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. 2023 Oct 19;23:1004. doi: 10.1186/s12885-023-11452-7

Table 3.

ROBINS-I analysis to assess the risk of bias in each included study

Bias due to confounding Bias in selection of participants into the study Bias in classification of intervention Bias due to deviations from intended interventions Bias due to missing data Bias in measurement of outcomes Bias in selection of the reported result Overall risk of bias
Ali 2017 2 1 1 1 1 1 2 Moderate
Bowden 2019 2 1 1 1 1 1 2 Moderate
Chang 2010 2 1 1 1 1 1 2 Moderate
Erlich 2019 2 1 1 1 1 1 1 Moderate
Izard 2019 2 1 1 1 1 1 1 Moderate
Kim 2008 2 1 1 1 1 1 1 Moderate
Minniti 2020 2 2 1 1 1 1 1 Moderate
Mizuno 2019 3 1 1 1 1 1 1 Serious
Nakazaki 2013 3 2 1 1 1 1 1 Serious
Raldow 2013 2 1 1 1 1 1 1 Moderate
Rava 2013 2 1 1 1 1 1 1 Moderate
Serizawa 2006 2 1 1 1 1 1 1 Moderate
Susko 2020 2 1 1 1 1 1 1 Moderate
Suzuki 2000 2 1 1 1 1 1 1 Serious
Yamamoto 2021 1 1 1 1 1 1 1 Moderate

0 = no information/unclear, 1=“Low risk”, 2=“Moderate risk”, 3=“Serious risk”, 4=“Critical risk” of bias. The quality of evidence for assessing overall survival in patients with 10 or more BMs is shown in Table 4. The quality of evidence was downgraded to very low as per the GRADE criteria due to limitations in study design and the risk of bias, particularly in the largest studies included for analysis