However, when both the pN and rN classification were combined in the model at the same time, rN classification was highly significant (RFS: P < 0.001; OS: P < 0.001), while pN classification was not a significant factor.
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Vaccination induced a highly significant (p<0.001) difference in antibodies, with 95% of participants in the NY-ESO-1/ISCOMATRIX group demonstrating antibody responses by day 71 vs 7% in the control group ( figure 3 and online supplementary table S4 ).
Finally, the visual model confirmed that the degradation mode had a highly significant impact on both metrics ( p < 0.001), with reading ability also serving as a significant predictor for peak activation ( p < 0.001) and cluster size ( p = 0.008).
All correlations were highly significant (p < 001).
Additionally, a highly significant difference was noted in YOE ( P < 0.001).
The isolation-by-distance analysis also supported a genetic gradient by showing a highly significant correlation between geographic and log-transformed genetic distances (number of permutations = 9999, r = 0.296, p < 0.001). 3.5.
Equally, BMI and age had a highly significant impact on pain at rest (in each case p < 0.001).
Highly significant associations ( p < 0.001) were found for the terrain inclination and magnitude of L R , M c , M L 1 , and HR.
Results Multivariate analysis indicated that an elevated TSH level was a highly significant predictor for 30-day survival (HR = 0.743, 95% CI: 0.629–0.878, P < 0.001) and 90-day survival (HR = 0.807, 95% CI: 0.717–0.909, P < 0.001).
The variations among genotypes and the growth response to supplied N, i.e., the interaction between N supply and genotypes were also highly significant ( p < 0.001) in shoot dry matter, shoot N uptake, shoot N concentration, total leaf area, photosynthesis and leaf nitrate reductase (NRA) activity ( Table 1 , Figure 1 and Figure 2 ) The variation among genotypes was usually significant, but smaller at low than high N condition.
Significance levels are denoted as * p < 0.05 (significant), ** p < 0.01 (highly significant), *** p < 0.001 (extremely significant). 3.
The determination coefficient of model IV, to which subjective-evaluative prosthesis-related regressors were added, again was highly significant [ F (5,153) = 14.713, p < 0.001], with visual realism, mobility , and residual limb stimulation being significant regressors.
There was a highly significant correlation of the BI upon admission with the BI at discharge (r s = 0.492, p < 0.001).
3.3.2 Reline Bond Strength The random‐effects synthesis of all 115 comparisons (Figure 4 ) demonstrated a large and highly significant reduction in reline‐to‐base bond strength for AM denture bases compared with SM ones (pooled SMD = –2.603, 95% CI –3.186 to –2.020; p < 0.001; τ 2 = 9.53; I 2 = 96.5%), meaning that AM bases consistently showed lower adhesion values than SM bases.
With the development of cervical lesions, a decreasing trend in the prevalence of multiple infections was found from LSIL (38.72%) to HSIL (33.49%) to ICC (22.52%) ( p < 0.001; Table 3 ).
Repeatability of AOC measures was tested on 62 samples that were assayed in duplicate, and was found to be large and highly significant (R = 0.65, z = 4.29, P<0.001).
Control on regression to the mean A highly significant (p < 0.001) regression occurred between the raw difference values in VAS-scores of pain intensity between, for example the last measurement (LM) and baseline, and the baseline values (r = 0.60, n = 118) of the various patients.
When dividing the ADMA levels into quartiles there was a significant trend for having AF with increasing levels of ADMA (P < 0.001) with a cut-off at the 25th percentile (< 0.54 μmol/L), giving an adjusted OR for having AF of 12.46 (95% CI 3.11 - 49.86) (P < 0.001) with higher levels.
The reduction in ED achieved with the dose reduction protocol was highly significant ( P < 0.001, 95% CI 0.82–1.32).
AMOVA revealed highly significant ( P < 0.001) but low level of genetic differentiation (F ST = 0.04) between the wild and cultivated populations.
The results showed that the Kaiser–Meyer–Olkin value was always above 0.50, that Bartlett’s test of sphericity was highly significant ( p < 0.001) and that the amount of variance explained by the single factor was always substantial, ranging from 36% to 62%.
However, chi-square analysis revealed highly significant regional disparities in the proportion of claims routed to verified centers ( p <.001 for all regions).
Results There was a statistically very highly significant increase ( p <0.001) in serum TSLP levels among the case group (1042.7±812.93) compared to the control group (314.21±220.78).
However, only hCRTAC1-A and dlCrtac1a caused a highly significant enhancement ( p < 0.001 and p < 0.005, respectively) in scratch recovery compared to the control cells ( Figure 1 B). 2.3.
Almost all the differences between admission and discharge shown in Table 2 (last column) were highly significant ( P <.001).