Sentence examples for prognostic measurement from inspiring English sources

Aim: Identify other options of prognostic evaluation based upon clinical aspects and minimal electrical stimulation test allowing prognostic measurement in almost any circumstances.

Validation of existing and new biomarkers in this respect is therefore very important in more than just one study before these markers can be used as an additional prognostic measurement in daily practice.

At the other end of the scale is the challenge of benefiting from the prognostic measurement of 'activated most' (most immediately activated ERK1/2 and ERK5) levels in breast cancer.

Therefore, many clinicians and researchers have suggested alternative prognostic measurements and markers such as derivatives of PSA kinetics, other imaging modalities, or novel tumor biomarkers to supplement or fully replace PSA and better predict PC prognosis and progression [ 13].

Four studies showed a low risk of bias for each of the five domains of the QUIPS tool considered, namely inclusion, attrition, prognostic factor measurement, outcome measurement, and analysis and reporting.

> -wrap-foot> Of the 31 included studies, 5.7% of the domains, that is, inclusion, attrition, prognostic factor measurement, outcome measurement, confounding, and analysis and reporting as assessed with the QUIPS tool, showed a high risk of bias, 26.1% showed a moderate risk, and 68.2% showed a low risk of bias (Supplementary Appendix 1).

In total, in the 20 included studies, 5.1% of domains, i.e., inclusion, attrition, prognostic factor measurement, outcome measurement, and analysis and reporting as assessed with the QUIPS tool showed a high risk of bias, 25.5% of domains showed a moderate risk of bias, and 69.4% of domains showed a low risk of bias (full QUIPS appraisal forms for each study are available upon request).

The following criteria were assessed: (1) representation of sample; (2) study attrition; (3) prognostic factor measurement; (4) outcome measurement; (5) confounding measurement and account; and, (6) appropriateness of statistical analysis.

Study quality was evaluated using the Quality in Prognosis Studies (QUIPS) tool, which considers six potential domains of bias: inclusion, attrition, prognostic factor measurement, confounders, outcome measurement, and analysis and reporting [ 18].

This assessment included evaluations of the following six items: study participation, study attrition, prognostic factor measurements, confounding measurements and relevant adjustments, outcome measurements, and analysis.

Study quality was evaluated using the Quality in Prognosis Studies (QUIPS) tool, which considers the following 6 domains of bias: participation, attrition, prognostic factor measurement (SVR-attainment), outcome measurement (all-cause mortality), confounding, and analysis and reporting [ 22].