Meta-analysis
aim of science = weave together
understanding of world from different studies
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replication = bedrock of
science - can same result be observed by different researchers?
reviewing research to cumulate
knowledge
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summarize/synthesize what
is known about some research question
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degree of relationships/
differences, estimates of population parameters, variability across studies
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plan next steps in research
approaches to reviewing research
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narrative literature review
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reviewer gives verbal, somewhat
subjective summary and appraisal of studies
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counting up how many studies
showed statistically significant results
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if all/nearly show significance,
then conclude some relationship/difference
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if some significant and some
not, then conclude results are mixed or conflicting
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if nearly all nonsignificant,
then conclude no relationship/difference
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estrogen replacement therapy
and dementia (Yaffe et al.)
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estrogen prescribed for alleviating
symptoms of menopause and preventing certain associated conditions (e.g.,
osteoporosis)
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other health effects? controversy
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odds ratios between estrogen
use and dementia from 10 studies
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odds of dementia for estrogen
users relative to nonusers
Study
OR (95% CI)
A (case-control) n = 120
2.4 (0.7 - 7.8)
B (case-control) n = 213
1.7 (0.4 - 5.9)
C (case-control) n = 340
0.7 (0.4 - 1.6)
D (case-control) n = 260
1.2 (0.5 - 2.6)
E (case-control) n = 227
1.1 (0.6 - 1.8)
F (case-control) n = 165
0.3 (0.1 - 0.8)
G (case-control) n = 680
0.7 (0.4 - 1.2)
H (case-control) n = 304
0.6 (0.3 - 1.2)
I (prospective) n = 1,124
0.5 (0.3 - 0.9)
J (prospective) n = 472
0.5 (0.2 - 1.0)
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goal: summarize results across
studies quantitatively
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focus on magnitude of difference/relationship/association
("effect size")
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statistical significance
irrelevant
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select studies for inclusion
- whether published, substantively meaningful distinctions, quality
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estrogen & dementia -
MEDLINE search, bibliographies of articles, experts
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compare or combine results
from different studies
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decide whether studies similar
enough to combine
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meta-analysis not pooling
all of the data
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rather, analysis of separate
studies' results
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e.g., what is the average
OR, correlation, etc. in these studies?
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e.g., which type of studies
have a higher or lower OR, correlation, mean value, etc.?
weighting by sample size
common
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weighted mean OR for all
10 studies = 0.71
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for 8 case-control retrospective
studies = 0.79
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for 2 prospective studies
= 0.48
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meta-analysis shows markedly
different conclusion than vote- counting approach
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studies show somewhat decreased
risk for dementia among estrogen users
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beneficial effect of estrogen
not clear because no good randomized experiments, confounding may exist
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interpretation of meta-analytic
summaries similar to interpretation of original studies - research design
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summary of observational
studies - cannot make causal conclusions
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retrospective vs. prospective
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factors related to opiate
addicts' continued opiate use during/after treatment (Brewer et al.)
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how strongly is patients'
cocaine use associated with relapse to opiates?
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retrospective - weighted
mean r = .28 (4 studies)
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prospective - weighted mean
r = -.03 (3 studies)
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summary of experimental studies
- can make causal inferences
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depression causes continued
use?
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three experiments - opiate
addicts randomly assigned to psychotherapy or no psychotherapy
all showed that psychotherapy
reduced patients' depression
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all experiments showed psychotherapy
increased opiate use
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thus, depression not causally
linked to continued opiate use
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meta-analytic summary consistent:
depression very weakly correlated with continued opiate use (weighted mean
r = .10)
criticisms of meta-analysis
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some problems common to all
research - incorrect interpretations, inattention to detail, relying on
significance testing
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including biased or flawed
original studies - can use screening criteria to exclude or weight/stratify
results by study quality
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file drawer problem - not
including unpublished studies