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

1 ICEBOH Split-mouth studies and systematic reviews Ian Needleman 1 & Helen Worthington 2 1 Unit of Periodontology UCL Eastman Dental Institute International

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1ICEBOHICEBOH

Split-mouth studies and Split-mouth studies and systematic reviewssystematic reviews

Ian Needleman1 & Helen Worthington2

1Unit of PeriodontologyUCL Eastman Dental Institute

International Centre for Evidence-Based Oral Health, London UK

2School of Dentistry, University of Manchester, UK

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Split-mouth studies and systematic reviews

• What is the issue?• Why include them?• How to include them• Examples

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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

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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

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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?

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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

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How to include split-mouth studies in systematic reviews

Possible ways:1. 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

2. Analyse as if parallel group• Not recommended due to potentially unreliable

meta-analysis summary estimate

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How to include split-mouth studies in systematic reviews

Possible ways:3. 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

4. Incorporate data from first intervention side if reported separately

• Advantage: More information• Disadvantage: May be biased sample where

trialists identified carry-over effects

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How to include split-mouth studies in systematic reviews

Possible ways:5. 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

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Approximating a paired analysis - you will need one of the following

1. Individual patient data in publication or from contact with trialist

2. Mean and SD/SE of patient specific differences between intervention A and B measurement

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Approximating a paired analysis - you will need one of the following

3. 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

4. Graph of measurement of intervention A and B from which matched individual data values can be extracted.

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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

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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

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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

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How to include split-mouth studies in systematic reviews

Example of meta-analysis of split mouth and parallel group trials.

16Needleman, Worthington, Giedrys-Leeper, & Tucker 2006, Cochrane Database of Systematic Reviews

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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

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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: [email protected]

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