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Negative predictive value
The negative predictive value is the proportion of patients with negative test results who are correctly diagnosed.
Additional recommended knowledge
Hence with large numbers of false positives and few false negatives, a positive FOB screen test is in itself poor at confirming cancer (PPV=10%) and further investigations must be undertaken, it will though pickup 66.7% of all cancers (the sensitivity). However as a screening test, a negative result is very good at reassuring that a patient does not have cancer (NPV=99.5%) and at this initial screen correctly identifies 91% of those who do not have cancer (the specificity).
The Negative Predictive Value can be defined as:
|This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Negative_predictive_value". A list of authors is available in Wikipedia.|