Two authors independently extracted data for each study to determine mean between-group differences and 95% confidence intervals (95% CI). This included outcome scores and number of participants overall and in each group. Data were estimated from graphs if necessary. The following rules were used (from first to last) when deciding upon which data to extract:
- mean between-group difference in post-intervention scores, adjusted for baseline scores.
- mean and standard deviation (SD) of change scores provided in the studies (post-intervention scores and change scores were not pooled in meta-analyses in which results were expressed as standardised mean differences (SMD)).
- mean (SD) post-intervention scores.
If only medians and inter-quartile ranges (IQR) were provided, medians were extracted and used as means, and SDs were estimated by dividing the interquartile range by 1.35. Cross-over studies were analysed using first period data or combined data if first period were not available. RevMan 5.4.1 software was be used to convert 95% CIs, standard errors, p values and any other appropriate combination of data or statistical results into SDs when necessary. The direction of effect of each outcome was standardised.
Meta-analyses were conducted across studies that made similar comparisons if there were at least two studies without excessive clinical or statistical heterogeneity. Clinical heterogeneity was assessed by examining the type of participants, type and intensity of the intervention, and other issues related to the design and conduct of the studies. Statistical heterogeneity was quantified using the I2 statistic where an I2 > 75% was considered to indicate excessive heterogeneity and results were not pooled. A fixed-effects model was used to pool data if the I2 was less than 50%, and a random-effects model was used if the I2 was between 50 and 75%. If studies in a meta-analysis used the same measure and same units, effects were expressed as mean differences (MD) and 95% CI. If different measures or different units were used within a meta-analysis, effects were expressed as SMD and 95% CI. In calculating SMD post-intervention scores were not be pooled with change scores. Data were analysed using RevMan v5.4.1. No sub-group or sensitivity analysis were performed.
Assessment of risk of bias in included studies
The risk of bias in each trial was assessed by one reviewer and checked by one reviewer using the five domains of Version 2 of the Cochrane risk-of bias tool. The domains assessed were potential bias arising from: the randomisation process; deviations from intended interventions; missing outcome data; measurement of the outcome; selection of the reported result.
The level of potential bias was judged as low, high or unclear (due to a lack of information or uncertainty) for each domain. Disagreements were resolved by discussion.
The PEDro score for each study was also extracted from the PEDro database. If scores were not available on the database one author assessed the score for the study.
Measures of treatment effect
Continuous data that used the same units were expressed as mean differences with 95% confidence intervals (CI). Continuous outcomes that use different units were expressed using SMD with 95% CI. Dichotomous outcomes were expressed as risk ratios (RR) with 95% CI. Time to event data were expressed as hazard ratios (HR) with 95% CI. Data were pooled in meta-analyses where appropriate and reasonable.
Unit of analysis issues
Unit of analysis issues was considered in the following three cases:
- Cross-over trials
In cross-over trials data were analysed from the first period if available. Data for different periods within the trial were only used if first period data were not provided within the study.
- Trials used in meta-analysis in which more than one type of intervention were compared
In trials that compared two or more types of interventions with no training or a sham group, data were analysed for all intervention groups. Double-counting of the control or sham group participants was avoided by using all data from the groups but dividing data from the control or sham groups by the number of groups.
- Trials where multiple measures were taken on the same participant
In trials where multiple measures were taken on the same participant data at the end of the intervention period were used.
Dealing with missing data
All feasible available results were included. Authors were only contacted for missing data where clarifications were required. However, no data obtained from authors was used in the guideline. Only published data were extracted to use in analysis. All available data were converted where possible (for example, when data were reported as standard errors) using the calculator incorporated into Review Manager. If results were only presented graphically, we estimated the mean scores and SDs from graphs if it was reasonable to do so.
Assessment of heterogeneity
Data were pooled in a meta-analysis if there were two or more studies, there was clinical homogeneity (studies with similar interventions, participants and outcomes) and not excessive statistical heterogeneity (see the above details of data extraction for synthesis).