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. 2020 Jan 7;2020:8736509. doi: 10.1155/2020/8736509

Table 2.

Risk of bias assessment according to ROBINS-I.

Study Bias due to confounding Bias in selection of participants Bias in classification of interventions 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 bias
Aggerholm-Pedersen et al. (2016) Serious Low Low Low Moderate Low Low Serious
Liu et al. (2016) Moderate Low Low Low Serious Low Low Serious
Morhij et al. (2017) Serious Low Low Low Low Low Low Serious
Li YJ et al. (1) (2017) Low Low Low Low Low Low Moderate Moderate
Li YJ et al. (2) (2017) Low Low Low Low Low Low Moderate Moderate
Maretty-Kongstad et al. (2017) Serious Low Low Low Moderate Low Low Serious
Liang et al. (2017) Low Low Low Low Low Low Moderate Moderate
Tsuda et al.(2017) Moderate Low Low Low Moderate Low Moderate Moderate
Jiang et al. (2017) Moderate Low Low Low Low Low Low Moderate
Sasaki et al. (2018) Serious Low Low Low Low Low Serious Serious
Aggerholm-Pedersen et al. (2019) Serious Low Low Low Low Low Low Serious
Xu et al. (2019) Moderate Low Low Low Low Low Low Moderate

ROBINS-I is short for Risk Of Bias In Nonrandomized Studies of Interventions, which contains five levels of bias judgment: low, moderate, serious, critical, and no information.