Epidemiology Flashcards

1
Q

What is epidemiology?

A

Epidemiology is the science that studies the patterns and causes of health characteristics and their impact/ burden on defined populations.

Population perspective.

Basic science of public health that answers the questions:

  • What causes the disease?
  • How does the disease spread?
  • What prevents the disease?
  • What works in controlling the disease?
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2
Q

What do we use epidemiology for?

A
  • Scientific basis to prevent disease and injury, promote health.
  • Determine relative importance to establish priorities for research and action.
  • Identify sections of the population at greatest risk to target interventions.
  • Evaluate effectiveness of program to improve health of population.
  • Study the natural history of the disease.
  • Surveillance of disease and injuries.
  • Investigate disease outbreaks.
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3
Q

What is the natural history of disease?

A

Natural history of disease looks at the entire process of development of the disease; it tells us what we can expect to happen. It is fundamental for studying and controlling the disease.

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4
Q

What are key characteristics of population?
What are key events and processes of the population?

A

Key characteristics: size/density, age, sex, place, ethnicity, education, economic resources

Key events and processes: birth, marriage, migration, aging and death

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5
Q

What is the difference between medical statistics and epidemiology statistics?

A

Medical statistics = individual perspective
focus on health, risk factors, exposures, causal mechanisms in individuals. approach to health problems: diagnosis (history, physical exam, lab tests), treatment

Epidemiology statistics = population perspective
focus on: mass disease, exposures, causal mechanisms in ppl as a group.
approach to health problems: community diagnosis (surveillance, descriptive data, surveys, analytical studies), interventions via the health care system, policies.

The two perspectives complement each other: every health condition results from a combination of individual level factors and population level factors. Different emphasis, both important.

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6
Q

What was the first epidemiological study?

A

The first epidemiological study was by John Snow in 1854: observing the different cholera outbreak frequency in different areas of the city of London

Stage 1: Descriptive Study
- Consider the factors that could differ between geographic areas
- Designed an epidemiological study to test the hypothesis that contaminated water was the causal factor

Stage 2: Analytical Study
- Proved that cholera was spread by contaminated water, conducted natural experiments

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7
Q

What is an infectious disease? What is infectious disease epidemiology?

A

Illness due to a specific agent or its toxic products that develops through transmission.

(from an infected person, animal or reservoir to a susceptible host, either directly or indirectly through an intermediate plant or animal host, vector or inanimate environment).

Infectious disease epidemiology deals with two or more populations, the risk factor is that the infection can be transmitted and the cause is known. (See chart)

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8
Q

What is infectious disease epidemiology used for?

A

Infectious epidemiology is used for:

  • Identification of CAUSES new and emerging (ex SARS)
  • SURVEILLANCE of infectious disease (ex Ebola)
  • Identification of the SOURCE of outbreaks
  • Studies of ROUTES OF TRANSMISSION and NATURAL HISTORY of infections
  • Identification of new INTERVENTIONS
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9
Q

What are the features of disease epidemiology?

A

Features of disease epidemiology include:
- a case may also be a risk factor
- people may be immune
- a case may be a source w/o being recognized as a case (asymptomatic)
- there is sometimes a need for urgency
- preventive measures usually have good scientific basis
-all diseases are caused by micro organisms
- disease can be transmitted from one infected person to another, directly or indirectly
- disease can be transmitted from one person to another by unnatural routes (example in water)

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10
Q

What is the epidemiological triad?

A

The epidemiological triad shows the dynamics of disease transmission.

Human disease results from the interaction between the AGENT, the HOST and the ENVIRONMENT. A VECTOR may be involved in transmission.

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11
Q

What is the SIR model?

A

The SIR model aims to predict the number of individuals who are susceptible, infected or recovered at any given time.

Susceptible - Infected - Removed

Each individual considered to be in one compartment at a given time, but can move from one to another:

Susceptibles have no immunity from disease

Infected have disease and can spread

Removed have recovered and are immune to further infection

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12
Q

What are some modes of transmission of infectious disease?

