“highly significant”

We observed a highly significant difference between satisfaction with different components of care (Q1–Q5; F = 1803.4, df = 1, P < 0.001), but no difference between patients and partners ( F = 0.26, df = 1, P = 0.62) and no interaction ( F = 0.08, df = 1, P = 0.78).

This showed a highly significant correlation between genes’ expression levels, which were determined by the two methods (Pearson R = 0.913, p < 0.001; Figure S2 ).

The same pattern was found in EVTs ( Figure 1 D–F) and foetal endothelial cells ( Figure 1 G–I), where statistical analysis proved the downregulation to be highly significant ( p < 0.001). 2.2.

Results All 199 SLE risk single‐nucleotide polymorphisms had highly significant differences in frequencies across Peruvian and other continental populations ( P values <0.001).

The pooled effect size verified that antioxidant supplementation exerts a highly significant, positive impact on increasing the number of high-quality embryos retrieved [MD = 1.08 (95%CI: 0.69–1.47), P < 0.001] ( Table 3 ; Figure 3C ). 3.4.4 Live birth Only 3 studies reported live birth rates.

All anthropometric, water-compartment, mineral and lean-mass differences were highly significant ( p < 0.001), whereas ECW/TBW did not differ materially.

The overall model was highly significant ( F 23,48 = 2548.420, p < 0.001, R 2 = 0.999).

While no significant main effect of group was found for metacarpal diameter ( P > 0.05), a highly significant time × group interaction was detected ( P < 0.001), indicating that boron supplementation modulated the developmental trajectory of the skeleton.

Reproducibility of the assessments was statistically highly significant (intraclass correlation coefficient 0.921, p < 0.001).

A highly significant linear trend was found for reading non-evidence-based treatments (linear-by-linear association: χ 2 = 46.131, p < 0.001).

To further solidify the molecular signatures of the subgroups 1–4, we performed RNA-based single-sample GSEA, which demonstrated robust and highly significant enrichment of the gene sets “stemness”, “synapse assembly”, “gonadotrophs” and “secretory vesicle”, respectively ( p < 0.001; Fig. 2d and Supplementary Data 5a–d ).

Statistical analysis revealed highly significant differences between HAM10000 and all other domains ( p < 0.001 ), with large effect sizes (Cohen’s d > 1.4 ) indicating substantial practical significance.

However, a highly significant difference was observed regarding the use of additional mood stabilizers (p < 0.001).

Statistically significant changes were classified as significant (*) where p < 0.05, more significant (**) where p < 0.01 and highly significant (***) where p < 0.001 as compared with control group.

At the between-person level, the standardized correlations between husband and wife random intercepts were uniformly large and highly significant (CHARLS ρ = 0.523; ELSA ρ = 0.416; HRS ρ = 0.305; all p < 0.001).

An analysis of correlation between genotype-determined activity score and log metabolic ratio of urinary dextromethorphan to dextrorphan proved to be highly significant (Spearman correlation coefficient = −0.683; P < .001) (eAppendix and eFigure 4 in the Supplement ).

The between-group difference was highly significant (Mann–Whitney U test: z = −3.479, P < 0.001), demonstrating the superior efficacy of MBCT in reducing NSSI severity and supporting its clinical utility as an evidence-based intervention ( Table 4 ).

Two-way ANOVA revealed a highly significant main effect of treatment (F(3,32) = 645.12, p < 0.001) and a smaller but significant effect of timepoint (F(1,32) = 49.68, p < 0.001).

There was a highly significant difference in the mean net setting time between the groups ( p < 0.001).

The degree of basal cell degeneration observed in OLP cases and the density of chronic inflammatory cell infiltration was compared with the concentration of CD1a-positive LCs in OLP using Wilcoxon signed-rank test and found to be highly significant at P =0.001 and 0.002, respectively [ Figure 6 ].

Regarding the clinical utility of the proposed biomarker, it is important to note that while the differences between the HC and MCI groups were highly significant ( p < 0.001 ), the observed effect size (Cohen’s d = -0.2245) is relatively small.

Complications were highly significant (p = 0.001), as all successes had no complications, whereas failures included nerve damage, implant fracture, and prostheses failure.

There is a highly significant positive correlation between MBC and organic P ( r = 0.918, p < 0.001), and a strong correlation between soluble C and organic P ( r = 0.905, p < 0.001).

Moreover, the linear time × group interaction was highly significant ( p < 0.001).

The overall F ST across all loci was 0.064 and was highly significant ( P < 0.001).