Diagnostic Testing and Screening Flashcards

1
Q

What is a screening test?

A

A test administered to a group of asymptomatic people to detect signs of a disease. (not diagnostic, it just indicates whether or not someone may have condition)

Test identifies:

Pre-disease abnormality

Early disease

Disease risk markers

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2
Q

What does the WHO define screening as?

A

Presumptive identification of unrecognised disease or defects by means of tests, examinations or other procedures that can be applied rapidly.

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3
Q

What is the aim of screening for a disease or a risk marker for a disease?

A

To reduce burden of disease, morbidity from the disease or mortality

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4
Q

What are potential risks of screening?

A

False negatives

False positives

Over-diagnosis

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5
Q

What should the outcome of screening be?

A

Screening should do more good than harm

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6
Q

What is diagnostic testing?

A

Identifies whether a person does or does not have a particular condition.

Research studies compare diagnostic testing to compare accuracy to a reference test or a gold standard.

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7
Q

What kind of testing is idea for diagnostic studies?

A

Cross-sectional survey prospective with blind comparison to gold standard

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8
Q

How are diagnostic tests conducted?

A

Researchers give all participants gold standard tests and index tests then the results are compared.

Number of true positives and negatives as well as false positives and negatives are derived and specificity/sensitivity of a test is calculated.

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9
Q

What is sensitivity a measure of?

A

True positives/all disease positives.

Provides information about how well a test performs in detecting disease in people who have the disease.

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10
Q

What is specificity a measure of?

A

True negatives/all disease negativites

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11
Q

What are the key questions to ask when appraising the validity (risk of bias) of a diagnostic study?

A

Was there a clear question for the study to address? (patients in test should include patients with high, medium, and low probability of target disease)

Is the comparison with an appropriate reference standard? (Is standard measure able to provide proof that target disorder is present/not present?)

Did all participants get both tests?

Could the results of the test of interest have been influenced by the results of the reference standard or vice versa? (this can be addressed with a blind study. Results should be decided separately and without knowing the other result)

Was there a clear description of the disease/condition status of the tested population? (Type of patients can affect study results)

Was there sufficient description of the methods for performing the test? (Results should be reproducible and should address the question adequately)

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12
Q

What are the measures for specificity and sensitivity of a diagnostic tool clinically?

A

Positive Predictive Value (PPV) [probability that a patient has a disease if he or she has a positive test]

Negative Predictive Values (NPV) [Probability that a patient doesn’t have the disease if he/she has a negative test]

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13
Q

What factors are used for determining the utility of a test in predicting the presence or absence of a condition or disease?

A

The statistics

Positive Predictive Value

Negative Predictive Value

Sensitivity

Specificity

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14
Q

What are the consequences of low sensitivity?

A

People with disease are missed

False reassurance that people do not have the disease

People might delay seeking treatment

Costs without benefits

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15
Q

What are the consequences of low specificity?

A

People who do not have the disease believe they do

Unnecessary anxiety

Unnecessary investigative procedures

Costs will increase with no compensating benefits.

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16
Q

What is the effect of prevalence on specificity, sensitivity and positive predictive value?

A

Sensitivity and specificity are not affected by prevalence but the positive predictive value of a test is dependent on the prevalence of the disease in the population being tested.

17
Q

What are likelihood ratios useful for?

A

Alternate method of assessing the performance of diagnostic test which is not affected by prevalence.

LRs express how many times more (or less) that a test result is to be found in diseased, compared to non-diseased people.

18
Q

What does positive and negative likelihood ratio tell us?

A

Positive = positive test in patients with disease / positive test in patients without disease

Negative = Negative test in patients with disease/nagative test in patients without the disease

19
Q

How is an LR test interpretted?

A

Higher it is for positive = better test for diagnosing disease

Lower it is for negative = better at diagnosing non-disease

+LRs >10 and -Lrs<0.1 are powerful tests