However, the difference in severe ADEs in the FQ vs non-FQ group did not reach statistical significance; however, the overall rate of nonsevere ADEs in FQ compared with non-FQ regimens was 43.3% vs 6.1% ( P < .001).
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Temporal analysis of genome size (2000–2025) revealed an overall positive correlation (ρ = 0.17, p < 0.001, n = 1,067), with complete genomes showing stronger correlation (ρ = 0.223, p < 0.001, n = 45) while contig-level assemblies exhibited a negative trend (ρ = −0.214, p < 0.001, n = 776), likely reflecting assembly fragmentation artifacts.
During the remainder of 2020, there was a significant trend towards an increase in the number of visits per month (coeff = 9.44 [4.52; 14.35]; p < 0.001).
Under rainfed conditions, GCA m /sets, GCA f /sets and SCA/sets mean squares were highly significant ( P < 0.001) for all traits except GCA f /sets for BHC, and SCA/sets for HSL, HSW, BHC, and tassel branch length (TBL) ( Table 2 ).
Weight, BMI, and %TWL The weight and BMI mean ± SD showed highly significant differences with time from preoperative value till 24 months postoperative by repeated measure ANOVA ( p < 0.001) with highly significant differences, and positive correlation within each pair of successive readings by paired t test till 24 months postoperative (71.5 ± 10.8 kg and 25.6 ± 3.4 kg/m 2 at 24 months respectively) (Tables 3 and 4 ).
Results The width increases were highly significant, both in the overall and in the individual groups ( p < 0.001).
The noted difference was statistically highly significant ( P <0.001).
A highly significant association was observed between the type of sport and anatomical site of injury (χ2 = 712.59, P < 0.001).
Highly significant correlations were found between serum levels of C3 and C4 to drug retention time ( P < .001, Fig. 1 ).
2 D ) both show highly significant ( F 1,9 = 22.88, r 2 = 0.72, P = 0.001 and F 1,9 = 29.1, r 2 = 0.76, P = 0.0004, respectively) linear decreases as a function of time awake peaking around −20% and −15%, respectively.
The decline was sustained for 6 months, with a decreasing trend of 69.98 cases per week ( p < 0.001).
This analysis revealed an overall highly significant effect of Measurement ( F (1, 45) = 26.04; p < 0.001).
Regarding the duration of mechanical ventilation as an outcome, patients with VAP had a mean of 12.16 days (SD: 4.64) and a median of 10.50 days (IQR: 9.00-16.00), while non-VAP patients had a mean of 4.88 days (SD: 1.37) and a median of 5.00 days (IQR: 4.00-6.00); this difference was highly significant (p < 0.001).
In contrast, the difference between offside ( M = 79.1%) and the non-offside position ( M = 63.7%) judgment was highly significant in boys, t (19) = – 4.65, p < 0.001 (7 years p = 0.034; 9 years p = 0.003).
This effect was most pronounced in the age group of 0-39 years, where the decrease was highly significant ( P < 0.001).
We found a highly significant and moderate positive relationship between the two ( r = .46, 95% CI [0.34, 0.56], t (207) = 7.36, p < .001; Fig. 3b ).
The reduction in risk of developing GH among the subjects of study group compared to control group was quite significant (RR 2.65; CI 1.42–4.95; p < 0.001).
Two-way ANOVA revealed a highly significant effect of cell line on uptake for both the nanoparticle p < 0.001, η 2 = 0.919 and antibody ( p < 0.001, η 2 = 0.933) constructs, confirming that uptake was substantially and consistently higher in SKBR-3 cells than in MDA-MB-231 cells.
Results The orientation of fragments had highly significant effects on their survival ( Table 1 ) and final size (MANOVA: Wilk's λ = 0.36; F = 3.24; P <0.001).
There was not only no deterioration in the initial mean sagittal canine relationships (mean 3.5 mm deviation at T0), but instead a highly significant ( p < 0.001) reduction to a mean 0.1 mm at T3 (Tables 3 and 4 ).
A highly significant difference was present if p ≤0.001.
However, the main effect of loading site was highly significant (F = 382.191, P < .001), which may be attributed to differences in stress distribution at different loading sites.
Results Effect of salinity stress on seedling growth and biomass Salinity stress exerted a significant effect on seedling growth and biomass accumulation in lentil, with ANOVA revealing highly significant ( p ≤ 0.001) effects of genotype, salinity and their interaction across the traits under control and salinity conditions ( Table 2 ).
All the correlations were highly significant ( p < 0.001) and demonstrative of very good reliability.
Linear regression analysis indicated a highly significant correlation ( p < 0.001) between root rot severity at the seedling stage and at maturity.