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. 2016 May 4;17:198. doi: 10.1186/s12891-016-1048-1

Table 6.

Checklist used for the assessment of the methodological quality of the included studies

Theoretical background Used for selection bias
1. Is there a theoretical background for the hypothesis?
Study participation
2. Is the study population clearly described in terms of age, gender, and important patients’ characteristics? Used for selection bias
3. Is the percentage of eligible subjects who participated in the study (response rate) adequate? (More than 30 % is considered inappropriate) Used for selection bias
Sampling
4. Are patients who participated in the study similar to eligible non-participants (the population), in terms of age, gender, and important disease characteristics? Used for selection bias
Study attrition
5. Is the percentage of subjects available for analysis adequate? (<30 % not too many missing values or loss to follow-up)? Used for selection bias
6. Were reasons for loss to follow-up presented and assessed during the study for possible systematic attrition? (Subjects that did not finish the study) Used for selection bias
Outcome measurement
Definition of outcome variable(s) Used for information bias
7. Are clear definitions of each outcome variable provided?
8. Is clear operationalization of each outcome variable provided? How is it measured? Used for information bias
Measurement of outcome variable(s) Used for information bias
9. Are the measurement instruments used for the measurement of the outcome variable(s) reliable and valid?
Method and setting of the outcome variable(s) Used for information bias
10. Were the measurement approach, time and place of measurement of the outcome variable(s) standardized or conducted in a way that limits systematically different measurement?
Study confounding
Definition of potential confounders Used for information bias
11. Are clear definitions of each confounder provided?
12. Is clear operationalization of each confounder provided? Used for information bias
Measurement of potential confounders Used for information bias
13.Are the measurement instruments used for the measurement of the confounder(s) reliable and valid?
Method and setting of the confounder(s) Used for information bias
14. Were the measurement approach, time and place of measurement of the confounder(s) standardized or conducted in a way that limits systematically different measurement?
Statistical analyses
15. Is the percentage of missing values adequate? Less < 30 % Used for statistical analysis bias
16. Were multivariable analyses performed? Yes is rated as “0” if yes Used for statistical analysis bias
17. Was it clearly described which variables were included in the (multivariable) model(s)? Used for statistical analysis bias

Based on Hayden and Shamliyan, and used by Tibury [18, 20]