Table 3.
Quality assessment of included studies according to the quality in prognosis studies (QUIPS) tool
| Median quality score (range) | Maximum score | |
|---|---|---|
| Study participation | 9.5 (2–10) | 10 |
| Population described for key characteristics | 2 | 2 |
| Sampling and recruitment described | 2 | 2 |
| Inclusion/exclusion criteria described | 2 | 2 |
| Adequate participation | 2 | 2 |
| Baseline study sample described | 2 | 2 |
| Prognostic factor measurement | 8 (5–10) | 12 |
| Prognostic factors are clearly described or defined | 1.5 | 2 |
| Continuous variables reported, or appropriate cut-off points used | 1.5 | 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 | 6 (5,6) | 6 |
| Definition of the outcome described | 2 | 2 |
| Outcome measure and method are valid and reliable | 2 | 2 |
| Same method and setting of measurement for all study participants | 2 | 2 |
| Confounding factor measurement | 8 (1–12) | 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 | 1.5 | 2 |
| Appropriate methods used for missing confounder data | 0 | 2 |
| Important confounders accounted for in the study design | 1.5 | 2 |
| Important confounders accounted for in the analysis | 1 | 2 |
| Analysis | 6 (3–8) | 8 |
| Sufficient presentation of data to assess the adequacy of the analysis | 1.5 | 2 |
| Strategy for model building appropriate and based on a conceptual model | 1.5 | 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 | 38 (16–45) | 50 |