Lecture 1 Flashcards

1
Q

Pharmacology

A

the study of the effects of drugs

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2
Q

Clinical Pharmacology

A

The study of the effects of drugs in humans

central principle: therapy should be individualized to the needs of the specific patient

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3
Q

Epidemiology

A

the study of the distribution and determinants of diseases in populations

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4
Q

Pharmacoepidemiology

A

The study of the uses and effects of drugs in large numbers

applies the methods of epidemiology to the content area of clinical pharmacology

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5
Q

Drug approval: Phase 1

A

Years: 1-1.5
Test population: 20-80 healthy volunteers
Purpose: determine safety and dosage

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6
Q

Drug approval: Phase 2

A

Years: 2
Test population: 100-300 patients
Purpose: evaluate efficacy, look for side effects

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7
Q

Drug approval: Phase 3

A

Years: 3-3.5
Test population: 1000-3000 patients
Purpose: confirm efficacy, monitor ADE for long term use

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8
Q

Drug approval: NDA Review

A

Years: 0.6-2.5
Purpose: new drug application is reviewed

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9
Q

Drug approval: Phase 4

A

Years: 11-14
Test population: “real world evidence” - testing carried out outside of clinical environment
Purpose: additional post-market testing

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10
Q

Study designs listed most to least causal

A

RCT
Cohort
case- control
analyses of secular trends
case series
case reports

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11
Q

Case reports

A

A report of an event in a single patient
- useful for generating hypotheses
- simple & inexpensive

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12
Q

Case Series

A

collections of patients all of whom have either a single exposure or single outcome
- no control group = no hypothesis testing
- useful to : quantify an ADE, ensure particular ADEs are not happening in population larger than studied prior to drug marketing

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13
Q

Analyses of Secular Trends

A

AKA: ecological studies
Examine trends in an exposure that is a presumed cause and trends in a disease that is a presumed effect and test whether the trends coincide
- trends examined either over time or across boundaries
- lack individual data
- no control for confounding variables

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14
Q

Case-control studies

A

compare cases (with outcome) to controls (without outcome) to look for differences in antecedent exposures

  • Useful to study: multiple exposures & uncommon diseases
  • quick & inexpensive
  • potential for bias in control selection
  • potential for bias in exposure determination
  • measure of association: odds ratio
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15
Q

Cohort Studies

A

A study that identifies a cohort of subjects and follows them over time to determine outcome
- ascertains exposures at the beginning; cases are exposed, controls are unexposed
- good for: rare exposures, multiple outcomes from one exposure
- selection bias not as likely; loss to follow up is a greater concern
- expensive, time consuming
- potential for outcome ascertainment bias
- measure of association: relative risk and attributable risk

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16
Q

Randomized control trials

A

a study where the participants are randomly assigned between exposure and control groups
- only design that controls for unknown confounders
- EXPENSIVE, most difficult logistically, ethical constraints
- artificial

17
Q

Pragmatic Clinical trials

A

a study in which the investigator tests the effectiveness of an intervention under real world conditions
- hope to overcome challenges of RCTs
- RTCs are slow
not generalizable
- evidence paradox

18
Q

Study results

A
  • No association
  • Artificial association (chance or bias)
  • indirect association (confounded)
  • causal association (direct or true)
19
Q

Types of error

A

1.) Random- tested for and fixed statistically
2.) Bias - avoided with good study design
3.) Confounding- adjusted for when recognized

20
Q

Information Bias

A

1.) Interviewer bias- probing some subjects more thoroughly than others
2.) Recall bias- a type of bias that occurs when participants in a research study or clinical trial do not accurately remember a past event or experience or leave out details when reporting about them

21
Q

Selection bias

A
  • when controls don’t represent the population that produced the cases
  • differential loss to follow-up
22
Q

Confounder

A

A variable related to both the exposure and the outcome

23
Q

Confounding

A

Occurs when a confounder is distributed unequally between groups