#10 Data Collection Process - Describe method of data extraction from reports (e.g., piloted forms, independently, in duplicate) and any processes for obtaining and confirming data from investigators.
#11 Data items - List and define all variables for which data were sought (e.g., PICOS, funding sources) and any assumptions and simplifications made.
#13 Summary Measures - State the principal summary measures (e.g., risk ratio, difference in means).
#14 Synthesis of Results - Describe the methods of handling data and combining results of studies, if done, including measures of consistency (e.g., I^{2}) for each meta-analysis.
#16 Additional Analysis - Describe methods of additional analyses (e.g., sensitivity or subgroup analyses, meta-regression), if done, indicating which were pre-specified.
#20 Results of Individual Studies - For all outcomes considered (benefits or harms), present, for each study: (a) simple summary data for each intervention group (b) effect estimates and confidence intervals, ideally with a forest plot.
#21 Synthesis of Results - Present results of each meta-analysis done, including confidence intervals and measures of consistency.
#23 Additional Analysis - Give results of additional analyses, if done (e.g., sensitivity or subgroup analyses, meta-regression [see Item 16]).
The statistician and the lead content expert will be the primary members involved in analyzing the data from the studies and testing the original research hypothesis.