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Calculation of sensitivity of primary screening
Variables for use with listed formulae:
Final smear report | ||||
Abnormal | Normal | |||
HSIL+ | ASCUS/LSIL | Negative/Inadequate | ||
Cervical smear report prior to QC check | Abnormal | a | b | c |
Normal | d | e | f |
Sensitivity of primary screening= abnormals identified correctly before QC check / abnormals identified after QC check x100
Overall sensitivity of primary screening= a + b / a+b+c+d x 100
Sensitivity of primary screening for HS I L+ = a+f / a+d x 100
Definition of sensitivity and specificity
Sensitivity: The sensitivity of the test is defined as the proportion of subjects with the disease correctly identified as positive out of all persons (tested) with the disease
Specificity: The specificity of a test is defined as the rate of correctly identified persons without disease in relation to all persons (tested) without disease
![](http://lnx.eurocytology.eu/sites/default/files/styles/max/public/images/target%20population.jpg?itok=3au5vHKj)
Method of calculation of sensitivity and specificity and false negative rate of the cervical smear test (Pap test) using histology as the gold standard
Pap test | Outcome | |
Positive | Negative | |
Positive | True positive Pap test (A) | False Positive Pap test (B) |
Negative | False negative Pap test (C) | True positive Pap test (D) |
Sensitivity= | A / A+C | True Positive / True Positive + False Negative |
Specificity = | D / D+B | True Negative / False Positive + True Negative |
False negative rate = 1- sensitivity
False positive rate = 1- specificity
Method of calculation of Positive Predictive Value & Negative Predictive Value using Histology as the Gold Standard
Positive predictive value | A / A+B |
Negative predictive value | C / C+D |
The PPV of a Pap test reflects the accuracy with which an abnormal smear result predicts cervical neoplasia. The NPV of a Pap test reflects the accuracy with which a negative smear result predicts absence of disease.
Predictive values depend on the prevalence of CIN & cervical cancer in the population. The predictive values will vary according to whether the population screened are at high risk or low risk of cervical cancer.