A
  1. Person to person: respiratory, urogenital, skin. Examples: HIV, measles
  2. Vector: animals, insects. Examples: rabies, yellow fever
  3. Common Vehicle: food, water. Examples: salmonellosis.
  4. Mechanical Vectors (personal effects, i.e. doorknobs, toothbrushes.
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13
Q

What are the possible outcomes of exposure to an infectious agent? (Infectious disease)

A

Possible outcomes of exposure to an infectious agent include:
- Nothing
- Carrier (individual who has the organism, but is not infected, can pass along)
- Recovered

Host Susceptibility depends on:
- genetic background
-nutritional status
- vaccination
- prior exposure

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14
Q

What is crucial to understand in epidemiology?

A

It is crucial to recognize the architecture of a disease: clinical and sub clinical disease.

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15
Q

What is the incubation period?

A

The incubation period is the interval between the time of contact and/or entry of the agent and the onset of the illness. Dynamic of disease.

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16
Q

What is a latent period (for infectious disease)?

A

Latent period is the time interval from infection to development of infectious disease.

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17
Q

What is endemic?

A

Endemic is the habitual presence of a disease in a given area.

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18
Q

What is epidemic? Pandemic?

A

Epidemic is the occurrence of an illness within a community or region, in excess of normal expectancy.

Pandemic is worldwide.

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19
Q

What is herd immunity?

A

Herd immunity is resistance of a group to an attack by a disease to which a large proportion of members of the group are immune.

The underlying principle is that the presence of enough immune people in a community interrupts the transmission of an infectious agent.

Conditions for herd immunity to exist include:
- the disease agent must be restricted to a single host species within which transmission occurs
- The transmission must be relatively direct from one to another
- 94% of the population must be immune before the chain of the transmission is interrupted

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20
Q

What is virulence?

A

Virulence is the severity of the disease produced by the organism.

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21
Q

What are the three critical variables to investigate a disease outbreak?

A
  1. When did the exposure take place?
  2. When did the disease begin? (onset)
  3. What was the incubation period for the disease?

If we know any two of these, we can calculate the third.

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22
Q

What is the attack rate?

A

Attack rate is those who are ill over those who were exposed.

It is useful for comparing the risk of disease in groups with different exposures.

Could also be specific to a given exposure, for example can calculate the attack rate for those exposed to radiation.

For example, number of ppl who ate a certain food and became ill over the number of people who ate that food.

x 100 to express as a percentage.

Secondary attack rate is the attack rate in susceptible people who were exposed to a primary case. (could think of family members)

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23
Q

What is R0? How do you calculate it? What is the magnitude influenced by?

A

R0 is the basic reproductive number: the average number of secondary cases caused by an infectious individual in a totally susceptible population.

R0 = D x C x B (probability)

Interventions can address each part.

If R0 is less than 1, the disease dies out. Implications are that infection control is unnecessary.

If R0 = 1; the disease is endemic.

If R0 is more than 1; it could become an epidemic. Implications: control measures are necessary to prevent/delay an epidemic.

If average number is high, it is easy to transmit.

If average number is low, it is difficult to transmit.

R0 usually goes down when we start testing asymptomatic individuals.

The magnitude of R0 is influenced by birth rate, population density and behavioral factors.

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24
Q

What were some challenges in COVID-19, thinking about infections and R0 formula?

A

What counts as a case?
(Those who test positive, suspected cases, asymptomatic?)

Time intervals are important; there were delays in test requests, reporting symptoms, receiving results, getting results to health authorities.

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25
Q

What is the force of infection?

A

The force of infection / rate of infection is the risk of being infected.

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26
Q

What are the aims of immunization / vaccine programs?

A

The aim of vaccines is to either:
1. Protect those at highest risk (selective strategy)

Selective vaccination, ex: HPV. New frontier, new possibilities with cancer.

  1. To eradicate, eliminate or control disease (mass immunization strategy)

Mass strategy very hard. Ex: Europe has no shared health goals/ indicators. Health is sensitive, culturally based.

Vaccines are the only treatment given to healthy people.

Eradication: Infection has been removed worldwide (ex: smallpox)

Elimination: Disease has disappeared from one area, but remains elsewhere (ex: polio, measles).

Control: Disease no longer constitutes a significant public health problem. (ex: neo-natal tetanus).

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27
Q

What is the ideal vaccine?

