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Table 2 Diagnostic Accuracy of the Neurobehavioral Screening Tool

From: The cost-effectiveness of screening tools used in the diagnosis of fetal alcohol spectrum disorder: a modelled analysis

Study

Study Information

Criteria for Positive Screen

Sensitivity (SD)a

Specificity (SD) a

1. LaFrance et al., 2014 [30]

Sample Size = 80

Positives Included = 48

Positive Cases = Children with FASD diagnosis.

Controls = Typically developing children.

Average Age = 12

≥ 6 of items 1–7 or ≥ 3 of items 1–4.

63% (6.9%)

100% b (1.7%)

2. Breiner et al., 2013 [31]

Sample Size = 60

Positives Included = 17

Positive Cases = Children with FASD diagnosis.

Controls = 18 children suspected for FASD but for whom diagnosis could not be confirmed and 25 typically developing children.

Median Age = 5 c

≥ 5 of items 1, 2, 4–8.

94% (5.6%)

96% (3.0%)

3. Nash et al., 2011 [32]

Sample Size = 109

Positives Included = 56

Positive Cases = Children with FASD diagnosis.

Controls = Typically developing children.

Average Age = 10

Sample Size = 106

≥ 3 of items 1–10

98% (1.9%)

42% (6.7%)

Positives Included = 56

Positive Cases = Children with FASD diagnosis.

Controls = Children with ADHD diagnosis.

Average Age = 10

≥ 2 of items 1, 4, 8, 9, 10.

89% (4.1%)

42% (6.9%)

4. Nash et al., 2006 [33]

Sample Size = 60

Positives Included = 30

Positive Cases = Children with FASD diagnosis.

Controls = Typically developing children.

Median Age = 11 c

≥ 6 of items 1–7

86% (6.2%)

82% (6.9%)

Sample Size = 60

Positives Included = 30

Positive Cases = Children with FASD diagnosis.

Controls = Children with ADHD diagnosis.

Median Age = 11 c

≥ 3 of items 1, 4, 8, 9, 10.

81% (7.0%)

72% (8.1%)

  1. a If SD were not reported, they were calculated using the beta distribution variance formula
  2. b Sensitivity and specificity were assumed to be 99% instead of 100%, as the beta distribution calculates an SD of 0 for mean values of 100%
  3. c If the average age of study participants was not provided, the median was reported