Excerpts

The Kruskal–Wallis test indicated a highly significant difference in plasma PlGF concentrations (P < 0.0001; Figure 2 ) between groups.

In RP ( Table 2 ), upper lip thickness demonstrated a highly significant increase of +1.27 mm ( p < 0.0001), while lower lip thickness increased by +1.18 mm ( p = 0.0408).

A generalized linear model, controlling for demographic and clinical characteristics and regimen, showed a trend toward higher total all‐cause cost PPPM as the number of incident AEs increased (cost ratio [CR] = 1.1, 95% CI 1.1‐1.2, P < .0001; Table S3 ).

CCK-8 assays revealed that cell viability showed an increasing trend at 4 mM MgSO 4 ( p < 0.0001; Figure 6a ).

The difference between the average tumor growth rates in the treated and untreated groups was highly significant ( P <0.0001).

Following stimulation of C3H/HeSn DCs with adjuvant CpG-oligonucleotides, the production of IL-12 was comparable to that achieved following BCG stimulation and was highly significant compared to control cultures ( P <0.0001) ( Figure 6A ).

The differences between leaf and needling parameters among F 1 individuals were all extremely significant ( p < 0.0001).

Results were highly significant between clusters A and B ( p < 0.0001), A and C ( p = 0.0078), and C and B (p < 0.0001).

Linear regression analysis revealed that the relationship between dose and tail moment was linear, over the 0–5 Gy dose range tested, for each of the cell lines, although the amount of DNA damage per unit dose ( Table 1 ) varied by two-fold between the most radioresistant (HT29) and the most radiosensitive (SW48) cell lines; this difference was highly significant ( P <0.0001).

Highly significant differences were found between the mean values in boys and girls ( p < 0.0001).

All group differences were highly significant (p<0.0001).

Analysis of variance (ANOVA) revealed highly significant ( P <0.0001) genetic and environmental effects for tocopherol content and composition.

Supplementary data bmjopen-2023-077508supp001.pdf Regression model The logistic regression model was statistically highly significant (p<0.0001).

The fixation indices showed that genetic differentiation at all the three hierarchical levels were highly significant ( Fst = 0.276, Fct = 0.0969, and Fsc = 0.199, p < 0.0001). 2.2.

A retrospective analysis using this model enabled highly significant differentiation between peptide and non-peptide receptor families (logistic regression; p value < 0.0001).

This difference is highly significant with a p -value < 0.0001.

One-way ANOVA shows a highly significant difference between Fgr, Fyn, Hck and Lyn expression levels relative to Blk (p < 0.0001), while Src, Yes and Lck are not significantly different ( Fig 1A ).

There was a highly significant meal effect on SBWC ( P <0.0001, log-transformed analysis of variance).

Furthermore, the variance analysis (ANOVA) presented in Table 4 disclosed that the quadratic model was exceedingly significant at P < 0.0001 for the estimation of phenolics from JATE.

We found highly significant correlation between USP18 and PTEN expression levels in Mem for all tested subjects ( P < 0.0001, r = 0.9511; n = 30) ( Fig 2B ).

The Q test for heterogeneity was highly significant between studies (p<0.0001), and the I 2 statistic was 99%, indicating high heterogeneity.

Using a multivariable mixed effect model, we report a highly significant increase in TLR5-induced production of IL-8 from monocytes of older individuals ( P < 0.0001).

Between groups analysis (PCOS, T2D and controls) showed a highly significant difference between the groups ( F = 63.43, p < 0.0001).

Highly significant increases of DMG were observed upon intake of both Superba Boost TM ( p < 0.0001) and choline bitartrate ( p < 0.0001), while this was not the case for fish oil ( p = 0.1091), as shown in Figure 4 .

Differences between mean values were analyzed and considered significant when P < 0.05 or considered extremely significant when P < 0.0001 concerning the control values.