Sentence examples for multivariate analysis grade from inspiring English sources

By multivariate analysis, grade, stage, cell type, metastasis, and IFNAR2 were independent prognostic factors (Table 2).

If age was excluded from the multivariate analysis, grade became independently important.

In multivariate analysis, grade (P=0.001) and survivin (P=0.005) were independent prognostic factors, grade III and presence of survivin relating to shorter survival.

In multivariate analysis, grade using Ki-67, but not MC, was a significant prognostic factor in determining overall survival (hazard ratios: midgut G2 2.34, G3 15.1, pancreas G2 2.08, G3 11.3).

On multivariate analysis, grade of tumour (P<0.001), ratio of positive nodes (P=0.005), adjuvant radiation (P<0.001), and marital status (P<0.01) were independent factors associated with DSS whereas location of the positive nodes, number of positive nodes, and number of nodes examined were not significant (Table 4).

Within multivariate analysis, grades 3 4 oral mucositis, grades 1 2 nausea/vomiting and grades 1 2 thrombocytopenia were associated with improved survival.

Tumour grade was not included in multivariate analysis, as grade, in most UK centres, is not routinely assessed on diagnostic core specimens because of concerns regarding possible tumour heterogeneity and sampling error.

On univariate analysis, histologic grade (P=0.0001) and Karnofsky performance status (P=0.036) had a significant impact on survival, and on multivariate analysis, histologic grade alone was a significant prognostic factor for survival (P=0.001).

This is the main reason why we planned to identify prognostic index based on PFS-related genes in 110 advanced-stage serous ovarian cancers and then evaluate the significance of the prognostic index using multivariate analysis including grade, stage, and status of debulking surgery.

In cohort 2, independent prognostic markers selected by multivariate analysis included grade, M substage and HistologyEMT.

In multivariate analysis, nuclear grade (P<0.01), age <50 (P=0.03), and tau-negative status (P=0.04) were independent predictors of pCR.