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. 2023 Oct 24;2023(10):CD014967. doi: 10.1002/14651858.CD014967.pub2

Risk of bias for analysis 1.3 Mortality before hospital discharge.

Study Bias
Randomisation process Deviations from intended interventions Missing outcome data Measurement of the outcome Selection of the reported results Overall
Authors' judgement Support for judgement Authors' judgement Support for judgement Authors' judgement Support for judgement Authors' judgement Support for judgement Authors' judgement Support for judgement Authors' judgement Support for judgement
Sharpe 2020 Low risk of bias Allocation concealed, sequence generation random and baseline characteristics does not reveal any imbalance between the two groups. Low risk of bias Though the personnel were aware of the intervention allocation, but there seems to be no deviations that arouse outside the trial context. Also all patients analysed as randomised. Low risk of bias Though there was missing data analysis methods that correct for bias such as sensitivity analyses showing that results are little changed under a range of plausible assumptions about the relationship between missingness in the outcome and its true value was performed Low risk of bias Being an objective outcome, it is unlikely that assessment of the outcome would be influenced by knowledge of allocation group Low risk of bias Trial analysed as per a priori registered protocol. Low risk of bias Low risk across all domains