shirini2
Forum Senior
Topics: 27
Posts: 86
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A new test is being evaluated for the diagnosis of a pulmonary embolus. Studies indicate that a positive test result has the likelihood ratio of 15, and that a negative test result has a likelihood ratio of 0.85. Which one of the following is a correct conclusion?
1) This test may be helpful for ruling in a pulmonary embolus.
2) This test is highly sensitive for pulmonary emboli.
3) This test will be very helpful in a clinical setting.
4) This test has a negative predictive value is 85%.
5) This test is very reliable.
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| tamerbashir
Forum Elite
Topics: 21
Posts: 285
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2 - increae false +ve increase sensitvity ?
need explaination very weak in statics
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| cool doctor
Forum Junior
Topics: 1
Posts: 231
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4
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| shirini2
Forum Senior
Topics: 27
Posts: 86
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thanks cool doctor. I think 4 too but wasn't sure. could you give any explanation for that?
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| arlete
Half way there!
Topics: 43
Posts: 3,095
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"likelihood ratio is the likelihood that a given test result would be expected in a patient with a certain disorder compared to the likelihood that that same result would occur in a patient without the target disorder."
So, it's sensitivity, right? I think it's 2.
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| anastamosis
Forum Senior
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2. agree with arlete
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| shirini2
Forum Senior
Topics: 27
Posts: 86
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OK. Thank you. 
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