Skip to main content
. 2023 Sep 9;9(9):e19987. doi: 10.1016/j.heliyon.2023.e19987

Table 2.

Risk of bias assessment.

Author; Year Bias due to confounding Bias in selection of participants into the study Bias in classification of exposure Bias due to departures from intended exposures Bias due to missing data Bias in measurement of outcomes Bias in selection of the reported result Overall bias
Jonathan Sinclair et al. (2022) L L H L L L L FAIR
Rachel Kimble et al. (2021) L L L L L L L GOOD
Rachel Kimble et al. (2021) (Cardiometabolic) L L L L L L L GOOD
Terun Desai et al. (2020) U L H H L L L POOR
Lisa K. Stamp et al. (2020) U U U U L L U POOR
Sarah A. Johnson et al. (2020) L L L L L L L GOOD
Quinlan et al. (2020) U L H U L L U POOR
Keith R Martin et al. (2019) L L L L L L L GOOD
Zainie Aboo Bakkar et al. (2019) L L L L L L L GOOD
Meghan A. Brown et al. (2019) L L L L L L L GOOD
Sheau C. Chai et al. (2019) L L L L L L L GOOD
Rebecca Lear et al. (2019) U L L L H L L POOR
Terun Desai et al. (2018) U L H H L L L POOR
Sheau C. Chai et al. (2018) L L L L L L L GOOD
Sarah R. Jackman et al. (2018) U L L L L L L FAIR
Phillip G. Bell et al. (2016) U L L L L L L POOR
Kyle Levers et al. (2016) U L L L L L L FAIR
Kyle Levers et al. (2015) U L L L L L L FAIR
Anthony Lynn et al. (2014) U L H H L L H POOR
Anthony Lynn et al. (2013) U L H H L L H POOR
A. E. Sleigh et al. (2012) U L L L L L L FAIR

All parameters were assessed for their risk by using a scale that classifies them as low, moderate, serious, or critical.

Abbreviations: L, Low; H, High; U, Unclear.