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![Page 1: Clinical Trials: Introduction from an Epidemiologic Study Design Perspective Health Sciences Center Health Sciences Center School of Public Health & Stanley.](https://reader035.fdocuments.net/reader035/viewer/2022070400/56649f125503460f94c25a6b/html5/thumbnails/1.jpg)
Clinical Trials: Introduction from an Epidemiologic Study
Design Perspective
Clinical Trials: Introduction from an Epidemiologic Study
Design Perspective
Health SciencesHealth Sciences CenterCenter
School of Public Health &
Stanley S. Scott Cancer Center
LSU
Neal SimonsenNeal Simonsen
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Experimental Study Design
Exposed
Not exposed
Disease nonoccurrence
Unethical to perform experiments on people if exposure is harmful
Exposure assigned
http://www.epiet.org/course/Presentations/Presentations%202003/13-%20Cohort&Case%20control/13-%20Cohort&Case%20control_files/frame.htm
OK
Not OK
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A more-often-ethical alternative for conducting studies in human populations
Observational Epidemiology allows capitalization on “natural” or “unplanned” experiments.
Take advantage of groups who have been exposed for non-study purposes.
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What is a cohort?
Group of individuals Group of individuals ……sharing same experience sharing same experience ……followed up for specified period of timefollowed up for specified period of time
Examples:Examples: Birth cohortBirth cohort Cohort of guests at barbecueCohort of guests at barbecue Occupational cohort of electriciansOccupational cohort of electricians
http://www.epiet.org/course/Presentations/Presentations%202003/13-%20Cohort&Case%20control/13-%20Cohort&Case%20control_files/frame.htm
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Cohort Study
Exposed Not Exposed
DevelopDisease
Do NotDevelopDisease
DevelopDisease
Do NotDevelopDisease
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First select
Exposed a b a + b a + b
cNot exposed c d c + d c + d
Then follow to see whether…Disease Disease doesdevelops not develop
a
Totals
Incidence Rates of Disease
Analytical Design of a Cohort Study
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Relative Risk
Risk in exposedRisk in non-exposed
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Potential Biases in Cohort Studies
Bias in the assessment of the outcomeBias in the assessment of the outcomeIf person assessing disease also knows If person assessing disease also knows
exposureexposureo May be addressed by blindingMay be addressed by blinding
Information biasInformation biasQuality of information not comparable Quality of information not comparable
between exposed and non-exposed between exposed and non-exposed individualsindividuals
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Biases in Cohort Studies (Cont’d) Biases from non-response and losses to Biases from non-response and losses to
follow-upfollow-upNon-participation / non-response and Non-participation / non-response and
dropouts can complicate interpretations dropouts can complicate interpretations of findingsof findings
Analytic biasAnalytic biasBiases of epidemiologists/biostatisticians Biases of epidemiologists/biostatisticians
analyzing the dataanalyzing the data
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Relative merits: cohort studiesAdvantagesAdvantages Clear temporal Clear temporal
relationshiprelationship Least susceptible to some Least susceptible to some
forms of biasforms of bias Can examine multiple Can examine multiple
predictors of outcomepredictors of outcome Efficient for rare Efficient for rare
exposuresexposures Useful when RCT Useful when RCT
infeasible, unethicalinfeasible, unethical
DisadvantagesDisadvantages No control over exposure No control over exposure
(vs. RCT)(vs. RCT) Inefficient for rare or Inefficient for rare or
long-latent diseaseslong-latent diseases Loss to follow-up Loss to follow-up
threatens validitythreatens validity Potential bias in outcome Potential bias in outcome
ascertainmentascertainment Relatively resource- and Relatively resource- and
time-intensivetime-intensivehttp://www.healthsystem.virginia.edu/internet/MTPCI/Introcourse02/Lecture%206%20Bovbjerg.ppt
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Basic cohort design
Crucial comparison: outcomes in persons with vs. without predictor variable (or with different levels of predictor)
Study population
Predictorpresent
Predictorabsent
NoYes NoYes
follow-up period
outcome of interest
no investigator control
http://www.healthsystem.virginia.edu/internet/MTPCI/Introcourse02/Lecture%206%20Bovbjerg.ppt
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Basic trial design
Estimate of effect is rate (risk) of outcome in treatment vs. control (e.g. risk[treatment]/risk[control])
Study population
Treatment No treatment(usual care, placebo)
NoYes NoYes
follow-up period
outcome of interest
assignment by investigator
http://www.healthsystem.virginia.edu/internet/MTPCI/Introcourse02/Lecture%206%20Bovbjerg.ppt
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Two trial flavors
Trials may be:Trials may be:
Non-randomized (in terms of assignment to Non-randomized (in terms of assignment to treatment group)treatment group)
oror
RandomizedRandomized
Why be random?Why be random?
o [Sounds sooo unscientific…][Sounds sooo unscientific…]
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Example of Bias due to Non-randomized Treatment Assignment Study in Lanarkshire, 1930Study in Lanarkshire, 1930
Treatment 1: 3/4 pint raw milk/day (n=5,000)Treatment 1: 3/4 pint raw milk/day (n=5,000) Treatment 2: 3/4 pint pasteurized milk/ day Treatment 2: 3/4 pint pasteurized milk/ day
(n=5,000)(n=5,000) Treatment 3: no milk (n=10,000)Treatment 3: no milk (n=10,000)
Response = growth (increase in height and Response = growth (increase in height and weight)weight)
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The Results
No milk group had significantly better No milk group had significantly better growth than either milk treated groupgrowth than either milk treated group
Giving kids milk is bad for their growth???Giving kids milk is bad for their growth???
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The Problem and its Consequences
Assignment initially randomized, but… teachers Assignment initially randomized, but… teachers could “improve” the assignmentcould “improve” the assignment
Results: no milk group had better growth than Results: no milk group had better growth than either milk treated groupeither milk treated group
Why?Why?
Teachers tended to assign poorer children to the Teachers tended to assign poorer children to the milk treated groupsmilk treated groups
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Types of Associations
Milk supplementation
A. Causal B. Due to Confounding
Real vs. Spurious Associations
Milk supplementation
BetterGrowth
PoorerGrowth
PovertyObserved Association
Observed Association
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“Gold Standard”: Basic randomized, controlled clinical trial design
Estimate of effect is rate (risk) of outcome in treatment vs. control (e.g. risk[treatment]/risk[control])
Study population
Treatment No treatment(usual care, placebo)
NoYes NoYes
follow-up period
outcome of interest
random assignment by
investigator
http://www.healthsystem.virginia.edu/internet/MTPCI/Introcourse02/Lecture%206%20Bovbjerg.ppt
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Summary: Epidemiologic Study Types Studies of group characteristicsStudies of group characteristics
EcologicEcologicPotential ecologic fallacyPotential ecologic fallacy
Studies of individual characteristics*Studies of individual characteristics*Cross-sectionalCross-sectionalCase-ControlCase-ControlCohortCohortIntervention/Clinical TrialIntervention/Clinical Trial
* [~within one group vs. another(s)]* [~within one group vs. another(s)]