#12 Risk of bias in individual studies - Describe methods used for assessing risk of bias of individual studies (including specification of whether this was done at the study or outcome level), and how this information is to be used in any data synthesis.
#15 Risk of bias across studies - Specify any assessment of risk of bias that may affect the cumulative evidence (e.g., publication bias, selective reporting within studies).
#18 Study Characteristics - For each study, present characteristics for which data were extracted (e.g., study size, PICOS, follow-up period) and provide the citations.
#19 Risk of bias within studies - Present data on risk of bias of each study and, if available, any outcome level assessment (see item 12).
#22 Risk of bias across studies - Present results of any assessment of risk of bias across studies (see Item 15).
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Fontanesi, J., Mendoza, S., Bowers, D., & Reznik, V. (2009). Translating operational research to the medical community: Using "guiding measurements" to improve the quality of healthcare delivery.The Journal of Medical Practice Management : MPM, 24(4), 248-253.
Horlocker, T. T., Neal, J. M., & Rathmell, J. P. (2011). Practice advisories by the american society of regional anesthesia and pain medicine: Grading theevidence and making the grade.Regional Anesthesia and Pain Medicine, 36(1), 1-3. doi:10.1097/AAP.0b013e318203083b