A

The ideal vaccine is:
- immunogenic
- long lasting immunity
- safe
- stable in field conditions
- combined
- single dose
- affordable and accessible to all

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28
Q

How do you evaluate a vaccine?

VE = Vaccine Evaluation

A

Pre-licensing:
Randomised, Blinded, Controlled Clinical Trials

Testing vaccine efficacy: Protective effects under Idealised Conditions

Post-licensing:
Observational Studies

Testing vaccine effectiveness: Protective effects under Ordinary conditions of a public health program

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29
Q

What is vaccine efficacy vs vaccine effectiveness?

A

Vaccine efficacy is the protective effect under idealised conditions (in trial phase).

Vaccine effectiveness is the protection effects in the general population.

99% efficacy in “ideal” population will have 50-70% effectiveness in general population.

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30
Q

What is the basic calculation for VE?

A

VE is Vaccine Evaluation. It tells you the % reduction in attack rate of disease in a vaccinated (ARV) compared to unvaccinated (ARU) individuals

Effectiveness is always lower than efficacy.

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31
Q

What is surveillance?

What is the objective of public health surveillance?

A

Surveillance is the ongoing, systematic collection, analysis and interpretation of data. It may be carried out to monitor changes in disease frequency or in the levels of risk factors.

The objective of public health surveillance is to provide the scientific and factual database essential for informed decision making and appropriate public health action.

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32
Q

What are types of surveillance?

A

Active surveillance: system employing staff members to regularly contact health care providers of the population to seek info about health conditions.

Passive surveillance: a system by which a health jurisdiction receives reports submitted from hospitals, clinics, public health units or other sources. Issues could arise with timing, depends on the source.

Routine health information system: a passive system in which regular reports about diseases and programs.

Health information and management system: a passive system by which routine reports about financial, logistic, and other processes involved in admin of PH and clinical systems are collected.

Categorical surveillance: system that focuses on one or more diseases or behaviors of interest to an intervention program. (active or passive)

Integrated surveillance: combination of active and passive systems, using a single infrastructure that gathers info about multiple diseases or behaviors of interest to several intervention programs.

Collection and response of those who collect (Government, Public Health Institutions, WHO) is that it is disconnected and hard to compare data.

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33
Q

What are the main measures of disease frequency?

A

The main measures of disease frequency include:
- Incidence Rate
- Attack Rate
- Prevalence Rate
- Mortality Rate (indicator of health)

Prevalence = probability of having a disease (to assess burden)

Prevalence increases with new cases/incidents.
It decreases with cure or death.

Incidence is the probability of developing the disease (to assess risk)

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34
Q

What is proportion? Rate? Ratio?

A

Proportion = Prevalence: % or fraction of a population with an illness or other characteristic

Rate = Incidence: How fast the disease is occurring in population with a time specification.

Ratio: Dividing one quantity by the other.

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35
Q

What is mortality rate vs incidence rates?

A

Mortality data is generally more available. Fatality reflects many factors, so mortality rates may not be a good surrogate of incidence rates.

Death certificate cause of death are not always accurate or useful.

Mortality does not equal incidence. (COVID example)

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36
Q

What is Exposure? What is Disease?

A

Exposure (E)

Risk factor, potential health determinant; the independent variable (example: smoking)

Disease (D)

Outcome after exposure to the risk factor, development of disease (death or disability included), the dependent variable (example: lung cancer)

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37
Q

What is incidence rate?

A

Incidence rate measures the number of new cases of a disease that occur in a specified time period in a population at risk.

It is dynamic.

Some factors that influence incidence rate include:
- New risk factor
- changing habits
- changes in virulence of the causative organisms
- changes from intervention program
- selective migration
-population pattern (ex: aging? increased degenerative disease)
- reporting
- screening
- new diagnostic tools

We need to understand when changes are due to changes in the disease or other factors (like out migration of health people, improved diagnostic facilities, etc).

38
Q

What do the numerator and denominator show in incidence rate?

A

Numerator of incidence rate should:
-reflect new cases of disease in a given time period
- come from population at risk for developing disease
- be part of the denominator

Denominator should:
- include persons at risk to develop the disease being described in the time period covered
- may change over time as ppl develop the disease

39
Q

What is the difference between point prevalence and period prevelance?

