“highly significant”

The significance level was defined as follows: p ≥ 0.05 not significant, p < 0.05 significant, p < 0.01 highly significant and p < 0.001 most highly significant.

The individual paired mean reduction in A1C compared with baseline of −0.99% was highly significant ( P <0.001).

When the median disaster nursing practice skill scores of the students in the first and repeated SPS were compared, it was determined that the median score of the repeated SPS was higher than the median score of the first SPS and the difference between them was statistically highly significant (Z = 5.780, p < 0.001) (Table 1 , Graph 1 ).

The between-treatment difference (HCTZ vs placebo) at day 5 was highly significant ( p < .001).

Discussion In this study, a novel fibrosis score named HB-F was formulated, by combination of four factors which was highly significant in the association with ISHAK fibrosis stages (P < 0.001).

Combining these SNPs in miR-499, mi146a, miR-196a and miR-126 respectively into allele haplotypes found highly significant odds ratios (95% CI) of 0.40 (0.29–0.54) ( p < 0.001) for the C-G-C-G haplotype, and 0.46 (0.30–0.70) ( p = 0.002) for the C-C-C-A haplotype ( p = 0.002) for PCOS.

The model was still highly significant; β =0.81, P =0.001 for suicidality (patients vs controls).

1.643 ± 1.5685; P = 0.106, respectively), and the duration of postoperative analgesia was highly significant ( P < 0.001) in Group T (724.00 ± 103.2914 min) as compared to Group S (256.643 ± 73.4218 min).

This increase was highly significant ( P < 0.001), on the anterolateral and the anteromedial side of the injured knee.

Disease status significantly correlated with iron status in patients with solid tumors ( P < 0.001), but not in hematological malignancies ( P = 0.172) whereas highly significant correlations between disease status and anemia could be observed in both solid tumor and hematological malignancy patients ( P < 0.001 and P < 0.001, respectively).

Critically, the Category by SF scale was highly significant (F(2,28) = 9.48, MSE = 1.23, p <.001), implying a differential usage of SF information for the categorization of cars and airplanes in experts.

Our results were consistent with a highly significant model ( Figure 3 ) (Boyce Index = 0.99; P<0.001) [27] .

However, help-seeking behavior was highly significant ( P <.001), with a rate ratio of 0.82 (0.73, 0.92), indicating that each 1-unit increase in help-seeking score at baseline was associated with an 18% decrease in the expected number of study content clicks.

Spearman rank test indicated a slight but monotonous and highly significant correlation between ISUP grade and SUVmax ( R = 0.37, p < 0.001, Supplementary Fig. 8 ).

Moreover, further spearman correlation analysis indicated highly significant correlations between HSP90α and IL-1β ( P < 0.001, r = 0.400), IL-18 ( P = 0.01, r = 0.326), and MIP-3α ( P < 0.001, r = 0.452), except for ENA-78 ( P = 0.059) ( Fig. 8 ).

The regression models show strong effect sizes with high R-squared values (0.787 for neck stress, 0.927 for fatigue and shoulder pain) and highly significant F-statistics ( P < 0.001).

When cases primarily attributed to zinc overload were excluded, this correlation remained highly significant (Pearson correlation coefficient −0.564, 36 cases, 2-tailed p < 0.001).

The first split was caused by chronic obstructive pulmonary disease (COPD), which has a highly significant (p < 0.001) impact on the medication costs.

The difference between the 2 groups was highly significant ( P < .001), as shown in Table 3 .

Consequently, the influence of sex became highly significant ( p < 0.001 for TDC and p < 0.01 for R), and the influence of hypoxia remained significant ( p < 0.01 for TDC and p < 0.05 for R) due to the significant differences between hypobaric and control females, but not males.

For TyG-BMI, the nonlinear relationship with all-cause mortality was highly significant (nonlinear P < .001), with a marked increase in mortality risk when TyG-BMI exceeded 215.145 (HR = 1.00, P = .031).

Statistical analysis demonstrated highly significant differences for both parameters, with f-values of 169.91 and 170.64 for TSH and FREE T4, respectively, and p -values < 0.001.

This observation is empirically backed by a corresponding, highly significant ( p < 0.001) ANOVA analyses.

IMPA also proved to be highly significant, with a greater value in Class II subjects compared to those in Classes I and III ( p < 0.001). ** p < 0.01; * p < 0.05.

Differences were considered statistically significant at p < 0.05 and highly significant at p < 0.001.