Final Epidemiology Flashcards

1
Q

Sensitivity

A

Proportion of persons w/ dz w/ + test

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2
Q

Specificity

A

Proportion of persons w/o dz w/ - test

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3
Q

Positive Predictive Value (PPV)

A

Proportion of pt w/ + test who have the dz

*PPV is closely related to the prevalence

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4
Q

Negative Predictive Value (NPV)

A

Proportion of pt’s w/ - test who do NOT have the dz

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5
Q

Sn-N-OUT Rule

A

Sensitivity is high, you can RULE OUT the dz if test comes back -

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6
Q

Sp-P-IN Rule

A

Specificity high then you can rule in the dz if test comes back +

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7
Q

LR+

A

Probability of + test for person w/ dz divided by probability of + test for person w/o the dz
= Sensitivity / (1 - Specificity)

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8
Q

LR-

A

Probability of - test for person w/ dz divided by probability of - test for person w/o dz
= (1 - Sensitivity) / Specificity

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9
Q

LRs to “rule in” dz

A

> 10: strong
5-10: moderate
2-5: weak

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10
Q

LRs to “rule out” dz

A

0.2 - 0.5: weak
0.1 - 0.2: moderate
< 0.1: strong

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11
Q

Parallel Testing

A

Order several tests @ once, useful for rapid assessment situations

  • maximizes sensitivity and NPV
  • e.g. - CP in the ED order CK and Troponin, etc.
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12
Q

Serial Testing

A

Order next test on basis of prior result, useful when assessment can be done over time or tests are expensive

  • maximizes specificity and PPV
  • e.g. - serial troponins for a CP pt in ED under obs
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13
Q

Benefits of Screening

A

Earlier detection leads to better outcome, test has good sensitivity/specificity, burden of dz in community warrants test, resources available to follow-up + tests

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14
Q

Primary Prevention

A

Identify risk factor for dz and reduce exposure, promote resistance
*e.g. - immunization

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15
Q

Secondary Prevention

A

Identify early dz before signs/sx’s start

*e.g. - screen for DM

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16
Q

Tertiary Prevention

A

Dz has been identified but prevent advanced development, side effects, and outcomes etc.
*e.g. - pt w/ DM educate to prevent loss of sight/limb

17
Q

Cumulative Incidence (Risk)

A

Probability of an individual developing dz during a specific timeframe, using # of persons @ risk for the denominator

18
Q

Incidence Density (person-time)

A

Probability of an individual developing a dz during specific period of time using total person time as the denominator

19
Q

Case Reports

A

Describe the experience of a single pt (n = 1) w/ an interesting finding
*no comparison

20
Q

Case Series

A

Describe the experience of a group of pt’s (n > 1) w/ similar dx’s
*no comparison group

21
Q

Cross-Sectional Studies

A

Aka Prevalence Study, exposure and dz status assesed @ single point in time, individual is unit of observation and analysis, no cause-effect and no incidence known

  • dz or no dz -or- exposed or unexposed
  • common analysis is Chi square
22
Q

Case-Control Study

A

Key comparison: Dz vs. No Dz
- no prevalence or incidence assessed; measure risk of exposure to risk factors in dz group vs the no dz group retrospectively

23
Q

Cohort Study

A

Key comparison: Risk factor vs. No Risk Factor, groups followed over time to see who ends up developing the dz, assesses incidence and causality but not prevalence

24
Q

Intention-to-treat Analysis

A

Analyze according to group initially assigned regardless of whether they received tx

25
Explanatory Analysis
Analyze according to tx actually received, regardless of randomization
26
Efficacy setting
Analyzing tx in ideal setting
27
Effectiveness setting
Analyze tx in ordinary circumstances; usual pt care
28
Relative Risk Reduction
Describes the magnitude of the effect; represents the % reduction in risk of studied outcome achieved by the use of the intervention
29
Absolute Risk Reduction
Describes the risk difference in outcome btwn pt's who have undergone 1 therapy and those who have not
30
Number Needed to Treat
NNT = 1/AR | *if you're looking @ the treatment
31
Number Needed to Harm
NNH = 1/AR | *if you're looking @ exposure
32
Randomized Clinical Trial
Randomly allocated into "intervention" or "control" group to receive tx or not - control can be placebo group or standard of care group to compare the tx group to
33
Measures used to describe Prognosis
- 5 yr survival - median survival - response to tx (improvement) - time to recurrence - case fatality - dz-specific mortality
34
Prognosis
Set of probabilities that predict a worse outcome once a dz is present
35
Survival Curve
AUC is # of person-years lived by population studies (probability of events is dependent on the length of follow-up) e.g. - time to recurrence, time to remission, time to illness
36
Censored
When pt is lost from a study @ any point in time and are no longer counted in the denominator from that point forward; they are removed from denominator before the probability of survival is calculated for a given period
37
Equipoise
Randomization is ethical when there is no compelling reason to believe that either of the randomly allocated tx's is better than the other
38
Observational studies show association and:
- exposure precedes dev of dz - strength of assoc - dose-response relationship is apparent - consistency of findings from study to study - biological plausibility - findings are c/w other studies and/or types of data
39
Odds Ratio
OR = 1: no association btwn risk and outcome OR > 1: increased risk of exposure in cases compared to control OR < 1: decreased risk of exposure in cases compared to control