A

Point prevalence is the prevalence of the disease at a certain point in time.

Period prevalence is how many people have had the disease at any point during a certain time period. Could be annual prevalence, lifetime prevalence (ex: have you ever had asthma?)

40
Q

What is the relationship between incidence and prevalence?

A

Prevalence = incidence x duration of disease

With higher incidence, there is higher prevalence (short duration of illness and recovery, prevalence may or may not change)

Longer disease duration leads to higher prevalence.

41
Q

What are measures of impact?

A

Measures of Impact is the potential impact of removing an exposure –> how much the disease development is prevented if the risk factor is removed?

Assumption: cause effect relationship must exist between risk and outcome (exposure and disease)

42
Q

What is the attributable risk?

A

Attributable Risk is incidence in exposed - incidence in unexposed

Attributable risk for the proportion of the risk: incidence in exposed - incidence in unexposed / incidence in exposed

For example;
Incidence of lung cancer in exposed (smokers) is 20%

Incidence of lung cancer in unexposed (non-smokers) is 3%

Attributable risk = 20 minus 3 = 17% of lung cancer cases can be prevented if smoking is removed from the population

43
Q

What is population attributable risk (PAR)?

A

Population attributable risk is the excess risk of disease in total population attributable to exposure. It is the reduction in risk which would be achieved if population entirely unexposed. It helps us to determine which exposures are relevant to public health community.

Example: fast driving , risk of dying for any cause, take out the 80 slow drivers, 44% of deaths presumably due to fast driving.

44
Q

What are measures of effect? What are the two main types?

A

Measures of effect quantifies the relative relationship between an exposure and a disease.

The two main types are Relative Risk (RR) and Odds ratio (OR).

45
Q

What is relative risk? (RR)

A

Relative risk (RR) is a measure of effect. It is the ratio of the risk of disease in people exposed compared to the risk in people unexposed.

The probability of having a disease with risk factor respect to the probability of having a disease without risk factor, it is used in cohort studies.

46
Q

What is odds ratio? (OR)

A

The Odds ratio (OR) is the ratio of odds of a condition in the exposed compared to the odds of the condition in the unexposed. It is usually applied in prevelance studies.

It is the ratio between exposure ODDs and non exposure ODDs; it is used in case control studies and in corss-sectional studies.

47
Q

What is the difference between a screening and a diagnostic test?

A

Screenings are a measure of secondary prevention, it detects early asymptomatic phase whereby early treatment can be given and disease can be cured or its progression can be delayed.

Screening is the search for unrecognized disease by means of applied tests, exams, or other procedures in apparently healthy individuals.

Screening programs work better when the time lag between the disease’s onset and the disease’s final critical point is long.

Quality of screening and diagnostic tests is critical.

48
Q

What is prescriptive screening?

A

Prescriptive screening is for case detection. It is the presumptive identification of unrecognized disease and doesn’t arise from a patient’s request.

People are screened primarily for their own benefit.

Example: neonatal screening

49
Q

What is prospective screening?

A

Prospective screening is for control of disease. The program may, by leading to early diagnosis, permit more effective treatment and reduce the spread of infectious disease and mortality.

People are screened for the benefit of others.

Example: HIV, ebola, COVID

50
Q

What are the two types of screening and the criteria for screening related to the disease and test itself?

A

The two types of screening are:

  • mass screening: application of screening test to a large and unselected population. ex: mammography in women
  • high risk/selective/targeted screening: screening of selected high-risk groups in the population. ex: screening for familial cancers

The two criteria for screening are:

  • Disease: should be high in prevalence, should have long and detectable preclinical stage, the natural history should be understood, and appropriate tests must be available for early detection (before symptoms appear)
  • Screening test: should be inexpensive and easy to apply, acceptable, valid (accuracy of test), reliable (precision of test).
51
Q

How do we identify a biomarker for screening? What are the requirements for a screening test?

