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Exact(6)
In the multivariate analysis, treatment allocation was an independent prognostic factor for survival.
In multivariate analysis, treatment with VKA was the most important variable explaining variation in dp-ucMGP levels even when adjusting for all other significant variables.
Furthermore, in the multivariate analysis treatment with surgery, radiotherapy or a combination of both was not related to increased DSM (Table 4A).
In the multivariate analysis, treatment allocation was a favorable independent prognostic factor for OS (P = 0.001) and survival after metastasis (P = 0.009).
On multivariate analysis, treatment before 2000 (P = 0.02) and older age (36 years and older) (P < 0.01) was associated with a worse FFSM, with a trend toward worse FFSM for females (P = 0.08) (Table 3).
On multivariate analysis, treatment with 5-FU/FA was associated with worse RFS (P=0.043), but this effect was found to be limited to the subgroup of patients with rectal cancer.
Similar(54)
To adjust for variables that were less frequently incorporated into staging systems but may also have a prognostic impact on survival, we analysed all staging systems along with these variables in the multivariate analysis, including treatment regimens, age, gender, serum HBsAg, serum antibody against HCV, Karnofsky performance scale, and the presence of prior treatment for localised disease.
As, however, revealed by multivariate analysis, antibiotic treatment has no influence on MRSA colonization in case of humans exposed to MRSA colonized pigs.
When conducting a multivariate analysis, withdrawing treatment was associated with higher burnout levels.
In the multivariate analysis only treatment intent and stage were significant covariates, again consistent with existing data sets.
Multivariate analysis for treatment failure preventing PFS were similar for both cohorts (HR 0.97, 95% CI, 0.81 1.51, p=0.70, Table 2).
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