Diagnosis (part 1) Flashcards

1
Q

What types of studies assess diagnostic accuracy?

A

Cross-sectional studies
RCTs
Screening
Systematic reviews

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2
Q

Describe cross-sectional studies

A
  • Accuracy of the test at a point in time.
  • Compare with gold standard
  • Gold standard could be hindsight (correct diagnosis apparent with time)
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3
Q

What are the two types of cross-sectional studies?

A

Cohort - sample population suspected of having diagnosis (not known until after enrolment)

Case-control - one group clearly has diagnosis and other doesn’t (known at enrolment)
— prone to bias

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4
Q

When are RCTs used in diagnostics?

A

Usually to see if testing affects outcomes (e.g. Routine XR improve pt Mx with LBP?)

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5
Q

How is screening used?

A

Applies diagnostic tests to subjects who are NOT presenting with a disorder/complaint.

Effectiveness of screening by RCT, e.g. early detection helps…

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6
Q

What does SENSITIVity refer to?

A

Correctly identifying people who HAVE the disease.

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7
Q

How is SENSITIVity calculated?

A

From people who actually have the disease:

Correctly diagnosed WITH disease/total with disease

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8
Q

Is a high sensitivity always good?

A

No. Could just always be a positive test.

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9
Q

What does SPECIFity refer to?

A

Identify “well” people (no disease)

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10
Q

How is SPECIFity calculated?

A

From people who actually DON’T have the disease:

Correctly diagnosed WITHOUT disease/total without disease

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11
Q

What is the PPV?

A

Positive predictive value.

- chance that a positive test result will be correct.

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12
Q

How is the PPV calculated?

A

From only the POSITIVE test results:

Correctly diagnosed with disease/total DIAGNOSED

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13
Q

What is the NPV?

A

Negative predictive value.

- the chance that a negative test result will be correct.

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14
Q

How is the NPV calculated?

A

From only the NEGATIVE test results:

Correctly diagnosed WITHOUT the disease/total DIAGNOSED WITHOUT disease

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15
Q

How does the sensitivity, specificity, PPV and NPV change with a disease prevalence?

A

Sensitivity and specificity stay the same.

PPV falls with lower prevalence but NPV will rise.

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16
Q

If the specificity of a test is 88%, what percentage of patients will have the same symptoms but no disease?

A

12%

1 - specificity

17
Q

What is the likelihood ratio and how is it calculated?

A

How much more likely the test result would be seen in someone with the condition, than someone without.

Sensitivity/(1 - specificity)

18
Q

How are likelihood ratios interpreted?

A

> 1 = test is more often positive
3 = test is useful
10 = test is very useful

19
Q

What can sensitivity/specificity be used to describe, and what can’t they predict?

A

Describe:
- how abnormality/normality predicts particular test results

Can’t predict:
- risk of abnormality

20
Q

Assessment of diagnosis (3 steps)

A
  1. Is the evidence about diagnosis valid?
  2. Is it important?
  3. Can you apply it clinically?
21
Q
  1. Is the evidence valid? (3)
A

Herbert et al 2005
A. Comparison with adequate reference standard
B. Comparison bind?
C. Study sample consisted of subjects with diagnostic uncertainty?

22
Q

Describe 1A (4)

A

Ref standard

  • ref standard will often have face validity, e.g. open surgical
  • reliability of standard should be assessed
  • ref standard may be hindsight
  • imperfect ref standard = under estimate of the accuracy
23
Q

Describe 1B (2)

A

Blinding

  • assessor should be blind to result of the ref test
  • – knowledge would bias the index test
24
Q

Describe 1C (2)

A

Diagnostic uncertainty

  • spectrum of patients enrolled similar as possible to clinical practice? (COHORT study)
  • aim is to solve diagnostic dilemmas (not confirm obvious Dx/negative Dx) (CASE-CONTROL study)
25
Q

Is this evidence about a Dx test valid? (other list) (4)

A

Straus et al 2005

  1. Independent, blind comparison with reference (gold) standard of Dx?
  2. Appropriate spectrum of pts?
  3. Ref standard applied REGARDLESS of Dx test result?
  4. Test/cluster of tests validated in a second, independent group of pts?