Diagnostic Test Accuracy Flashcards

1
Q

What are DTAs?

A

Studies used to tell us about the accuracy of medical tests

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2
Q

When is a test useful?

A

When it changes the ability to predict whether a patient has a condition or not

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3
Q

What effect should a test result have on diagnosis?

A

It should alter the probability of diagnosing the condition

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4
Q

Why can’t one assume that the evaluated test accuracy is the same in different contexts, even if the same diagnostic test is used?

A

A change of context results in a change of accuracy and change of probability of outcome of the diagnostic test

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5
Q

Why should diagnostic tests be evaluated?

A

To avoid adoption of non-useful, non-beneficial or harmful diagnostic tests
To choose the most cost-effective of the useful diagnostic tests

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6
Q

What are the two criteria that diagnostic tests have to meet to be implemented?

A

To be proven as safe
To be proven to measure what they say they measure

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7
Q

What is important factor is not required to be proven when a diagnostic test is implemented?

A

The usefulness of the test in diagnosis

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8
Q

What evidence is not required when a diagnostic test is implemented?

A

The overall benefit of the diagnostic test
How the diagnostic test is best used

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9
Q

What are some consequences of using inappropriate diagnostics?

A

Anxiety, discomfort and pain
Unnecessary further investigations
Waste of money
False positive results, which cause unnecessary stress and investigation
False negative results, which causes false reassurance and allows the disease to progress unnoticed

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10
Q

Other than different accuracy, give some positive ways in which diagnostic tests can impact on patient outcomes

A

Safer, easier to perform, faster results, less invasive,

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11
Q

What is required for a diagnostic test to have potential value?

A

It must be evaluated as accurate

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12
Q

Give three reasons why DTA studies are useful

A

They are readily available, unlike RCTs
They do not required prohibitively big sample sizes
Answers are obtained quickly

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13
Q

What are the two dimensions of test accuracy?

A

Sensitivity and specificity

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14
Q

What does sensitivity measure?

A

The proportion of individuals with the disease

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15
Q

What does specificity measure?

A

The proportion of individuals without the disease who have negative results (true negative)

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16
Q

What is the inverse of sensitivity?

A

False negative rate

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17
Q

What is the false negative rate?

A

The proportion of individuals with the disease but a negative test

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18
Q

What is the inverse of specificity?

A

False positive rate

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19
Q

What is the false positive rate?

A

The proportion of individuals without the disease but with a positive test

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20
Q

What acronym gives the DTA evaluation components?

A

PITR

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21
Q

What does the P stand for in P?

A

Participants or population

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22
Q

Give two examples of things which would fall under the participants/population component of DTA evaluation

A

Presentation
Prior tests

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23
Q

What does the I stand for in PITR?

A

Index test

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24
Q

What is the index test?

A

The new diagnostic test which is being evaluated

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25
What must be considered when evaluating the index test?
Whether the test is affected by the conductor or skill of the officer Whether the test is affected by technology
26
What does the T stand for in PITR?
Target disorder
27
What is the Target disorder?
The condition that we want the index test to indentify
28
What does the R stand for in PITR?
Reference standard
29
What is a reference standard?
The most accurate method available to detect the target disorder
30
What statistical check must be done is different reference standards are used for index positive and index negative patients?
It must be assessed whether there is a statistically significant difference between the two reference standard tests
31
What role does the reference standard play?
It is a control
32
What is Blinded Cross Classification?
A comparison of the index test and the reference standard test results for detection of a target disorder
33
What are the three source of bias which can arise in DTA evaluation?
Spectrum bias, review bias, verification bias
34
What is spectrum bias?
Purposefully excluding 'difficult to diagnose' patients
35
What effect does spectrum bias have on the DTA evaluation?
The index test appears more accurate at diagnosing than it is
36
How can spectrum bias be avoided?
Clear descriptions of the characteristics of the population Avoidance of inappropriate exclusions
37
What is review bias?
When the interpretation of an index test is not independent and blind to the reference standard
38
What effect does review bias have on the DTA evaluation?
It makes the index test seem more accurate than it is
39
How can review bias be avoided?
Ensure interpretation of the index test was independent and blinded to interpretation of the reference standard, and vice versa
40
What is verification bias?
The tendency not to give the reference standard test to patients who were negative on the index test, because the reference
41
What is verification bias?
The tendency not to give the reference standard test to patients who were negative on the index test, because the reference standard is more invasive
42
How can verification bias be avoided?
Ensure all patients have both the index test and reference standard test, regardless of result
43
What is the effect of verification bias on the DTA evaluation?
Over/underestimation of the index test accuracy
44
What four questions need to be asked to apply the results of a DTA evaluation/what factors contribute to the impact of test use on patient outcomes?
Was there a clear study question? Is the study population similar to patients in my practice? Can the index test be applied in the same way in my healthcare setting? Does the definition of the target condition match the condition I want to identify in my practice?
45
What are the four steps to critically appraising a DTA study?
Construct a diagnostic 2*2 table Assess sensitivity and specificity Assess precision for the estimates of accuracy Evaluate consequences for patients
46
What is sensitivity (in a DTA)?
The proportion of true positive results in individuals with the target condition
47
How is sensitivity calculated?
True positive results/True positive results + False negative results
48
What does sensitivity indicate in terms of usefulness of the test?
How good a test is at ruling out a condition
49
What does sensitivity indicate in terms of false results?
The magnitude of false negatives
50
How can sensitivity be expressed in terms of probability?
The probability that a patient has a positive test, given that they have the disease
51
A negative test with high sensitivity will be better at doing what?
Ruling out a condition
52
When is a highly sensitive test less reliable?
When the test result is positive
53
What does a highly sensitive test have fewer of?
False negatives
54
If a patient is negative on an index test with high sensitivity, what does this mean statistically?
They are statistically more likely to be a true negative
55
What is specificity (in a DTA)?
The proportion of true negative results in those without the target condition
56
How is specificity calculated?
True negative results/True negative results + False positive results
57
What does specificity indicate in terms of usefulness of a test?
How good a test is at ruling in a condition
58
What does specificity indicate in terms of false results?
The magnitude of false positives
59
How can specificity be expressed in terms of probability?
The probability that the result is negative, given that the patient is well
60
A positive test with high specificity will be better at doing what?
Ruling in a condition
61
When is a highly specific test less reliable?
When the result is negative
62
What does a highly specific test have fewer of?
False positives
63
If a patient is positive on an index test with high specificity, what does this mean statistically?
They are more likely to be a true positive
64
When is a test considered uninformative?
When specificity or sensitivity are below 50%
65
What is used to assess the precision of an estimate of accuracy of a diagnostic test?
Confidence intervals
66
Give 3 consequences of false positives for patients
Unnecessary intervention with associated risks Unnecessary stress and anxiety Waste of money and time
67
Give 3 consequences of false negatives for patients
Delayed diagnosis Disease progression Need for more invasive intervention later