Week 10 Flashcards

1
Q

Diagnosis:

A

determining the nature of a disorder by considering the patients signs and symptoms, medical background, etc.

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2
Q

Differential diagnosis:

A

Diagnosis of a condition whole signs and/or symptoms are shared by various other conditions. For example, abdominal pain may be due to multiple different disorders, which need to be ruled out before finding correct diagnosis.

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3
Q

There is not always a one-to-one link between a sign or symptom and underlying disorder…..

A
  • One symptoms could indicate multiple disorders

- One disorder could have multiple symptoms

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4
Q

Reference test of known high accuracy—>

A

Gold standard, make sure its valid

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5
Q

Diagnostic accuracy study design involving two tests:

A

Reference and index test

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6
Q

Index test - evaluated by the diagnostic accuracy study —>

A

if index test results agree with the reference test results = diagnostic accuracy of index test

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7
Q

In the reference test results: Case = _____ and control = _____

A
Case = person with health condition
Control = person without health condition
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8
Q

In the index test results: positive = _____ and negative = _____

A
Positive = the person classified as a case
Negative = the person classified as a control
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9
Q

Case, control, positive, negative… Which ones line up?

A

Case and positive, control and negative

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10
Q

Diagnostic study design: Level ____ - Diagnostic accuracy study with blinded, independent testing with random or consecutive patients; “consecutive cohort”

A

2

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11
Q

Diagnostic study design: Level _____ - Diagnostic accuracy with non-consecutive patients

A

III-1

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12
Q

Level ___ - Diagnostic case-control study - cases identified from reference test then compared on index test

A

III-2

- Overestimates accuracy (biased) because case status is already known

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13
Q

Level IV diagnostic yield study, has no ……?

A

Reference list

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14
Q

Diagnostic accuracy studies tend to be cross-sectional

- about “___ and ___”, not longitudinal or tracking

A

here and now

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15
Q

Diagnostic tests SHOULD distinguish people who have the condition from others who don’t have it —- that’s ____ discrimination

A

valid

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16
Q

If an index test is valid then:

A
  • All of its positive results will be cases - people who really do have the health condition
  • All of its negative results will be controls - people who really don’t have the health condition
17
Q

Biases in diagnostic studies–> incorporation bias…?

A

When reference tests include the index tests, an obvious design flaw because any measures of diagnostic accuracy will include the agreement of the index test with itself, a measure of reliability rather than validity

18
Q

Biases in diagnostic studies–> verification bias…?

A

Can happen because of sampling problems. Where sensitivity is over estimated, means that more people are testing positive than should test positive. Or underestimated, where fewer controls are testing negative than should test negative. All together—> too many positive results from the index test because of the bias

19
Q

Continuous , ordered data measured on a scale examples? (must be categorised into cases and non-cases)

A

height, weight, pain, degrees of flexion, grip strength, etc

20
Q

Categorical, unordered [nominally scaled] data …

A
  • Patients categorised naturally into…
  • Cases and controls on reference list
  • Positive and negatives on index test
21
Q

Linking reference and index test categories

A
  • Statistical measures of association

- Tests of diagnostic accuracy

22
Q

Sensitivity (Sn):

A
  • Index test ability to detect people with the condition

- Percentage of cases with a positive result

23
Q

Specificity (Sp):

A
  • Index test to ability to identify people without condition

- Percentage of controls with negative result

24
Q

Sensitivity and specificity usually ___ for the same test

A

differ

25
Q

Positive predictive value (PPV) (not same as sensitivity)

A

Percentage of positive tests who are cases

26
Q

Negative predictive value (NPV) (not same as specificity)

A

Percent of negative tests who are controls

27
Q

Sensitivity Sn - how good is index at detecting ____

A

cases

  • HIGH sensitivity finds true positives; few false negatives
  • LOW sensitivity misses true positives; many false negatives
28
Q

Specificity Sp - how good is index at detecting _____

A

controls

  • HIGH specificity finds true negatives; few false positives
  • LOW specificity misses true negatives; many false positives
29
Q

Positive predictive value PPV - whether positives are ____

A

cases

  • If HIGH, most people who test positive will be cases
  • If LOW, most people who test positive will be controls
30
Q

Negative predictive value NPV - whether negatives are ____

A

controls

  • If HIGH, most people who test negative will be controls
  • If LOW< most people who test negative will be cases
31
Q

Sensitivity - Do cases test positive??

A
  • Cases should test positive

- Higher percentage, more of the cases test positive

32
Q

Specificity Sp - Do controls test negative??

A
  • Controls should test negative

- Higher percentages, more of the controls test negative

33
Q

Positive predictive value PPV - Are positives cases?

A

Higher percentage, more of the positives are cases

34
Q

Negative predictive value NPV - Are negatives controls?

A
  • Negatives should be controls

- Higher percentage, more of the negatives are controls

35
Q

Anterior cruciate ligament tears:
______: Gold standard –> arthroscopy or MRI
- expensive, but valid

_____:

  • anterior drawer test
  • lachmans test
  • pivot shift test
  • inexpensive, less valid
A

reference, index

36
Q

Reference and index are _____ concepts, not used in everyday practice

A

research

37
Q

Ideal way to improve diagnostic accuracy

A
  • Use more valid test
  • Higher correlation between index and reference test
  • Reduces false positives and false negatives at same cut-off