Table 1 below shows results obtained in a new screening test for diabetes. 10,000 people were screened. The cut-off level employed was 180mg of blood glucose per 100 ml. Everyone scoring above this level was classified as positive for diabetes. Everyone scoring below this level was classified as negative for diabetes. These results were compared to a “gold standard” test for diabetes that is considered to be completely valid. Compute and interpret the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the new screening test.
Table 1.
"Gold-Standard" Test |
|||
Screening |
Disease |
No Disease |
Total |
Positive |
125 |
25 |
150 |
Negative |
375 |
9475 |
9850 |
Total |
500 |
9500 |
10000 |
Sensitivity =
Specificity =
PPV =
NPV =
Answer: Table 1 below shows results obtained in a new screening test for diabetes. 10,000 people were screened. The cut-off level employed was 180mg of blood glucose per 100 ml. Everyone scoring above this level was classified as positive for diabetes. Everyone scoring below this level was classified as negative for diabetes.
Solution:
a)
Sensitivity = (True positive / Total disease)*100
Sensitivity = (125/500)*100
Sensitivity = 25%
Specificity = (True negative/Total no disease)*100
Specificity = (9475/9500)*100
Specificity = 99.7368% = 99.74%
PPV = (True positive/Total test positive)*100
PPV = (125/150)*100
PPV = 83.33%
NPV = (True negative/Total test negative)*100
NPV = (9475/9850)*100
NPV = 96.1929% = 96.20%
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