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Title: Split-mouth studies and systematic reviews the analysi


1
Split-mouth studies and systematic reviews
  • Ian Needleman1 Helen Worthington2
  • 1Unit of Periodontology
  • UCL Eastman Dental Institute
  • International Centre for Evidence-Based Oral
    Health, London UK
  • 2School of Dentistry, University of Manchester, UK

2
Split-mouth studies and systematic reviews
  • What is the issue?
  • Why include them?
  • How to include them
  • Examples

3
Split-mouth studies and systematic reviews the
analysis issue
  • As we know, the analysis of split-mouth and
    parallel group studies is not the same.
  • As a result, if a meta-analysis includes both
    types of trials without considering the
    differences, the result might be unreliable
  • The confidence interval will be incorrect,
    possibly leading to
  • An inappropriate conclusion on clinical
    importance (and statistical significance)
  • Distortion of impact of clinical heterogeneity

4
Why include split-mouth studies in systematic
reviews?
  • Because of the totality of the evidence
  • Possible advantages of split-mouth trials over
    parallel group
  • Each participant acts as own control
  • Therefore, fewer participants are required to
    obtain same study power as parallel group
  • Every participant receives each intervention,
    therefore good for determining preferences

5
How to include split-mouth studies in systematic
reviews
  • Designing the systematic review
  • Is split-mouth an appropriate design to answer
    this question?
  • Are carry-over effects a risk?

6
How to include split-mouth studies in systematic
reviews
  • Conducting the systematic review
  • Fundamental question Is meta-analysis justified
    in principle?
  • Are the trials similar enough in chief
    characteristics
  • Types of populations
  • Types of interventions
  • Types of outcomes

7
How to include split-mouth studies in systematic
reviews
  • Possible ways
  • Narrative (qualitative) summary in evidence
    tables only.
  • Advantage split-mouth studies contribute to
    totality of evidence and analytic issues (may be)
    avoided
  • Disadvantage Do not contribute to summary
    estimate or to investigation of heterogeneity
  • Analyse as if parallel group
  • Not recommended due to potentially unreliable
    meta-analysis summary estimate

?
8
How to include split-mouth studies in systematic
reviews
  • Possible ways
  • Meta-analyse those split-mouth trials with
    adequate data separately from parallel group
    trials and ignore those without such data
  • Advantage More information
  • Disadvantage Selection bias
  • Incorporate data from first intervention side if
    reported separately
  • Advantage More information
  • Disadvantage May be biased sample where
    trialists identified carry-over effects

9
How to include split-mouth studies in systematic
reviews
  • Possible ways
  • Approximate a paired analysis by inputing a
    measure describing the similarity of outcomes
    within each participant.
  • Advantages Makes use of all trials
  • Disadvantages
  • May make assumptions about data (that can be
    tested)
  • May need statistical support

10
Approximating a paired analysis - you will need
one of the following
  • Individual patient data in publication or from
    contact with trialist
  • Mean and SD/SE of patient specific differences
    between intervention A and B measurement

11
Approximating a paired analysis - you will need
one of the following
  • Mean difference (or difference between means) and
    one of
  • t-statistic (paired t-test)
  • P-value from paired t-test
  • Confidence interval from paired analysis
  • Graph of measurement of intervention A and B from
    which matched individual data values can be
    extracted.

12
Approximating a paired analysis
  • Step one. Calculate the correlation coefficient
    (r) for each study.
  • The correlation coefficient describes how similar
    the measurement of intervention A and B were
    within a participant
  • Assumes that mean and SD for each intervention
    treatment side/period would be the same
  • If r is inconsistent between studies, then
    caution on proceeding further.
  • If r cannot be calculated for a trial, use
    representative value from other trials as the
    trials should be very similar for a particular
    intervention in a systematic review

13
Approximating a paired analysis
  • Step two. Calculate SE of the mean difference
    between the interventions
  • Step three. Enter the data into meta-analysis
    software. Generic inverse variance method of
    Cochrane Software - RevMan - particularly
    flexible (free download).
  • Step four. Conduct sensitivity analyses employing
    different values for r to investigate robustness
    of estimates especially for studies were r could
    not be calculated

14
How to include split-mouth studies in systematic
reviews
  • Further issues
  • Generally advisable to meta-analyse split-mouth
    and parallel group trials separately as
    sub-groups to investigate systematic differences
  • Authors of systematic reviews please state
    explicitly how data from split-mouth studies has
    been managed

15
How to include split-mouth studies in systematic
reviews
  • Example of meta-analysis of split mouth and
    parallel group trials.

16
Needleman, Worthington, Giedrys-Leeper, Tucker
2006, Cochrane Database of Systematic Reviews
17
Split-mouth studies and systematic reviews
  • Conclusions
  • Split-mouth studies should be included in
    systematic reviews when appropriate
  • It is possible to combine split-mouth and
    parallel group studies in meta-analysis
  • Our observation within the Cochrane Oral Health
    Group is that differences in effect sizes exist
    between split-mouth and parallel group studies of
    the same intervention

18
Split-mouth studies and systematic reviews
  • Resources
  • Cochrane Handbook and RevMan www.cochrane.org
  • Elbourne et al. 2002. Int J Epidem, 31 140-149
  • Follman et al. 1992. J Clin Epidem, 45 769-773
  • Contact i.needleman_at_eastman.ucl.ac.uk
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