Table 2.
Internal validity of included studies
| Study | Prospective design | Multicenter enrollment | Selection bias | Performance bias | Attrition bias | Detection bias | Multivariate adjustment for potential confounders |
|---|---|---|---|---|---|---|---|
| Schiess 2021 [102] | Yes | No | D | B | A | D | Probably adequate |
| Venkataramana 2012 [103] | Yes | No | D | B | C | A | Probably adequate |
| Boika 2020 [104] | Yes | No | D | B | A | D | Probably adequate |
| Storch 2012 [105] | No | Yes | D | D | C | D | Not reported |
| Brazzini 2010 [106] | No | No | D | B | A | C | Not reported |
| Madrazo 2019 [107] | Yes | No | D | B | A | D | Probably adequate |
| Lige 2016 [108] | Yes | No | D | B | A | D | Not reported |
| Sinelnyk 2015 [109] | Yes | No | D | B | A | D | Probably adequate |
| Yin 2012 [110] | Yes | No | D | B | A | A | Probably adequate |
| Gross 2011 [111] | Yes | Yes | A | A | A | A | Probably adequate |
| Stover 2005 [112] | Yes | No | D | B | A | D | Probably adequate |
Risk of bias is expressed as A = low, B = moderate, C = high, or D = incomplete reporting