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Systematic reviews of animal studies

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To understand where evidence is lacking. To understand the limitations of animal models ... Allocation concealment. Reporting of animals excluded from analysis ... – PowerPoint PPT presentation

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Title: Systematic reviews of animal studies


1
Systematic reviews of animal studies
  • Malcolm Macleod

2
Why do systematic reviews of animal studies?
  • To summarise existing data
  • To help design clinical trials
  • To understand where evidence is lacking
  • To understand the limitations of animal models

3
Basic requirements
  • Understanding the model or knowing someone who
    does
  • Clear a priori hypotheses
  • A clear search strategy with inclusion and
    exclusion criteria
  • Information and data management

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The importance of hypotheses
  • Observational research
  • Susceptible to identification of statistically
    significant but biologically meaningless spurious
    associations
  • If there isnt a question for which you wish to
    know the answer, why are you doing it?

6
Examples
  • Hypothermia improves outcome in animal models of
    stroke
  • The efficacy of hypothermia in animal models of
    stroke depends on the degree of cooling
  • Evidence for the efficacy of NXY-059 is
    confounded by poor study quality
  • The evidence for efficacy of stroke dugs in
    animals is confounded by publication bias

7
Search strategy
  • What are you looking for
  • Controlled studies testing the effect of
    hypothermia in an animal model of focal cerebral
    ischaemia brought about by occlusion of a
    cerebral artery, where outcome was measured as
    infarct size or neurobehavioural score.
  • Exclusion criteria
  • hypothermia was accomplished with use of a
    pharmacological agent that may also have an
    intrinsic neuroprotective property
  • cooling was used to counteract (spontaneous)
    hyperthermia after MCAO
  • brain cooling lasted lt10 min, for example to
    counteract heating in models of photochemically
    induced cerebral infarction
  • data were presented in a way not suitable for use
    in a meta-analysis (e.g. no information on group
    size, mean or variance) or if
  • mortality was the only outcome measure.

8
Example search strategy
  • Studies of hypothermia in animal models of acute
    ischaemic stroke were identified from
  • PubMed, EMBASE and BIOSIS up till December 31,
    200gt with the search strategy ltcerebralgt OR
    ltbraingt OR ltneurongt OR ltneuronalgt OR ltnervousgt
    AND ltischemiagt OR ltischaemiagt OR ltstrokegt AND
    lthypothermiagt OR lttemperaturegt (limit animals)
  • hand searching of abstracts of scientific
    meetings of the International Society of Cerebral
    Blood Flow and Metabolism, the International
    Stroke Conference Joint (International)
    Conference on Stroke and Cerebral Circulation
    before 2000 and the European Stroke Conference
    during the same time period
  • reference lists of identified publications and
  • requests to authors of identified publications

9
Source selection
  • Download search results to reference management
    system (eg RefMan)
  • 2 investigators independently select sources
    against inclusion/ exclusion criteria
  • May have to retrieve full text
  • Discrepancies resolved by negotiation or in
    discussion with third investigator

10
Data extraction
  • Publication meta-data

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Data extraction
  • Publication meta-data
  • Outcome data

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Data cleaning
16
Data analysis
  • Standardised mean difference analysis
  • Weighted mean difference analysis
  • Normalised mean difference analysis
  • Fixed Effects
  • Random Effects
  • Meta-regression

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Testing significance
  • Partitioning of heterogeneity
  • Observed heterogeneity within group
    heterogeneity between group heterogeneity
  • Test against chi squared distribution with n-1
    degrees of freedom
  • Observational, so set high statistical bar

20
Data analysis
21
Demonstration
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So, what can it do ?
  • Describe a literature .

23
Estimate efficacy
  • Hypothermia
  • 101 papers
  • 277 experiments
  • 3353 animals

24
Describe efficacy in subgroups
25
Show potential sources of bias
NXY 059 9 publications 29 experiments 408
animals Improved outcome by 44 (35-53)
26
Illustrate publication bias
991 publications
27
Provide evidence to change practice
  • Animals
  • Sample size calculation
  • Inclusion and exclusion criteria
  • Randomization
  • Allocation concealment
  • Reporting of animals excluded from analysis
  • Blinded assessment of outcome
  • Reporting potential conflicts of interest and
    study funding

28
Further resources
  • http//www.camarades.info
  • http//www.camarades.info/index_files/papers.htm
  • malcolm.macleod_at_ed.ac.uk
  • The CAMARADES podcast
  • http//www.camarades.info/index_files/podcasts/pod
    cast.xml
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