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
Interpret a sensitivity of 0.88 or 88%
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
Define specificty
What percentage of people who don't have the disease are correctly identified as not having the disease. For ruling in disease
27
Interpret specificity of 41%
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
What is the calculation for sensitivity?
True positive / (true positive + false negative)
29
What is the calculation for specificity?
`True negative / (true negative + false positive)
30
What does a high sensitivity mean?
Lower false negative rate
31
What does high specificity mean?
Lower false positive rate
32
How do you calculate false positives?
False positive / (false positive + true negative)
33
How do you calculate false negative rate?
False negative / (false negative + true positive)
34
What is precision?
How narrow the confidence intervals are (usually 95%)
35
Define confidence intervals
95% of the time the result would fall within this limit. | Remember to consider what the worst would be!
36
Define applicability/generalisability
Applicable to the population? Can the index test be applied in your healthcare setting?
37
How do you know if a result is comparable different?
Confidence intervals don't overlap