A

Clinical biomarkers are more critical to identify. A common method to identify a biomarker for screening is the ROC curve to find the optimal threshold:
- binary biomarkers
-continous biomarkers

Requirements for a screening test to identify biomarker:
- test must be quick, easy, inexpensive.
- test must be safe, acceptable to the people screened and healthcare personnel.
- sensitivity, specificity and predictive values must be known and acceptable to medical community. Adequate follow up for screened positives with and without disease.

52
Q

What is the cut-off?

A

Screening test is a procedure that allows us to predict the presence or absence of disease. We need to find a cut-off in order to perform the test. The aim is to minimize the probability of errors (false p/false n) and maximize the probability of a true positive and true negative.

53
Q

What is sensitivity and specificity?

What is diagnostic ability?

A

The test EFFECTIVENESS, of the screening test, we measure:

Sensitivity: the ability of a test to confirm the presence of the disease

Specificity: The ability of the test to confirm the absence of the disease

54
Q

What is positive predictive value?

What is negative predictive value?

A

Positive predictive value is the proportion of people testing positive who actually have the disease; the probability of a person having the disease who is test positive.

Negative predictive value is the proportion of people testing negative who actually don’t have the disease; the probability of a person not having the disease when the test is negative.

The predictive values vary with the prevalence of the disease in the screened population.

55
Q

What is Bayes’ theorem?

A

Bayes’ theorem: as the prevalence of a disease increases, the positive predictive value of a test increases and its negative predictive value decreases.

56
Q

What are the 3 levels of prevention?

A

Effective disease prevention is based on knowledge of the natural history of the disease.

There are 3 levels of prevention:
(Primordial - prevent the risk factors)
Primary - prevent the disease
Secondary - Early detection
Tertiary - Treat and minimize disability

57
Q

What is prognosis?

A

Prognosis is the prediction about the likely outcome/course of the disease. (natural history)

Prognosis has to do with prediction and risk factors.

We express prognosis in terms of death from disease or survivors.

58
Q

What are the 5 ways to express prognosis?

A

Prognosis is expressed by deaths from disease or in terms of survivors with:

1 - Case Fatality (Number of ppl who die/ number of people with the disease)

2 - Person Years (Number of deaths/person-years over which a group is observed. Usually a strata of population and time period)

3 - Five Years Survival (percentage of patients who are alive 5 years after treatment begins or 5 years from diagnosis)

4 - Lifetables (actual observed survival over time; by using a life table to compare to other countries)

5 - Kaplan Meier Approach (number of people who died at a certain point/ number of alive up to that point. This is good for comparisons)

59
Q

What is diagnosis?

A

Diagnosis is the identification and recognition of a possible disease.

It has to do with association and screening. Very often the time to diagnosis is the baseline time. (Latency - time to detection)

60
Q

What is health? What is disease?

A

Health is the complete physical, mental, social well-being and not merely absence of disease. Also quality of life.

Disease is difficult to define: a process that unfolds over time, the natural history being the sequence of developments from earliest pathological change to resolution of disease or death.

Timeline: induction (onset) - incubation (symptoms) - latency (detection)

61
Q

What is the median survival time?

A

The length of time that half of the study population survives.

62
Q

What are the characteristics, merits, limits and effect measures of Cohort Studies?

A

Cohort studies are observational designs.

Characteristics: prospective

Merits: no temporal ambiguity, different outcomes at the same time, suitable for incidence estimation, suitable for rare exposure.

Limits: expensive, time consuming, inefficient for rare diseases, more prone to confounding compared to RCT.

Effect Measure: Relative risk (risk ratio)

Example: studying the increase incidence of tuberculosis.

63
Q

What are the characteristics, merits, limits and effect measures of Case-Control Studies?

A

Case-Control (Cross-Sectional) studies are an observational study design.

Characteristics: two existing groups with different outcomes are identified in the population and compared.

Merits: least expensive, least time-consuming, suitable for the study of rare diseases.

Limits: not suitable for rare exposures, liable to selection bias and recall bias, not suitable for calculation of frequency measures.

EFFECT MEASURE: Odds ratio

64
Q

Why would you choose an experimental design?

A

Experimental design entails manipulation of the exposure and randomization of the subject to exposure.

  • Provide stronger evidence of the effect (outcome) compared to observational study.
  • Provide more VALID results because variation is minimized and bias are controlled.
  • Determine whether experimental treatments are safe and effective under controlled environments than the natural settings of the observation designs.
65
Q

What are some issues in causal research?

