Table 5.
Assessment of quality score of studies performing a risk prediction analysis in patients submitted to liver resection
Quality score Median (range) | Maximum score | |
---|---|---|
Study participation | 6 (2–9) | 10 |
Population described for key characteristics | 1 | 2 |
Sampling and recruitment described | 2 | 2 |
Inclusion/exclusion criteria described | 1 | 2 |
Adequate participation | 2 | 2 |
Baseline study sample described | 1 | 2 |
Prognostic factor measurement | 9 (4–10) | 12 |
Prognostic factors are clearly described or defined | 2 | 2 |
Continuous variables reported, or appropriate cut-off points used | 1 | 2 |
Prognostic factors are valid and reliable | 2 | 2 |
Study sample has complete data for prognostic factors | 2 | 2 |
Same method and setting of measurement for all study participants | 2 | 2 |
Appropriate methods used for missing prognostic data | 0 | 2 |
Outcome measurement | 4 (0–6) | 6 |
Definition of the outcome described | 2 | 2 |
Outcome measure and method are valid and reliable | 1 | 2 |
Same method and setting of measurement for all study participants | 1 | 2 |
Confounding factor measurement | 8 (4–10) | 14 |
Important confounders are measured | 1 | 2 |
Clear definitions of confounders described | 2 | 2 |
Measurement of all confounders is valid and reliable | 1 | 2 |
Same method and setting of measurement for all study participants | 2 | 2 |
Appropriate methods used for missing confounder data | 0 | 2 |
Important confounders accounted for in the study design | 1 | 2 |
Important confounders accounted for in the analysis | 1 | 2 |
Analysis | 7 (4–8) | 8 |
Sufficient presentation of data to assess the adequacy of the analysis | 1 | 2 |
Strategy for model building appropriate and based on a conceptual model | 2 | 2 |
Adequate selection of model for the design of the study | 2 | 2 |
No selective reporting of results | 2 | 2 |
Median quality score of studies | 34 (24–41) | 50 |