D3 - Case Series & Cross-sectional Studies, Cohort Studies Flashcards

1
Q

limitations of case reports and case series

A

lack of a denominator for calculating disease incidence

lack of a comparison group

select study populations (may not reflect general pop)

sampling variation

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2
Q

case report

A

describe the experiences of a single person

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3
Q

case series

A

describe the experiences of a group of people

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4
Q

5 factors used to assess causal inference in clinical research studies

A

1) randomized evidence
2) strong associations
3) temporal relationship between exposure and outcome
4) exposure or dose varying response
5) biological plausibility

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5
Q

what do case reports and case series rely on, to make the case for causation?

A

almost exclusively rely on biological plausibility

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6
Q

cross-sectional study

A

type of observational study design in which the exposure and the outcome are assessed simultaneously

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7
Q

cohort study

A

type of observational study that determines the incidence of a disease/outcome among diff exposure groups

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8
Q

what does the term “exposure” mean?

A

any characteristic that may explain or predict a disease or outcome

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9
Q

key things to consider to have good internal validity

A

accuracy, repeatability (precision), consistency, timing

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10
Q

“accuracy” means..

A

how well a measurement reflects the true value of a characteristic

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11
Q

repeatability/precision

A

how well a measurement returns the same result when performed successively

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12
Q

retrospective study

A

study that is performed after all of the data have been collected

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13
Q

prospective study

A

collect original data for the specific purpose of addressing a particular study question

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14
Q

advantages of cohort studies

A

can often discern temporal relationship b/n exposure and outcome

can study multiple outcomes

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15
Q

disadvantages of cohort studies

A

can’t prove causation b/c there may be confounding variables

inefficient design for rare diseases and diseases w/ a long latency period

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16
Q

Why are cohort studies important in the pharmaceutical world?

A

can assess clinically important outcomes and unintended side effects of medications in REAL world settings

can evaluate risks/benefits of medications in real settings

17
Q

equation for relative risk

A

relative risk = incidence (exposed cohort)/incidence (unexposed cohort)

18
Q

equation for attributable risk

A

incidence (exposed cohort) - incidence (unexposed cohort)

19
Q

equation for population attributable risk

A

population attributable risk = incidence (total) - incidence (unexposed cohort)