Evidence medicine Flashcards

1
Q

funnel pots

A

shows publication bias in meta analysis

symmetrical inverted funnel shows bias is unlikely vice versa

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2
Q

chi squared test

A

used to differentiate two independent groups + binary outcomes

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3
Q

kruskal wallis test

A

compares the means of two or more independent groups

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4
Q

per protocol analysis

A

determine if a treatment has a biological effect

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5
Q

prospective cohort study

A

constitutes the highest level of evidence

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6
Q

cross sectional study

A

only looks at one point in time, study relationship between exposure and outcome

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7
Q

Absolute risk reduction

A

CER - EER

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8
Q

number needed to treat (NNT)

A

1/ARR

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9
Q
A
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10
Q

sensivity - identify how effective a test is picking up the disease where it is present

A

True positive/ (TP+FP)

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11
Q

specifity - portion of patients without the condition who had a negative test

A

true negative/(TN+FP)

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12
Q

positive predictive value - change the patient has the condition if the diagnostic test is positive

A

true positive/ (TP+FP)

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13
Q

negative predictive value - change that the patient does not have the condition if the diagnostic test is negative

A

true negative/TN+FN

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14
Q

Lead time test

A

occurs when two tests for a disease are compared, the new test diagnoses the disease earlier, but there is no effect on the outcome of the disease

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15
Q

normal distribution

A

symmetrical i.e. Mean = mode = median
68.3% of values lie within 1 SD of the mean
95.4% of values lie within 2 SD of the mean
99.7% of values lie within 3 SD of the mean

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16
Q

histogram

A

graphucal display of continuous data where values have been catergorized into number of categories

17
Q

forest plot

A

meta analysis
represent strength of evidence of the constituent trials

18
Q

scatter plot

A

coordinates to display two variable set of data

19
Q

kaplan meier survivial plot

A

survival function showing decreasing survival with time

20
Q

wilcoxon signed-rank test

A

compares two sets of observations on a single sample e.g. before and after

21
Q

mann whitney U test

A

not normally distributed, non parametric test for independent sample of ordinal interval or ratio scales of data