Diagnostic Tests Flashcards

1
Q

what are diagnostic tests for

A

helping you rule in or out particular medical and physical problems in order to reach a diagnosis

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2
Q

what signals PTs when doing a special test

A

provocation of symptoms
pain in an area
abnormal signs or symptoms

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3
Q

why are diagnostic tests important

A

informing patient care and evaluating treatment benefit

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4
Q

how do diagnostic tests inform patient care

A

accurate diagnosis informs the selection of the most appropriate treatment

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5
Q

why are diagnostic tests for PTs

A

primary care providers that may be in a situation to make a diagnosis

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6
Q

what are three things that you want to know about a special test

A

are they reproducible/accurate
how often do they affect clinical decision making
do they have adverse effects

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7
Q

highly sensitive tests will

A

produce many true positives and false positives

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8
Q

highly specific tests will produce

A

less false positives and more true negatives

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9
Q

what is a true positive

A

diagnostic test is positive in those with the diagnosis

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10
Q

what is a true negative

A

diagnostic is negative in those without the diagnosis

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11
Q

what is a false positive

A

diagnostic test is positive in those without the diagnosis

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12
Q

what is a false negative

A

diagnostic is negative in those who have the diagnosis

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13
Q

diagnostic tests that have high sensitivity are good at

A

identifying true positives in a large sample

also will produce many false positives due to low trigger threshold

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14
Q

what are highly sensitive tests used for

A

ruling out a problem or rejecting possible diagnosis

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15
Q

highly specific tests identify ____

A

identifying true negatives due to high trigger threshold

also will produce many false negatives

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16
Q

what are highly specific tests good for

A

rule in a problem or confirm a diagnosis

17
Q

when is a diagnostic test result clinically useful

A

test with high sensitivity having a negative result

test with high specificity having a positive result

18
Q

what is a positive likelihood ratio

A

ratio of the likelihood of positive result in someone with the disease to the likelihood of that result in someone without the disease

19
Q

what # of likelihood ratio means what

A

2-5 = small likelihood of positive
5-10 = moderate likelihood of positive
>10 = conclusive for confirming patho

20
Q

what is a negative likelihood ratio

A

ratio of the likelihood of a negative result in someone with the disease to that of the result in someone without the disease

21
Q

what negative likelihood ratio means what

A

0.2-0.5 = small likelihood of absence
0.1-0.2 = moderate likelihood of abs
<0.1 = conclusive in the absence of patho

22
Q

what is the positive predictive value

A

probability that the patient truly has disease if there is a positive diagnostic test

23
Q

how to calculate ppv

A

of true pos + # of false pos

number of true positives / (number of true positives + number of false positives)

24
Q

what is negative predictive value

A

probability that the patient does not have the disease if they have a negative test

25
Q

how to calculate negative predictive value

A

number of true negative / number of false + true negatives

26
Q

what is pretest probaility vs post test probability

A

probability that a patient has the pathology before/after a diagnostic test is conducted

27
Q

if there is a higher incidence of pathology then

A

there will be a higher pre-test probability of pathology being present

28
Q

when using a cluster, what happens to diagnostic accuracy

A

increases greatly