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Based on this feature matrix we constructed a method that possesses all desired characteristics displayed in the table and eventually implemented a prototype using the scripting language PHP and a Microsoft© SQL Server as database to prove the technical feasibility of this new method.
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Salient case-patient clinical characteristics are displayed in the Table.
The associations between the mRNA levels of TGFB1, TGFB2, TGFB3, TGFBR1 and TGFBR2 and the tumour characteristics displayed in Table 1 were evaluated using Wilcoxon rank-sum test and Kruskal-Wallis test.
Statistical significance was accepted at p<0.05, though when interpreting the multiple comparisons of cohort characteristics displayed in Table 1 a value of p<0.0028 should be used (Bonferroni correction).
A flow diagram of studies included in the analysis is detailed in Fig. 1, with characteristics displayed in Table 1[ 31– 73] grouped by geographical region.
Baseline characteristics (displayed in Table 1) were collected following recruitment of participants.
Respondent characteristics are displayed in Table 3 for the sample that completed at least the first conjoint analysis (n = 69).
Respondent characteristics are displayed in Table 2 for the sample that completed all four surveys (N = 54).
All demographical, clinical and therapy characteristics are displayed in Table 4, all histopathological characteristics for primary tumours are displayed in Table 5.
The baseline characteristics are displayed in table 1, which shows that the anti-TNF cohort was younger and comprised proportionally more women.
None of the clinical characteristics as displayed in Table 1, such as duration of leg pain before surgery or the extension of DH beyond the posterior ligament, were significantly correlated with any of the MMP-1 or MMP-3 levels.
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