A
  • Bias
  • Random Error
  • Confounding
  • Effect Modification

The statistical solution to confounding bias is randomization.

66
Q

What are randomized clinical trail (RCT) advantages, disadvantages, measures?

A

Experimental research design: It is the gold standard of research designs, they provide the most convincing evidence of relationship between exposure and effect.

Advantages
- Equally distributes characteristics that may be independent risk factors for
the outcome of interest
- Best evidence study design
-No inclusion bias using blinding
- Controlling confounders
- Comparable groups using randomization

Disadvantages
- Biases are likely to arise in assessing outcome than in assessing exposure
- Large trials may affect statistical power
- Long term follow-up with possible losses
- Compliance
- Expensive

Measure: RR (prospective study)

67
Q

How do you choose your research design?

A

The choice of design depends on:
-Research question
-Research goals
-Research beliefs and values
-Research skills
-Time and funds

The choice of design is also related to:
-Status of existent knowledge
-Occurrence of disease
-Duration of the latent period
-Nature and availability of information
-Available resources

68
Q

What is a double blind study?

A

Neither the observers or the participants know who received the treatment and who received the placebo

69
Q

What are the clinical trial phases?

A

Before starting with clinical trials, pharma companies conduct extensive preclinical studies in models in vitro (cultured cells) or in vivo (lab animals).

Phase 0 - recently introduced to accelerate development of promising drugs. Rank drug candidates in order to decide who has the best pharmacokinetic parameters and who will go further in development and testing.

Phase 1 - Determine maximum tolerated dose. First stage of testing in humans on 20-80 healthy volunteers. Conducted to measure the safety, pharmacovigilance, tolerability, pharmacokinetics, pharmacodynamics of drug.

Phase 2 - Assess the activity of the drug and any side effects at the doses. Therapeutic exploratory investigation. 20-300 subjects suffering from diseases that fall into the probably therapeutic activity of the drug candidate. Goal to find effective dose and optimal dose regimen.

Phase 3 - Compare the therapeutic activity of new drug with old drug. 300 - 3000 or more patients. These phase studies are randomized controlled multicenter studies and are used to perform final evaluation of the effectiveness of drug vs current gold standard. Most expensive , long lasting and difficult.

Phase 4 - Father more info on safety, efficacy and use. Post-marketing surveillance. Conducted after marketing of drug and has been sold. This phase aims to investigate new indications, administration, new associations.

70
Q

What are some ethical issues in clinical studies to control for?

A

The risks to the study participants are minimized.

The risks are reasonable in relation to the anticipated benefits.

The selection of study participants is equitable.

Informed consent is obtained.

There are adequate provisions for monitoring data collected to ensure the safety of the study participants.

The privacy of the participants and confidentiality of the data are protected.

Depends on literacy of patients: they should fully understand risks from doctors.

71
Q

What are some things to know about GPower? What are t-tests used for? What is power? What is a clinically significant effect size?

A

GPower is a program that helps you find the optimal sample size.

A t-test is used to compare means.

Power is the probability of rejecting Ho, given that the second hypothesis is false. We want to maximize the power.

Effect Size associations:
= .10 small association
.30 medium association
.50 strong association

72
Q

What are some potential biases in cohort studies?

A

Bias in assessment of the outcome.

Information bias (quality of info is different between groups).

Biases from nonresponse and losses to follow up. (depends on disease).

Analytic bias (strong preconceptions).

73
Q

When would a cohort study NOT be a good idea?

A

Strong evidence does not exist, a cohort of exposed and non exposed individuals cannot be identified, you don’t have past records to conduct a retrospective cohort study, or diseases occur at very low rates.

74
Q

When is a cohort study warranted?

A

When we have an idea of which exposures are suspected as possible causes of disease. (Good evidence that suggests an association).

When we can minimize losses to follow up of the study population. (The interval between exposure and development of disease is short. There is a benefit to the study participant to participate).

75
Q

What do case control studies, cohort studies and cross-sectional studies have in common?

A

These studies are:
1. Looking for an association between a factor and a disease.
2. Inferences regarding a possible causal relationship

76
Q

How is a case-control study designed?

