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
Q

what does a funnel plot look like with NO publication bias?

A

symmetrical

26
Q

what does a funnel plot look like with publication bias?

A

asymmetrical

27
Q

what does a funnel plot look like with publication bias due to poor quality of smaller studies?

A

asymmetrical

28
Q

what do you use to see if heterogeneity is caused by random chance OR by a different variable?

A

Q-statistic or I^2 statistic

29
Q

what are you looking for with a Q-statistic result?

A

p-value < 0.2
= reject the null hypothesis (heterogeneity IS statistically significant)

30
Q

what are you looking for with a I^2 statistic result?

A

I^2 = (% variability due to heterogeneity rather than chance)

I^2 > 50%
= heterogeneity is substantial