Systematic Reviews - Royal Devon and Exeter Hospital
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Transcript Systematic Reviews - Royal Devon and Exeter Hospital
Objectives
Identify the key elements of a good
randomised controlled study
To clarify the process of meta analysis
and developing a systematic review
To use this to critically evaluate a
Cochrane review
Answer a clinically relevant problem
using information from a systematic
review
RCT – key issues
• Allocation – method of randomisation
(to minimise confounding)
• Blinding – patient, clinician and study
personnel
(to minimise observer and recall bias)
• Follow-up (adequate; complete; differences
between those followed up and those lost to
follow-up)
• Intention to treat analysis
Checklist for appraising RCTs
• Was assignment of patients to treatment
randomised?
• Was randomisation concealed?
• Were the groups similar at the start of the
trial?
• Was follow-up of patients sufficiently long and
complete?
• Were all patients analysed in the groups to
which they were randomised (intention to
treat)?
• Were patients, clinicians and study personnel
kept blind to treatment?
• Were groups treated equally, apart from the
experimental therapy?
Overview of a systematic review
• ASK a clear and focussed question
– How easy is this?
• SEARCH for relevant studies
– ALL studies, anywhere, ever? Does systematic
have to be exhaustive?
• APPRAISE the quality and relevance
– Structure depends on the type of studies
• SYNTHESISE
– Meta-analysis or narrative synthesis
• INTERPRET
– In relation to the question asked (policy or clinical)
Correspondingly…
critical appraisal
• Did the review ask a clearly focussed
question?
• Are the findings valid?
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–
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Did they find all the relevant studies?
Was quality appraised?
Were the study findings combined appropriately?
Were the study results consistent?
• What are the findings?
• Will the findings help me with my patient (or
policy problem)?
Finding studies…
• Electronic databases
– General
• Medline
• Embase
– Methodologically specific
• Cochrane Library (Reviews and CCTR)
• DARE, HTA database, INAHTA, NHS EED
– Disease area specifics
• Psychlit
• Cancerlit
– “Grey literature”
• Hand searching
• Citation searching
Getting the right studies…
• PUBLICATION BIAS: Systematic exclusion of
studies with (usually) negative findings
• DUPLICATE PUBLICATION BIAS: Multiple
publications of positive trials leads to doublecounting in reviews
• CITATION BIAS: Positive studies are cited more
frequently
• LANGUAGE BIAS: English and positive results
• TIME LAG BIAS: Negative studies take
longer to be published
• RETRIEVAL BIAS: Method of
searching produces a systematic error –
high impact journals are more likely to
report positive findings and to be listed
in databases
Assessing publication (and
similar) bias(es)
• Were the searches comprehensive?
• Evidence of “missing studies”
• Look at the FUNNEL PLOT
Biased pooled effect size
Study
size
Treatment better
Control better
Effectiveness
Critical appraisal
•
Not going to cover in detail
• Some explicit method is required
– General “systematicity”
• Transparency
• Reducing errors and bias
– Lots of issues!
• One or two reviewers?
• Measure agreement?
• Scores or not?
• A tension:
– Identify all studies? But…
– Include only the best quality??
• Methodological quality is important as
possible reason for differences between
studies
Findings of review
Forest Plot of Amenorrhoea
following Microwave Endometrial Ablation
Odds ratio
(95% CI)
Study
Cooper
0.96 (0.58,1.59)
Microsulis
1.47 (0.92,2.34)
Meyer
0.56 (0.30,1.04)
Romer
1.56 (0.24,9.91)
Soysal
0.58 (0.18,1.93)
Favours control
Favours treatment
0.1
1
10
Odds ratio
Heterogeneity
• Are the studies all measuring the
same thing?
• If not, then the pooled estimate may not
be informative
• Heterogeneity can due to a variety of
reasons
Sources of heterogeneity
• Chance (i.e. sampling error)
• Clinical
– Different doses or duration of treatment or
co-interventions
– Different populations (i.e. risk of events)
– Different outcome measures
• Methodological
– Blinding
– Methods of analysis
– Publication bias
Statistical significance and
heterogeneity
• Studies can be tested statistically for
heterogeneity to see if results are
significantly different
• P value of 0.05 or lesser indicates
statistical significance for heterogeneity
• If significant for heterogeneity, then
need to consider whether results can be
pooled
Summary of critical appraisal
of a systematic review
• Was there a clear question?
• Did they find all the relevant studies?
• Was the quality of the studies considered?
Was the quality so poor that the review is
suspect?
• What are the results?
• Is there important heterogeneity? What does
it mean?
• What are the implications of the review
findings for my clinical or policy question?
Are they good questions?
Appropriate to compare with non opiate
analgesics or sedatives?
Outcome measures appropriate?
Which outcomes most relevant (in
order)?
Which outcomes easiest to measure?
Any difficulties with some of these
outcomes?
Appropriate search
strategy?
Were the Cochrane neonatal group
guidelines followed in relation to
Blinding of randomisation
Blinding of intervention
Completeness of follow up
Blinding of outcome measurement –
see handout
Appropriate search
strategy?
What is a quasi randomised study?
What is Cochrane’s central register of
controlled studies?
Were non English studies included?
Was there risk of publication bias? How
to overcome this.
Was more than 1 reviewer involved?
How were differences resolved?
Data Analysis/ Results
Look at meta-analysis of PIPP scores (figure 01.01)
Do you think the all studies result shows a
satisfactory forest plot?
What is your interpretation of the results of the other
methods of assessing pain (figure 01.04)
What is the relevance of a reduction of 2 in the PIPP?
(see handout of PIPP)
What are the differences in execution and reporting
of trials which authors say will interfere with applying
this?
Data Analysis/ Results
What do they mean that heterogeneity
was high in all analyses of pains?
What are sources of heterogeneity for
PIPP?
What are the other sources of
heterogeneity?
Do you think there is sufficient evidence
to recommend morphine over
midazolam for sedation?
Application
How important are the results?
How applicable are the results?
What do you do?