Excerpts

The difference was still highly significant ( P <0.001) after correction for age, calcium, hemoglobin and albumin in multivariate analysis.

The difference in ciliostasis between the LGD-infected group and the uninfected group was very highly significant (p < 0.001).

We found a significant endophyte effect ( F 1,28 = 5.084, P = 0.032), a highly significant herbivore effect ( F 1,28 = 50.178, P < 0.001) and no significant interaction effect ( F 1,28 = 1.632, P = 0.212) on shoot fresh weight.

Statistical comparisons were conducted with Student's two‐sided t ‐test as * p < 0.05 (statistically significant), ** p < 0.01 (moderately significant), and *** p < 0.001 (highly significant).

In addition, the intervention population showed significant improvements in two of the five investigated SF-36 scales at study end (vitality and mental health) compared to baseline scores, which for vitality was highly significant (p < 0.001).

The differences among severity categories and the outcome group are highly significant ( p -values < 0.001).

Moreover, IFI44L exhibited highly significant positive correlations with both XAF1 and MX1 in SLE patients (r = 0.21, 0.18, all p < 0.001) ( Figure 3 a).

There were highly significant post-program improvements in knowledge as measured by the 25-item Dementia Knowledge Assessment Scale, with an average 30% improvement (p < 0.001, effect size > 1.2).

There was a highly significant mucosal enhancement ( P <0.001) and significant bowel wall dilatation in patients with NE when compared with the second group ( P =0.002).

Gait speed had a moderately significant correlation with JOA score at the final follow-up (r = 0.4, P < 0.001).

There was an overall trend indicating an increased risk of preeclampsia in women with vitamin D deficiency compared to those with sufficient levels, but the findings did not reach statistical significance p -value<0.001 (OR 1.25, 95% CI 0.89–1.76, I 2 = 86.7%;, random-effect).

Compared with the normal control (NC) group, the mice from the HFD group revealed extremely significant differences in Lee’s index ( p < 0.001) from 6 to 12 weeks and extremely significant differences in body weight from 4 to 20 weeks ( p < 0.001), indicating that HFD can rapidly promote the body development of the mice.

Hypertension emerged as the most notable risk factor (OR, 3.0; 95% CI: 2.2-4.1) with a highly significant P<0.001.

Interestingly, the mean overall latency to respond to the correct nose-poke aperture ( Figure 1D ) was highly significant [ F (7, 49) = 4.164, p < 0.001].

The Wilcoxon signed-rank test shows a highly significant difference between participation in each type of activity ( Z = −6.05, p < 0.001).

Of the meteorological variables included, wind speed was highly significant in models of all species and physiological states ( P < 0.001), with reduced catches associated with higher wind speeds.

However, at 28 d, a highly significant reduction in the rate of body weight gain was observed in the CUMS model group compared to the CON group ( p < 0.001).

An Analysis of Covariance on this data revealed a highly significant difference between the three groups, F = 7.19(2, 83), p <.001.

qRT-PCR study revealed highly significant (p<0.001) mRNA expression of PEG10 in OSCC patients cases as compared to matched controls.

* P < 0.05 denotes statistically significant difference compared to control; ** P < 0.01 denotes highly significant difference compare to control; *** P < 0.001 denotes extremely significant difference compare to control; n.s. denotes no significant difference.

Using the NIPS pain score of the OS-NPA as the golden standard, the result showed a high intraclass correlation coefficient (ICC) and inter-rater reliability for both single and average measures between the VB-NPA, with neonatal pain videos captured in a real-world NICU scenario, and OS-NPA, with a highly significant correlation ( p < 0.001).

ANOVA highlighted that the N × B interaction was highly significant ( p < 0.001) for dehydroascorbate (DHA) and DHA to ascorbate (Asc) ratio, with the highest values recorded for Superfifty ( Table 3 , Supplemental Figure S1 ).

The Kruskal-Wallis method was used to test the difference in utilization of laboratory investigations in different age groups and it was found that there were highly significant differences statistically among the age groups with respect to utilization of laboratory investigations (p = 0.001).

When ‘ever’ with ‘never’ smokers were compared, a highly significant statistical difference was observed (p<0.001).

If fitted alone as predictor, the date function had a highly significant effect on nymph density ( χ 2 = 485, df = 6, P < 0.001), and the AIC of the resulting model was 1095.6.