Cancer Screening: Evidence Basics

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evidence-based screening concepts

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Brandon

Reino Unido

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Froggy Jumps Cancer Screening: Evidence BasicsVersión en línea evidence-based screening concepts por Brandon 1 What does sensitivity measure in a cancer screening test? a The proportion of people with cancer who test positive b The proportion of positive tests that are actually cancer c The proportion of people without cancer who test negative 2 What does specificity measure? a Probability the test is positive if disease is present b Probability the disease is present if the test is negative c Probability the test is negative if disease is absent 3 What is Positive Predictive Value (PPV)? a Probability the test is positive given disease is present b Probability the disease is absent given a negative test c Probability the disease is present given a positive test 4 What is Negative Predictive Value (NPV)? a Probability disease is present given a negative test b Probability the test is positive given no disease c Probability the disease is absent given a negative test 5 Which metric is directly affected by disease prevalence: PPV, NPV, or both? a Specificity only b Sensitivity only c Both PPV and NPV 6 With 90% sensitivity and 90% specificity, and disease prevalence 1%, what is approximate PPV? a About 8% b About 90% c About 50% 7 Which measures are generally independent of disease prevalence? a All three measures b PPV and NPV c Sensitivity and specificity 8 In a high-prevalence setting, what happens to PPV? a PPV increases b PPV decreases c PPV stays the same 9 What is the false positive rate? a Sensitivity plus specificity b 1 minus specificity c 1 plus specificity 10 If sensitivity 95%, prevalence 20%, what is PPV roughly? a About 83% b About 50% c About 99%

Froggy Jumps

Cancer Screening: Evidence BasicsVersión en línea

evidence-based screening concepts

por Brandon

What does sensitivity measure in a cancer screening test?

The proportion of people with cancer who test positive

The proportion of positive tests that are actually cancer

The proportion of people without cancer who test negative

What does specificity measure?

Probability the test is positive if disease is present

Probability the disease is present if the test is negative

Probability the test is negative if disease is absent

What is Positive Predictive Value (PPV)?

Probability the test is positive given disease is present

Probability the disease is absent given a negative test

Probability the disease is present given a positive test

What is Negative Predictive Value (NPV)?

Probability disease is present given a negative test

Probability the test is positive given no disease

Probability the disease is absent given a negative test

Which metric is directly affected by disease prevalence: PPV, NPV, or both?

Specificity only

Sensitivity only

Both PPV and NPV

With 90% sensitivity and 90% specificity, and disease prevalence 1%, what is approximate PPV?

About 8%

About 90%

About 50%

Which measures are generally independent of disease prevalence?

All three measures

PPV and NPV

Sensitivity and specificity

In a high-prevalence setting, what happens to PPV?

PPV increases

PPV decreases

PPV stays the same

What is the false positive rate?

Sensitivity plus specificity

1 minus specificity

1 plus specificity

If sensitivity 95%, prevalence 20%, what is PPV roughly?

About 83%

About 50%

About 99%

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Cancer Screening: Evidence Basics

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Cancer Screening: Evidence BasicsVersión en línea

por Brandon

What does sensitivity measure in a cancer screening test?

What does specificity measure?

What is Positive Predictive Value (PPV)?

What is Negative Predictive Value (NPV)?

Which metric is directly affected by disease prevalence: PPV, NPV, or both?

With 90% sensitivity and 90% specificity, and disease prevalence 1%, what is approximate PPV?

Which measures are generally independent of disease prevalence?

In a high-prevalence setting, what happens to PPV?

What is the false positive rate?

If sensitivity 95%, prevalence 20%, what is PPV roughly?

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