“highly significant”

This difference was highly significant ( P < 0.001) in the total cohort and in the acute/subacute and unclassified subgroups, while it was statistically significant in the alcoholic liver failure subgroup ( P = 0.029 and 0.033 for 30- and 90-day mortality, respectively).

SR + Qa) revealed highly significant differences for all three radioisotopes ( p < 0.001), indicating pronounced contrasts in their distributions.

The highly significant agreement ( p ≤ 0.001) in ring width variations of radius a and b (i.e., a : b ) and radius a and mean of radii c and d (i.e., a : cd ), as well as mean of radii a and b and c and d (i.e., ab : cd ), are striking ( Figure 4 a–c).

Pairwise t -tests showed all correlation increases from null were highly significant ( P <0.001).

There was a highly significant correlation between each item related to the dentist and the likelihood of the patient to recommend a certain dentist to others “that is, patient loyalty” ( P < .001).

Bartlett’s test of sphericity, which is particularly sensitive with small sample sizes, was highly significant ( p < 0.001; Worthington and Whittaker, 2006 ).

For example, the third basis function (bs3) was highly significant for ADAS‐Cog13 (β = 0.344, P < 0.001), CDR‐SB (β = 0.287, P = 0.005), and FAQ (β = 0.356, P < 0.001), confirming distinct nonlinear patterns in these measures.

The compleasome response was limited to CSF, with a highly significant difference between infected rats and controls ( n = 11, p < 0.001).

The analysis revealed a highly significant reduction in alveolar cleft width following NAM therapy (p< 0.001).

Both treatment modalities resulted in highly significant improvements in all clinical and radiographic parameters at 6 months compared to baseline (p<0.001 for all).

All correlations were highly significant (Z > 3.29, p < 0.001), indicating strong associations for the same network metric across different proximity definitions.

Statistical analysis showed that the increase in NOX4 expression in PDAC patients is highly significant ( P <0.001) ( Fig. 2f ).

The significance thresholds were deemed as statistically significant ( P ≤0.05), highly significant ( P ≤0.01) or extremely significant ( P ≤0.001).

In contrast, the sham group exhibited minimal change (5.6±1.1 to 5.2±1.0; p=0.18), with only 7.1% reduction ( Table 2 ). The between-group difference in post-treatment VAS scores was highly significant (mean difference: 3.1; 95% CI: 1.8-4.4; p<0.001).

The difference in total donor site complications was highly significant (0% versus 26.3%, p<0.001).

Both were highly significant ( p < 0.001).

TGL: HDL-c and NON- HDL-c levels were calculated, Statistical data analyzed using SPSS version software 16.0 showed TGL / HDL- c ratio and NON-HDL-c values has significant correlation with CKD staging and found to highly significant (p <0.001).

The study group demonstrated a mean (SD) suturing time of 3.809±0.253 minutes, compared to 6.923 ± 0.438mins in the control group suture length was 15.867 ± 0.617cm in Group I compared to 23.667 ± 1.253cm in Group II The difference in suturing time and length of suture material was highly significant between the study and control group (p value < 0.001) ( Table 4 ).

As shown in Figure , both chamazulene and BHT exhibited concentration dependent radical-scavenging activity, with highly significant differences between them in the DPPH assay at all concentrations ( p < 0.001).

Highly significant differences were found in the incidence of the random pattern as opposed to the orthogonal and deviant ones ( P < 0.001), underlying the fact that this random pattern is the most frequent one observed in this species.

A recent study on the sexually dimorphic parameters of the femur reported that the mean femur length was significantly greater in males (4.36 cm) than in females (4.02 cm), with highly significant differences (p-value < 0.001) in the length ranges and standard deviations. 36 This prospective cohort study investigated patients with knee osteoarthritis who underwent TKA to assess the relationship between radiographic parameters, the extent of MSTR, and VCA.

It was found that the difference between preclinical and clinical dental students was highly significant (p < 0.001).

A statistically significant result was defined as P < 0.05, and a highly significant result as P < 0.001.

Prolonged Ayurvedic treatment exhibited a decreasing trend in % COVID-19 positive patients, which is highly significant (p < 0.001).

When the three academic motivation subdimensions (IM, EM, amotivation) were added in Model 2, the overall model became highly significant, F (4, 59) = 7.315, p < 0.001, accounting for 33.2% of the variance in learning burnout ( R 2 = 0.332, adjusted R 2 = 0.286), with a significant incremental ΔR 2 = 0.310 ( p < 0.001) compared to Model 1.