# What is the meaning of negative predictive value?

## What is the meaning of negative predictive value?

Listen to pronunciation. (NEH-guh-tiv preh-DIK-tiv VAL-yoo) The likelihood that an individual with a negative test result is truly unaffected and/or does not have the particular gene mutation in question. Also called NPV.

What is the negative predictive value of the new test?

Negative predictive value: Negative predictive value is the proportion of the cases giving negative test results who are already healthy (3). It is the ratio of subjects truly diagnosed as negative to all those who had negative test results (including patients who were incorrectly diagnosed as healthy).

What is the difference between sensitivity and PPV?

Positive predictive value will tell you the odds of you having a disease if you have a positive result. This can be useful in letting you know if you should panic or not. On the other hand, the sensitivity of a test is defined as the proportion of people with the disease who will have a positive result.

### Is a high negative predictive value good?

The more sensitive a test, the less likely an individual with a negative test will have the disease and thus the greater the negative predictive value. The more specific the test, the less likely an individual with a positive test will be free from disease and the greater the positive predictive value.

What is better sensitivity or PPV?

The Positive Predictive Value definition is similar to the sensitivity of a test and the two are often confused. However, PPV is useful for the patient, while sensitivity is more useful for the physician. Positive predictive value will tell you the odds of you having a disease if you have a positive result.

The negative predictive value is defined as: where a ” true negative ” is the event that the test makes a negative prediction, and the subject has a negative result under the gold standard, and a ” false negative ” is the event that the test makes a negative prediction, and the subject has a positive result under the gold standard.

What does a negative predictive value of 48/56 mean?

That means the negative predictive value is 85% (48/56). High sensitivity tests make the negative predictive value increase. That’s because more people who are actually positive have a positive test result on a high sensitivity test and there are fewer false negatives.

#### How does sensitivity affect negative predictive value?

How Various Factors Affect Negative Predictive Value. Negative predictive value goes down as a disease becomes more common in a population. In contrast, positive predictive value goes up. Similarly, high sensitivity tests make the negative predictive value increase. That’s because there are fewer false negatives.