If the sensitivity of the test is 90%, how many false negatives would there be in this population? [Round to the nearest whole number. Hint: Draw your square/matrix and figure out which information goes where.]

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Sampleton is a small rural village in rural Brazil that has a population of 5,000 with high rates of heart disease. To identify
people at risk of developing heart disease, public health workers conduct a village-wide cholesterol screening to identify
everyone with high cholesterol - a risk factor for heart disease. They find that 25% of the population has "high" total cholesterol
values, defined as 240mg/dL and above.
If the sensitivity of the test is 90%, how many false negatives would there be in this population? [Round to the nearest whole
number. Hint: Draw your square/matrix and figure out which information goes where.]
O1125
3375
O 125
4500
Test
Sensitivity &
Specificity
e
A
True Positive (TP)
Disease
C
False Negative (FN)
Sensitivity
TP
A
TP + FN A+C
=
All diseased patients
(A + C)
B
False Positive (FP)
D
True Negative (TN)
Specificity
TN
B
FP+TN B+D
=
All non-diseased
patients
(B+ D)
Predictive Value
Positive Predictive Value
(PPV)
TP
A
TP+FP A+B
=
Negative Predictive Value
(NPV)
TN
FN+TN
=
D
C+D
Total
Positive
Results
(A + B)
Total
Negative
Results
(C+D)
Transcribed Image Text:Sampleton is a small rural village in rural Brazil that has a population of 5,000 with high rates of heart disease. To identify people at risk of developing heart disease, public health workers conduct a village-wide cholesterol screening to identify everyone with high cholesterol - a risk factor for heart disease. They find that 25% of the population has "high" total cholesterol values, defined as 240mg/dL and above. If the sensitivity of the test is 90%, how many false negatives would there be in this population? [Round to the nearest whole number. Hint: Draw your square/matrix and figure out which information goes where.] O1125 3375 O 125 4500 Test Sensitivity & Specificity e A True Positive (TP) Disease C False Negative (FN) Sensitivity TP A TP + FN A+C = All diseased patients (A + C) B False Positive (FP) D True Negative (TN) Specificity TN B FP+TN B+D = All non-diseased patients (B+ D) Predictive Value Positive Predictive Value (PPV) TP A TP+FP A+B = Negative Predictive Value (NPV) TN FN+TN = D C+D Total Positive Results (A + B) Total Negative Results (C+D)
Using the above information, calculate the specificity of the screening if the intervention produced 3,188 true negatives.
85
O 75
O 65
90
Test
☺
Sensitivity &
Specificity
Disease
True Positive (TP)
с
False Negative (FN)
Sensitivity
TP
A
TP + FN A+C
All diseased patients
(A + C)
B
False Positive (FP)
D
True Negative (TN)
Specificity
TN
FP+TN
B
B+D
All non-diseased
patients
(B+ D)
Predictive Value
Positive Predictive Value
(PPV)
TP
A
TP + FP A+B
Negative Predictive Value
(NPV)
TN
FN+TN
=
D
C+D
Total
Positive
Results
(A + B)
Total
Negative
Results
(C + D)
Transcribed Image Text:Using the above information, calculate the specificity of the screening if the intervention produced 3,188 true negatives. 85 O 75 O 65 90 Test ☺ Sensitivity & Specificity Disease True Positive (TP) с False Negative (FN) Sensitivity TP A TP + FN A+C All diseased patients (A + C) B False Positive (FP) D True Negative (TN) Specificity TN FP+TN B B+D All non-diseased patients (B+ D) Predictive Value Positive Predictive Value (PPV) TP A TP + FP A+B Negative Predictive Value (NPV) TN FN+TN = D C+D Total Positive Results (A + B) Total Negative Results (C + D)
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