Sentence examples for multivariate prognostic markers from inspiring English sources

Following an in-depth PubMed search, 28 markers were selected that have been proposed as multivariate prognostic markers for primary prostate cancer.

Cox regression models were calculated for multivariate analysis including classical prognostic markers.

A prognostic signature partly characterized by hypoxia-related genes was identified among 89 genetically complex pleomorphic primary STS and could, in a multivariate analysis including established prognostic markers, independently predict the risk of metastasis with a hazard ratio of 2.2 (P = 0.04).

It should be noted that a previous reported analysis of clinical data indicates that patients with elevated P-REX1 levels in breast tumors had a shorter disease-free survival, and a multivariate analysis for known prognostic markers in breast cancer showed that P-REX1 is an independent marker [ 25].

Univariate analysis (relative risk 7.4; 95% confidence interval (CI) 5.2 10.2; P<0.0001 for progression; relative risk 7.1; 95% CI 4.7 10.9; P<0.0001 for survival), as well as multivariate analysis with other prognostic markers resulted in MT overexpression as a highly significant and independent factor for prognosis in primary melanoma.

Independent prognostic markers in multivariate analysis were: low serum albumin (HR = 11.1), poor performance status (HR = 3.8), ≥5 CTC/7.5 ml (HR = 3.8) and triple negative subtype (HER2+ and hormone positive vs triple negative: both HR = 0.2).

Significantly, multivariate analysis confirmed both as prognostic markers.

Serum markers have been also prospectively assessed [ 7] and were not prognostic markers in multivariate analysis.

It was found to have independent prognostic significance when compared with traditional prognostic markers by multivariate analysis in many types of cancer.

Women with high BMI had significantly better prognosis in univariate analysis of DSS, an effect that disappeared in multivariate analysis adjusting for established prognostic markers.

Interaction between CatS and treatment status was significant for RFS (P=0.02) and OS (P=0.04) in a multivariate model adjusted for known prognostic markers.