Week 9 Flashcards

1
Q

mass screening

A

whole population or subset

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2
Q

multiple or multiphasic screening

A

many screening tests at the same time

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3
Q

targeted screening

A

groups with a particular exposure

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4
Q

case-finding/ opportunistic screening

A

tested while at the doctors for another purpose

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5
Q

3 ways to distinguish between normal and abnormal

A
  1. normal as common
  2. abnormal associated with disease
  3. abnormal as treatable
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6
Q
  1. normal as common
A

Values that occur frequently are normal
Values that occur infrequently are abnormal
Normal distribution: 2.5% abnormal using + 2SD cut off
Percentile (95%): 95% normal and 5% abnormal

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7
Q
  1. abnormal associated with disease
A

Use of the distribution of measurements for both healthy/diseased people with an attempt to define the cut-off that separates the two groups
Results in some healthy people on the ‘abnormal’ side and some diseased people on the ‘normal’ side

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8
Q
  1. Abnormal as treatable
A

Definition of abnormal changes over time based on changing treatment thresholds

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9
Q

before screening, disease must be

A

Relatively common (prevalent) disease
Several consequences
Early treatment produces better outcomes
Considered a problem by people
Natural history well-understood
Relatively long preclinical phase when disease could be detected by screening

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10
Q

the screening test should be

A
Good accuracy OR high sensitivity and/or specificity 
Safe 
simple/logistically manageable 
Relatively cheap 
Acceptable to ‘healthy’ people
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11
Q

positive results threshold- screening test

A

tend towards high sensitivity not to miss potential disease

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12
Q

positive results threshold- diagnostic test

A

tend towards high specificity (true negatives)

more weight given to accuracy and precision than to patient acceptability

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13
Q

positive result- screening test

A

indicates suspicion of disease (often used in combination with other risk factors) that warrants confirmation (diagnosis)

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14
Q

positive result- diagnostic test

A

result provides a definite diagnosis

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15
Q

in tests, we are most concerned about

A

false negatives

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16
Q

true positive

A

disease present

test positive

17
Q

false positive

A

disease absent

test positive

18
Q

false negative

A

disease present

test negative

19
Q

true negative

A

disease absent

test negative

20
Q

sensitivity

A

probability of a positive test in people with the disease

21
Q

sensitivity F

A

true positive/total diseased

a/a+c

22
Q

specificity

A

probability of a negative test in people without the disease

23
Q

specificity F

A

true negative/ total non disease

d/b+d

24
Q

positive predictive value (PPV)

A

probability a person has the disease when the test is positive

25
Q

PPV F

A

true positive/total positive

a/a+b

26
Q

negative predictive value NPV

A

probability a person does not have the disease when the rest is negative
we want high (near 100%) NPV to avoid false negative

27
Q

NPV F

A

true negative/total negative

d/c+d

28
Q

sensitivity and specificity

A

relate to the features of the test

Do not change with the prevalence of the disease

29
Q

PPV and NPV

A

do change with the prevalence of the disease

PPV will be low when prevalence is low

30
Q

O’briens labral tear test accuracy

A

Diagnosed via physiotherapists using the Active Compression Obrien test

31
Q

DST test accuracy

A

Used to diagnose depression

32
Q

Screening- length time bias

A

Screening often diagnoses diseases that are less aggressive than those present clinically
Thus treatment needs to be safe and effective- as sometimes disease detected through screening wouldn’t present/be diagnosed clinically

33
Q

Screening- lead time bias

A

Early detection: disease diagnosis by screening before clinical presentation
As a result there is lead time, extra time that you know you have the disease
Thus ‘survival time’ should not be used to evaluate a screening test- as survival in screened individuals will appear longer.
This is irrespective of whether screening affects the survival course or not

34
Q

chi squares

A

two categorical variables

35
Q

expected cell frequency

A

(row total x column total) / grand total

36
Q

df

A

(row - 1) x (column - 1)

37
Q

chi square test not valid if

A

more than 20% of the cells have expected frequency smaller than 5

38
Q

if more than 20% of the cells have expected frequency less than 5

A

use Yates continuity corrected chi squares