cpp key facts Flashcards

(22 cards)

1
Q

what is the triangle of evidence

A

bottom- editorials, expert opinions
case series case studies
cross sectional
case control
cohort studies
randomised controlled trials-
systematic reviews top

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2
Q

what is the other version of the triangle of evidence

A

expert opinions, editorials- bottom
case series, case studies
observational studies
non randomised controlled trials
randomised control trials
systematic reviews

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3
Q

in the context of sensitivities, specifities, what are the following labels representative of
a b c d

A

a- true positives
b- false positives
c- false negatives
d- true negatives

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4
Q

what is the definition of sensitivity

A

the probability that someone who has the condition will test positive for it

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5
Q

what is the formula for sensitivity

A

a/a+c x 100
true positives/ true positives+ false negative

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6
Q

what is the definition of specificity

A

the probability that the people who do not have the condition will test negative for it

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7
Q

what is the formula for specificity

A

d/b+d x 100

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8
Q

what is the definition of positive predictive value

A

of those who test positive, what proportion actually have the disease

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9
Q

what is the formula of positive predictive value

A

a/a+b x 100

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10
Q

what is the definition of the negative predictive value

A

out of people who tested negative, what proportion actually dont have the disease

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11
Q

what is the formula for negative predictive value

A

d/d+c x100

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12
Q

what is the definition of prevalence

A

proportion of the population who truly have the disease- cross sectional study

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13
Q

what is the formula for prevalence

A

a+c/N
a- true positive-have the disease
c-false negative- have the disease
N- number of people in the population

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14
Q

what affect does increasing prevalence have on the positive predictive value

A

increases ppv

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15
Q

what affect does increasing prevalence have on the negative predictive value

A

decreases npv

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16
Q

how are odds (case control studies) calculated

A

number of people with disease/number of people without disease

17
Q

what is the formula for risk

A

number of people experiencing event in a defined period/ number of people in study population at start of period

18
Q

define person years at risk

A

sum of number of years people with risk of the event have been followed

19
Q

what is the formula for rate

A

number of people experiencing event in defined period/ person years at risk

20
Q

what is definition of rate

A

measure of the rate at which an event (new case or disease) occurs in a population over a period of time (units per person year)

21
Q

what are kaplan meier plots

A

graph of probability of having the disease by time of follow up drawn as a series of steps which only change at time of event