A

You start with the 2x2 exposure contingency table, with diseased/not diseased. Then you measure past exposures.

Notice: it is best to look at multi-center studies, because if you select from a single hospital, it may not be generalizable. Also don’t select severe cases.

Matching is important - in order to reduce the variability is important. Choose the controls so they are similar to the cases in certain characteristics, match for factors about which we may be concerned.

77
Q

What are the two types of matching (in study design)?

A

Group Matching (frequency matching): selecting controls in a manner that are the proportion of control with certain characteristics is identical to the proposition of cases with the same characteristic.

Individual Matching: A control that is similar to the case in terms of a specific variable.
Usually match for age, gender and in a good study co-morbidities.

If there are too many characteristics, its hard to find an appropriate control.

78
Q

When is a case-control study warranted?

A

When we want to evaluate a pre-disposing exposure. First step when searching for the cause of an adverse health outcome. Less expensive than cohort studies, be carried out more quickly. It is valuable when the disease is rare. Hereditary diseases.

79
Q

Why would you use multiple controls? (Case-control studies)

A

Controls of the same type: there may be a limit to the potential cases available. Two or three controls for each case and it can increase the power of the study

Multiple controls of different types: when we are worried about the representation of the exposure of the selected control group; you can choose an additional control group. If the findings differ, the reason should be sought.

80
Q

What are the bias is case-control studies?

A

Selection bias, information bias, confonding.

81
Q

What is a confounding bias?

A

Confounding bias occurs when we observe an association between two factors (like coffee and cancer), and we may want to derive a causal inference - when in fact the relationship is not causal; there is a third important factor. (example, smoking is associated with coffee drinking, but not a result of coffee drinking).

82
Q

What is a selection bias?

A

A selection bias is when the cases or controls are selected in a way that an apparent association is observed, even if in reality it is not the case. For example - in general those who respond to a study often differ from those who do not.

83
Q

What is an information bias?

A

An information bias occurs when the means for obtaining information about the subjects in the study are inadequate, so that as a result some of the info gathered regarding exposures and/or disease outcomes is incorrect.

Examples could be in case control studies, as the data is historical, you are more likely to have information bias as you aren’t sure if it is accurate or not/how it was collected.

84
Q

Why is plotting the epidemic curve on a graph useful?

A

Plotting the epidemic curve in a graph is useful to:

  • help identify what type of outbreak (single-source or person to person) has occured
  • helps determine median incubation period
85
Q

What happens to the prevalence and incidence rates when you remove part of the population from the denominator?

A

Looking at prevalence and incidence rates, everyone in the denominator needs to also be able to join the numerator. If you remove part of the population from the denominator, the prevalence rates will go up.

The example in the book is about women with hysterectomy and uterine cancer rates. Women with hysterectomies cannot get uterine cancer, so they need to be removed from the calculation, and therefore incidence rates go up.

86
Q

What is a standarized mortality ratio?

A

Standarized mortality ratio is used when number of deaths for each age-specific stratum are not available. It is used to study mortality in an occupationally exposed population.

87
Q

In a randomized study comparing treatments A and B, what is the reason for “double blinding”?

A

To improve generalizability of the results.

88
Q

What are the main measures of disease frequency?

A

Prevalence, Incidence and Attack Rate.

89
Q

Explain effect size.

A

Effect size is used in the context of sample sizes. For example, in a survey or experiment, the effective sample size takes into account factors like stratification or clustering that may affect the precision of estimates. It provides a measure of the information content of a sample that accounts for its design complexity.

90
Q

What are some general concepts about Kaplan-Meier?

A

In preparing a Kaplan Meier survival analysis, each subject is characterized by 3 variables:
- their serial time ( from when enrolled in study/treatment begins to end of study/ event)
- their status at the end of their serial time (event occurrence or censored)
- the study group they are in

This analysis calculates survival time probabilities and curves.

Subjects either have an event of interest or are censored.

Censoring means the total survival time for that subject cannot be accurately determined. (drops out, lost to follow up, etc). They show as tick marks, do not terminate the interval .

Known survial is terminated by an event of interest and is known as an interval. On graph as horizontal line.