1 |
Bias in selection of participants into the study (see Table 4 for description of biases) |
Could the exposure status (or level) assessed (or assigned) in the study sample not represent exposure in the target population? |
2 |
Bias due to a lack of blinding of study personnel |
Could study personnel have known the exposure status (or level) or other characteristics of study participants and, if yes, could this knowledge have influenced how they conducted the exposure assessment? |
3 |
Bias due to exposure misclassification |
Could the methods used for assessing (or assigning) exposure have over- or under-estimated exposure? |
4 |
Bias due to incomplete exposure data |
Could data on exposure status (or level) be incomplete for eligible participants? |
5 |
Bias due to selective reporting of exposures |
Could relevant exposures or exposure categories be selectively not reported? |
6 |
Bias due to conflict of interest |
Could the study and/or one or more study authors have received support from entities with potential interests in the exposure assessed (or assigned)? |
7 |
Bias due to differences in numerator and denominator |
Could the definition and/or counting of persons contributing to the numerator differ from those contributing to the denominator in the ratio used to estimate prevalence? |
8 |
Other bias |
Could the study have other problems that could have introduced bias? |