Table 2.
Quality assessment.
| Yes | No | |
|---|---|---|
| Describe all statistical methods, including those used to control for confounding | 11 (52.38%) | 10 (47.62%) |
| Describe any methods used to examine subgroups and interactions | 20 (95.24%) | 1 (4.76%) |
| Explain how missing data were addressed | 11 (52.38%) | 10 (47.62%) |
| Consider use of a flow diagram (for missing variables) | 14 (66.67%) | 7 (33.33%) |
| Indicate number of participants with missing data for each variable of interest | 4 (19.05%) | 17 (80.95%) |
| Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their precision (e.g., 95% confidence interval). Make clear which confounders were adjusted for and why they were included | 7 (33.33%) | 14 (66.67%) |
| Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias | 19 (95.24%) | 2 (9.52%) |
| Give the source of funding and the role of the funders for the present study and, if applicable, for the original study on which the present article is based | 20 (95.24%) | 1 (4.76%) |