treat” concept

 

 

Sensitivity

0.50

0.60

0.70

0.80

0.90

1.00

 

Specificity

0.50

0.60

0.70

0.80

0.90

1.00

PPV

0.50

0.60

0.70

0.80

0.90

1.00

Prevalence = 0.5 (see Fig. 3a)

NPV

0.50

0.60

0.70

0.80

0.90

1.00

Prevalence = 0.5 (see Fig. 3a)

NNT Pos

2.0

1.7

1.4

1.3

1.1

1.00

Prevalence = 0.5 (see Fig. 3a)

NNT Neg

2.0

2.5

3.3

5.0

10.0

Inf

Prevalence = 0.5 (see Fig. 3a)

PPV

0.05

0.07

0.11

0.17

0.32

1.00

Prevalence = 0.05 (see Fig. 3b, c)

NPV

0.95

0.97

0.98

0.99

0.99

1.00

Prevalence = 0.05 (see Fig. 3b, c)

NNT Pos

20.0

13.7

9.1

5.8

3.1

1.00

Prevalence = 0.05 (see Fig. 3b, c)

NNT Neg

20.0

29.5

45.3

77.0

172.0

Inf

Prevalence = 0.05 (see Fig. 3b, c)

  1. Circled letters refer to points labeled in Fig. 3. Example: for column D, if the test sensitivity and specificity both equal 0.80, and the prevalence is 0.05, then the predictive values for the test are respectively 0.17 and 0.99 (point D graphed in Fig. 3b), and the NNT values in the positive and negative test groups are respectively 5.8 and 77.0 (point D graphed in Fig. 3c)