1. Table 1 be?ow shows results obtained in a new screening test for diabetes. 10
ID: 257601 • Letter: 1
Question
1. Table 1 be?ow shows results obtained in a new screening test for diabetes. 10,000 people wried a cut-off level employed was 180mg of blood glucose per 100 ml. Everyone scoring positive for diabetes. Everyone scoring below this level was classified as negative for compared to a "gold standard" test for diabetes that is considered to be completely valid. classified as this level was iswere diabetes. These results were sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NP) of the Table 1. "Gold-Standard" Test Screening Disease Total 25 9475 9500 Positive 125 375 500 150 9850 10000 Negative Total Sensitivity-1a5 Specificity PPV NPV 2. The screening cut-off point was lowered to 130mg of blood glucose per 100ml. Using this cut-off point, 230 people tested positive on the screening test. of these, 66 people tested negative on the diagnostic test (that is, they did not have diabetes). This yields Table 2. Compute the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the new screening test using the lower cut-off point. "Gold-Standard" Test DiseaseTotal Disease 164 336 500 230 9770 10000 Positive 9434 Negative 9500 Total Sensitivity Specificity PPV- NPV =Explanation / Answer
AS PER CHEGG POLICY, PROCEEDING TO ANSWER A MINIMUM OF FIRST QUESTION, OR, FIRST 4 SUB-QUESTIONS / PARTS / SUBPARTS, THAT IS, IN THIS CASE ONLY QUESTION 1, UNLESS SPECIFIED/INDICATED TO DO SPECIFIC QUESTIONS BY THE QUESTION UPLOADER:
True Positive a = 125
False Negative b= 375
False Positive c = 25
True Negative d= 9475
Sensitivity = True Positive / (True Positive + False Negative) = a / (a + b) = 25%
Specificity = True Negative / (False Positive + True Negative) = d / (c + d) = 99.74%
Positive Prediction Value (PPV) = True Positive / (True Positive + False Positive) = a / (a + c) = 83.33%
Negative Prediction Value (NPV) = True Negative / (False Negative + True Negative) = d / (b + d) = 96.19%
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