Epidemiology clinical Qs Flashcards

1
Q

define efficacy

A

the ability to produce results under ideal clinical trial conditions

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2
Q

define effectiveness

A

the ability to produce results in real clinical use

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3
Q

what model of effectiveness is this?

A

intervention has CONSTANT effect throughout course of disease

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4
Q

what model of effectiveness is this?

A

intervention has constant effect, but LAGGED start and benefits are not immediately apparent

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5
Q

what model of effectiveness is this?

A

intervention has COMPOUNDED RETURNS with effect at time of enactment and improvement that magnifies throughout course of disease

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6
Q

how do you measure causality

A

cannot be measured directly- must be inferred (called “causal inference”)

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7
Q

what is the “causal effect” of the intervention?

A

effectiveness

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8
Q

define cause

A

if the event would NOT have occurred without it

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9
Q

what is the “counterfactual paradigm”

A

what you predict would’ve happened if the treatment hadn’t been done

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10
Q

can we observe associations or causations?

A

we can ONLY observe associations

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11
Q

does association = causation

A

NO

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12
Q

define cost-effectiveness

A

value of treatment given money spent

NOT whether more money is saved than spent (bc that doesn’t happen with health treatments)

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13
Q

define systematic review

A

clear research question + protocols for selecting articles

can be replicated

time consuming

less subjective than literature/narrative reviews

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14
Q

define meta-analysis

A

forms a “pooled effect estimate” by combining the effect estimates from multiple studies

increases precision + statistical power of estimates

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15
Q

systematic review vs meta-analysis (quantitative or qualitative)

A

systematic review = qualitative

meta-analysis = quantitative

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16
Q

define literature/narrative review

A

conducted by an expert

combines subjective + non-subjective methods when selecting articles

subjective overall

can NOT be replicated

17
Q

systematic review steps

A

1- write systematic review protocol
2- search literature
3- review texts
4- abstract data from texts
5- assess risk of bias
6- summarize evidence

18
Q

meta-analysis steps

A

1- write systematic review protocol
2- search literature
3- review texts
4- abstract data from texts
5- assess risk of bias

6- assess heterogeneity
7- obtain pooled measure of association
8- assess publication bias

19
Q

meta-analysis 4 key points

A

-pooled effect estimate
-assess for heterogeneity
-analyze data in forest plot
-funnel plots to assess publication bias

20
Q

what is the clear diamond on a forest plot for heterogeneity?

A

overall pooled result of the meta-analysis

21
Q

what does it mean if the clear diamond is on the left side of the vertical line of a forest plot?

A

decreased heterogeneity, YES overall statistically significant effect

22
Q

what is the vertical dashed line on a forest plot for heterogeneity?

A

the pooled estimate

23
Q

what is the vertical solid line on a forest plot for heterogeneity?

24
Q

what is the vertical dashed line on a funnel plot?

A

pooled odds ratio

25
what does a funnel plot look like with NO publication bias?
symmetrical
26
what does a funnel plot look like with publication bias?
asymmetrical
27
what does a funnel plot look like with publication bias due to poor quality of smaller studies?
asymmetrical
28
what do you use to see if heterogeneity is caused by random chance OR by a different variable?
Q-statistic or I^2 statistic
29
what are you looking for with a Q-statistic result?
p-value < 0.2 = reject the null hypothesis (heterogeneity IS statistically significant)
30
what are you looking for with a I^2 statistic result?
I^2 = (% variability due to heterogeneity rather than chance) I^2 > 50% = heterogeneity is substantial