Exam Two - Observational (prognostic) studies Flashcards

1
Q

prognosis relates to ….

A
  • evaluation of the timecourse for a disease
  • potential influence of exposure to various factors
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2
Q

prognosis in PT is used to…

A
  • identify the risk of developing a future problem
  • predict the ultimate outcomes of impairments or functional limitations
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3
Q

prognosis is often evaluated using observational study designs such as…

A
  • prospective cohort
  • retrospective cohort
  • case control
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4
Q

T or F: statistics used in prognostic studies are also common in experimental studies with categorical outcomes

A

T

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5
Q

Relative risk definition

A
  • the likelihood that someone who has been exposed to a factor will develop the outcome of interest
  • cumulative over an entire study, using a defined endpoint (only use beginning and end, nothing in the middle!)
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6
Q

how to calculate RR?

A

top box has yes/no condition left side has if they were exposed or not. (label a,b,c,d)
rr = (a/(a+b))/(c/(c+d))

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7
Q

how to interpret RR?

A

<1 = decreased likelihood
>1 = increased likelihood
=1 = no prognostic value

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8
Q

how much does exposure matter?

A

rr (increase or reduction) = |(1-rr)| x 100

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9
Q

when is rr statistically significant?

A

when confidence intervals do not contain one

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10
Q

hazard ratios

A
  • represent instantaneous risk during the study time period
  • better for indicating risks that happen at any time during the study interval
  • know that this is different than RR!
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11
Q

hazard ratios and survival cues, what is it?

A

“survival cues” represent the percentage of each group surviving versus time

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12
Q

_________ is concerned with the total events over time while _________ is concerned with likelihood of events at any time.

A

relative risk
hazard ratio

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13
Q

Odds ratio

A

odds of experiencing an exposure among people with and without the outcome
- retrospective estimate of relative risk
- commonly used in retrospective cohort studies or case control studies

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14
Q

how to calculate odds ratio

A

cross multiply the box
- only useful when one factor is assessed, if multiple factors then you should use logistic regression

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15
Q

odds ratio answers the question of:

A

is it more likely to find an exposure among people with the outcome

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16
Q

T or F: odds ratio uses the same interpretation as relative risk

A

true
<1 = decreased likelihood
>1 = increased likelihood
=1 = no prognostic value

17
Q

What factors should you consider when looking at prognosis study quality?

A

enrollment
follow up
measurement of outcome and blinding
outcome reporting

18
Q

what are some questions you should be concerned about when analyzing prognosis study quality

A
  • was the cohort assembled at a common point in their course of disease?
  • was patient follow up sufficiently long?
  • was patient follow up complete?
  • how objective is the outcome?
  • results reporting?
19
Q

why should you be concerned if the cohort was assembled at a common point in the course of their disease?

A
  • best if enrolled at a uniform early time in the disease - called inception cohort
  • limited survivor bias (good outcomes over-represented because more advanced disease associated with poorer prognosis)
20
Q

why should you be concerned if the patient follow up was sufficiently long?

A
  • length of time needs to be long enough to detect the outcome of interest and this varies depending on the outcome
21
Q

why should you care if patient follow up is complete?

A
  • because you don’t want high drop out rates
  • if people do drop out, you need to explain why
22
Q

why should you care about how objective the outcome is?

A
  • how is variable operationally defined
  • are results open to interpretation
  • were results determined by rates who are masked to prognostic factors?
23
Q

why should we care about how results are reported?

A
  • survival curves and hazard ratios are preferred/better/more contemporary
  • RR or odds ratios only give beginning and ending values