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
Q

Explanatory Analysis

A

Analyze according to tx actually received, regardless of randomization

26
Q

Efficacy setting

A

Analyzing tx in ideal setting

27
Q

Effectiveness setting

A

Analyze tx in ordinary circumstances; usual pt care

28
Q

Relative Risk Reduction

A

Describes the magnitude of the effect; represents the % reduction in risk of studied outcome achieved by the use of the intervention

29
Q

Absolute Risk Reduction

A

Describes the risk difference in outcome btwn pt’s who have undergone 1 therapy and those who have not

30
Q

Number Needed to Treat

A

NNT = 1/AR

*if you’re looking @ the treatment

31
Q

Number Needed to Harm

A

NNH = 1/AR

*if you’re looking @ exposure

32
Q

Randomized Clinical Trial

A

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
Q

Measures used to describe Prognosis

A
  • 5 yr survival
  • median survival
  • response to tx (improvement)
  • time to recurrence
  • case fatality
  • dz-specific mortality
34
Q

Prognosis

A

Set of probabilities that predict a worse outcome once a dz is present

35
Q

Survival Curve

A

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
Q

Censored

A

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
Q

Equipoise

A

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
Q

Observational studies show association and:

A
  • 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
Q

Odds Ratio

A

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