DTA Flashcards

1
Q

What type of study do you use for evaluating diagnosis test accuracy?

A

Special cross-sectional study

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2
Q

What is meant by the evaluation bypass?

A

unevaluated procedure bypasses evaluation and becomes taken up by healthcare services

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3
Q

What can cause an evaluation bypass?

A

enthusiasm, convictions, commercial pressures

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4
Q

What makes a test useful?

A

If it changes our ability to predict whether a person has a condition or not. (guides treatment options)

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5
Q

What should a test result do?

A

Alter the probability of a condition being the suspected condition

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6
Q

Define test accuracy

A

The usefulness of a test result in diagnosing a patient. How good it the test at spotting who does/doesn’t have the disease?

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7
Q

Define diagnostic yield

A

How much information a diagnostic test can give - informs diagnosis

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8
Q

Define therapeutic yield

A

The amount it can impact the treatment decision

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9
Q

What do you need to consider beyond accuracy?

A

Harms - e.g. radiation, anxiety
Also is it reproducible? Would someone else doing the test get the same result?
More accurate may not improve outcomes - could be too late to intervene, may not change therapeutic input.

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10
Q

Tests for screening are…

A

Used for early identification of disease in asymptomatic patients (e.g. mammography)

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11
Q

Tests for monitoring are..

A

Used to monitor treatment response (e.g. blood glucose)

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12
Q

What do you compare for test accuracy?

A

Index Test and Reference Standard

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13
Q

What is the index test?

A

The disease state estimated by the test of interest

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14
Q

What is the reference standard?

A

The best estimate of true disease state (most accurate existing test)

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15
Q

What is blinded-cross classification and when is it used?

A

Comparison of the index test and reference standard. Compare the results blinded (without knowing)

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16
Q

What are the components of a test accuracy question?

A

Participants, index test, target disorder, reference standard

17
Q

What are the components of participants in a test accuracy question?

A
  1. Presentation - presence, duration and severity of symptoms
  2. Prior test - have they been examined or self diagnosis, any bloods before
18
Q

What components of the index test are important in a test accuracy question?

A
  • Could be more than 1
  • Could be a new test or unevaluated test
  • Assumed to be less accurate than the reference standard
  • Availability in primary versus secondary care
  • Interpretation by the operator
19
Q

What is the reference standard?

A

Most accurate and feasible method of detecting a target disorder, ‘gold standard’
Could be multiple tests

20
Q

What are the parts of critical appraisal of a DTA study?

A
  1. Internal validity (bias)
  2. What are the results (numerical expression of test accuracy)
  3. Can I apply the results to my patient? (generalisability)
  4. What would be the impact of using the index tests in my population?
21
Q

Define spectrum bias

A

Specific groups of patients are inappropriately excluded (e.g. difficult to diagnose patients). Makes the index test appear more accurate (selection bias)

22
Q

Define review bias

A

Interpretation of the index test not independent to the reference standard. More common with subjective tests. Index test not blinded on interpretation.

23
Q

Define verification bias

A

Not all participants get the index test and the reference standard. Often seen if the index test is negative

24
Q

Define sensitivity

A

What percentage of people with the disease are picked up by the index test? Good at ruling people out.

25
Q

Interpret a sensitivity of 0.88 or 88%

A

88% of people who have the disease will be correctly identified by the index test.
12% of people will have a false negative - told they don’t have the disease when they do

26
Q

Define specificty

A

What percentage of people who don’t have the disease are correctly identified as not having the disease. For ruling in disease

27
Q

Interpret specificity of 41%

A

41% of people who don’t have the disease are correctly told they don’t have the disease
59% of people who are given a negative result actually have the disease

28
Q

What is the calculation for sensitivity?

A

True positive / (true positive + false negative)

29
Q

What is the calculation for specificity?

A

`True negative / (true negative + false positive)

30
Q

What does a high sensitivity mean?

A

Lower false negative rate

31
Q

What does high specificity mean?

A

Lower false positive rate

32
Q

How do you calculate false positives?

A

False positive / (false positive + true negative)

33
Q

How do you calculate false negative rate?

A

False negative / (false negative + true positive)

34
Q

What is precision?

A

How narrow the confidence intervals are (usually 95%)

35
Q

Define confidence intervals

A

95% of the time the result would fall within this limit.

Remember to consider what the worst would be!

36
Q

Define applicability/generalisability

A

Applicable to the population? Can the index test be applied in your healthcare setting?

37
Q

How do you know if a result is comparable different?

A

Confidence intervals don’t overlap