systematic reviews and meta analysis course guide Flashcards
what is a systematic review
aims to answer defined question by collecting and summarising empirical evidence that fits eleigibility criteria
what is a meta analysis
statsistical techniques used in a systematic review to integrate the results of the studies
why do a systematic review
high volume of data
impossible for clinicians to analyse it all
individual studies - not enough power to make decisions
multiple studies = inconsistent results
review gives genrealisable conclusions
advantages to a systematic review
transparent - explicit methods
meta analysis increases power and enhance precision accounting for sample size and uncertainties
demonstrate lack of adequate evidence
stage 1 of the systematic review
plan
define the qn
frame qn around the participants, exposure, outcomes and study designs of interest
stage 2 of the systematic review
identify research - clearly defined search criteria and a thorough search of literature
selection of studies - inclusion and exclusion criteria a priori
study quality assessment - assessed against recognised/user defined criteria eg identify biases
stage 3
reporting and dissemination - details extracted and effect estimate
details tabulated
estimate an overall effect by combining the data
strength of meta analysis
more subjects - more reliable and precise estimate
heterogeneity can be identified and explored
weakness of meta analysis
if too heterogenous inappropriate to pool
stats and visualisation of meta analysis
forest plot
graphical representation of each result and combined meta analysis result
escribe publication bias
grewater likelihood of papers with stat significance to be published
failure to include all data (including null results) may mean effect is over/under represented
how is publication bias explored
funnel plots
see if link between study size and effect of estimate
heterogeneity exists because of
clinical, methodological differences and unknown study characteristics
how can studies differ
population, exposure, outcomes and designs used
how can you explore heterogeneity
Galbraith (radial) plots