Terminology 08 06 2014 Flashcards

1
Q

Specificity

A

Characteristic of a test:

Of the pole who don’t have the disease, how many of them will have a negative test.

Specificity = TN/ (TN + FP)

SP - IN

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2
Q

Sensitivity

A

Characteristic of a test:

How many people with the disease with have a positive test.

Sensitivity = TP/ (TP + FN)

SN- OUT

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3
Q

Predictive Value

A

probability of a disease given the results of a test.

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4
Q

Positive predictive value

A

probability of a disease in a patient with a (+) test (abnormal)

PV = number of people with the disease/ number of people who have a positive test

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5
Q

Negative predictive value

A

probability of not having the disease when the test value is negative.

= (# of ppl w/o disease that tested neg) divided by (# of people with negative test)

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6
Q

What is a likelihood ratio?

A

it expresses how many more times (or less times) likely a test result is to be found in diseased vs. non-diseased.

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7
Q

Positive likelihood ratio

A

= ratio of the proportion of diseased people with a + result
divided by
proportion of non-diseased with a positive result.

= (Sensitivity)/ (1- specificity)

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8
Q

Negative likelihood ration

A

= proportion of diseased people with a (-) test
divided by
proportion of non-diseased with (-) test

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9
Q

Risk Reduction

A

= ARR/ event rate

Event rate = (a/a+c)

accounts for the effectiveness of proposed treatment and relative likelihood of an incident occur in gin the absence of treatment.

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10
Q

case-control study

A

observational and retrospective

compares a group of people with disease to group without disease.

Looks for prior exposure or risk factor

measures odds ration (OR)

used to help look at rare diseases

Patient with disease is matched to a patient without disease

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11
Q

cohort study

A

observational, prospective, or retrospective

compares a group with a given exposure or risk factor to a group without that exposure.

Looks to see if exposure increases the likelihood of disease.

measures Relative risk: event rate of exposed/ event rate of non-exposed.

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12
Q

cross-sectional study

A

observational

Collects data from a group of people to asses frequency of disease at a particular point in time.

measures Disease prevalence – can show risk factor for association with disease BUT does not establish causality

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13
Q

Twin concordance study

A

compares frequency with which both monozygotic twins or both dizygotic twins develop the same disease.

Measures heritability

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14
Q

Adoption study

A

compares siblings raised by biological vs. adoptive parents.

Measures heritability and influence of environmental factors.

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15
Q

Clinical trials

A

phase 0–
pre-phase I: patients take a small dose of
drug to see if you are hitting targets of drug.
- drug needs to have a wide therapeutic
windows
- target must be known.
- amount of drug given do not have any
therapeutic value.

phase 1
Small number of healthy volunteers, people
with disease. Asses toxicity and
pharmacokinetics.

phase 2
Small number of patients w/disease
- asses efficacy and optimal dosing and
adverse effects.

phase 3
Large number of patients randomly assigned
either to the treatment under investigation or
the best available placebo.
-Compares new treatment.

phase 4
Post market survellience : detects rare or long term adverse effects

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16
Q

incidence

A

of NEW cases in a specific period of time/ population at risk during that same period.

17
Q

prevalence

A

of existing cases/ population at risk.

18
Q

odds ratio

A

used in Case-control studies

odds that a group with the disease was exposed to a risk factor/ odds that group without disease was exposed

(TP)(TN)/ (FP)(FN)

19
Q

relative risk

A

Cohort studies

Risk of developing disease in exposed group/ risk in unexposed group.

a/(a+c) / c/ (c+d)

20
Q

attributed risk

A

the difference in risk between exposed and unexposed groups.

21
Q

number needed to treat

A

number of patients who need to be treated to prevent 1 bad outcome.

22
Q

number needed to harm

A

number of patients who need to be exposed to a risk factor for 1 patient to be harmed.

23
Q

selection bias

A

nonrandom assignment to participation in a study group

24
Q

recall bias

A

knowledge of presence of disorder alters recall by subjects

  • common in retrospective studies
25
Q

sampling bias

A

subjects are not representative of vernal population.

  • results cannot be generalized to the public.
  • a type of selection bias
26
Q

late-look bias

A

information gathered at an inappropriate time.

  • ex. using a survey to study a fatal disease
    • only patients who are still alive can answer
27
Q

procedure bias

A

subjects in different groups are not treated the same.

  • more attention is paid to treatment group
28
Q

confounding bias

A

when a factor is related to both exposure and outcome BUT is not in the causal pathway.

-factor distorts or confuses effect of exposure on outcome.

29
Q

lead-time bias

A

early detection confused with an increase in survival

30
Q

observer-expectancy effect

A

occurs when a researcher’s believe in the efficacy of a treatment changes the outcome of that treatment.

31
Q

Hawthorne effect

A

group being studied changes its behavior owing to the knowledge of being studied

32
Q

Meta-analysis

A

pools data and integrates result from several similar studies to reach an overall conclusion and increase statistical power.

Limited by qua lit of individual studies or bias in study selection.