Session 1: History of TB Flashcards
TB was initially thought of as what?
A genetic disease.
What was thought to be a primary reason for TB decline over 20th century?
Improved standard of living
TB properties.
Slow growing, airborne, not that easy to get (30% get infected, 5% get primary disease, 95% latent: of latent 5% reactivation, 95% persistent latent TB) Large % of those that get TB, don’t get sick.
Latent TB state
Inhaled droplets of bacteria –> reach aveoli –> alveolar macrophages –> reaches lymph nodes –> bloodstream and disseminates –> controlled by cell mediated immune response
Validity
lack of bias and confounding
Bias
a “systemic error in the design or the conduct of the study that leads to erroneous association between exposure and disease:
Confounding
“The mixing effects between an exposure, an outcome and a third extraneous variable “the confounder”
Selection bias
error that results from the way you chose the study subject. Would happen different than if you chose randomly. What did an article say about who they said their source population was. That is generalizability.
Generalizability
Generalization is a judgment in which the investigator relates the conclusions of a trial beyond the setting of the trial and the particular people studied in the trial
What are common sources of selection bias
In case control-control studies: (control slection process, self-selection bias, differential surveillance, diagnosis of referral cases
In cohort studies: (deceased/moved (retrospective) and loss to follow-up (prospective).
INFORMATION BIAS (SECOND KIND OF BIAS)
Has to do with how you access. (Measurement error “misclassification”, recall bias, Interview bias)
Confounding
Distortion between the measure between exposure and outcome, and occurring when exposure is mixed together with another exposure (the confounder).
Definition of a confounder
~Confounder is associated with the exposure AND the outcome
~Confounder is not on the causal pathway between exposure and outcome
~May be known or unknown
Dealing with Confounding
Design Phase: Prevention (Randomization, restriction, matching)
Analysis Phase: Adjustment (Standardization, stratified analysis, multivariate analysis)
Threats to validity
Right source population?
Did they get sample they wanted
correct data collection
look for association
look for confounding
did they conclude things logically