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29 Cards in this Set

  • Front
  • Back
Experimental Studies
Randomized and non-randomized
Observational Studies Without comparison group
Case report and case series
Cross-sectional/prevalence surveys
Observational Studies With comparison group
Cross-sectional/prevalence surveys
Case-Control
Cohort studies
Observational Studies
Simple descriptive account of interesting characteristics observed in group of patients
Generally:
Patients seen over a relatively short period
Do not include control subjects
Not planned studies
Do not involve any research hypothesis
Important role as a precursor to other studies
Cohort Studies
Prospective or Historical/Retrospective
Cross-Sectional Studies can be
Surveys
Epidemiological studies
Prevalence studies
Cross-Sectional Studies address
Analyze data collected on a group of subjects at one time rather than over a period of time
Subjects selected and information gathered in a short period of time
May be done to answer questions raised by a case-series study or may be done without a previous descriptive study
Case-Control Studies Begin with
the presence or absence of an outcome and then try to look backwards in time to detect possible causes or risk factors that may have been suggested in a case series report.

Cases: individuals selected on the basis of some disease or outcome
Controls: individuals without the disease or outcome
History or previous events of both cases and controls are analyzed in an attempt to identify a characteristic or risk factor present in the cases’ histories but not in the controls’ histories
Retrospective studies
Matching
Cohort Studies
Cohort: A group pf people who have something in common and who remain part of a group over an extended period of time
Subjects are selected by some defining characteristic (s) suspected of being a precursor to or risk for a disease or health effect
Examine what happens to the disease over time as well as the causes of the disease.
Also called prospective studies
Example of cohort study
Framingham study of cardiovascular disease
Began 1948 to investigate factors associated with atherosclerotic and hypertensive cardiovascular disease
Subjects: more than 6000 citizens of Framingham, masschussets
Long term study, follow-up interviews and exams every two years
Historical cohort study
Experimental studies in medicine that involve humans are called clinical trials
Controlled trials
studies in which the experimental drug or procedure is compared with another drug or procedure, sometimes a placebo, sometimes a previously accepted treatment
Studies with controls are much more likely to detect that the observed difference is due to the intervention.
Meta-analyses are one type
Use published information from other studies and combine the results to reach an overall conclusion
Meta-analyses Especially useful when
studies have small sample sizes or come to different conclusions

Include quantitative assessment & summary of findings
Threats to internal validity
Bias
Confounding (confounding bias) Chance
Bias
systematic error or variation in how patients selected, outcomes measured, data analyzed
Selection (volunteer)
Measurement (information, recall)
Confounding (confounding bias)
– factor associated with intervention that independently causes/associated with outcome that influences relationship of intervention to outcome
External Validity (or generalizability)
Doesn’t affect internal validity or quality
Applicability to a particular patient or population
Causality
Biologic Plausibility
Statistically significant, strong association
Temporal relationship - necessary
Repeatability/Reliability
Interaction or Effect modification
The association between exposure and disease differ in strata of the population
Example: Tetracycline discolours teeth in children, but not in adults
Confounding is a bias that you hope to prevent or control
Something to avoid
Interaction or effect modification is just a
more detailed description of the effect itself
Something to report
Observational Studies: Cross-Sectional Studies advantages
Appropriate for:
Prevalence studies
Evaluating diagnostic procedures
Quick to complete
Relatively inexpensive
Observational Studies: Cross-Sectional Studies disadvantages
Can’t establish cause (temporal relationship)
Can’t establish risk since incidence not measured
Surveys
Obtaining sufficiently large response rates
Those who agree to participate may not be representative of the population (selection bias)
Observational Studies: Case-Control studies advantages
Appropriate for:
Studying rare diseases or outcomes/events
Events that develop over a long time
Investigating preliminary hypothesis
Quickest
Least expensive
Observational Studies: Case-Control studies disadvantages
Opportunities for multiple biases
Selection bias (appropriate controls and cases)
Recall bias (memory errors)
Information bias (quality of existing data)
Compromise between what is available and what one wants to study
Can’t establish cause as can’t measure incidence
Observational Studies: Cohort Studies Prospective or Historical advantages
Appropriate for studying
Course of a disease or Prognosis
Risk factors
Rare exposures
Organized data collection
Reliable (no recall bias)
Clear time order and true measurement of incidence
Observational Studies: Cohort Studies Prospective or Historical disadvantages
Biases – mostly because not randomized
Selection, measurement, and confounding
Loss to follow-up
Time-consuming
Expensive
Observational Studies: Cohort Studies Prospective or Historical
Longitudinal and follow a group over a period of time
Causation generally cannot be proved as they are observational and do not involve intervention
However, correct time sequence thus provide strong evidence for possible cause and effect, example smoking and lung cancer controversy
Experimental Studies: Randomized, controlled trials (RCT’s) and non-random advantages
Gold standard for best internal validity
Best for establishing cause and evaluating therapy
Subject to least number of biases
If randomized (assigned by chance) decreases selection bias
If blinded decreases measurement bias (single, double, triple)
If randomized well, decreases confounding bias between members of intervention group versus control group
Experimental Studies: Randomized, controlled trials (RCT’s) and non-random disadvantages
Loss to follow-up is biggest threat to internal validity
Aside from intervention, were groups treated equally?
Time-consuming and long duration
Expensive
Volunteer bias
Intention to treat analysis
Ethical constraints/dilemmas
External validity (generalizability)