Barely Significant

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showed a trendP < 0.0010.0× alpha
In combined analysis, the addition of trastuzumab to paclitaxel resulted in a significant improvement in DFS (HR 0.52, P < 0.001) and reduction of death by 39% (OS, HR 0.61, P < 0.001) compared to paclitaxel alone.[ 13 ] The efficacy of concurrent versus sequential administration of trastuzumab showed a trend toward improvement in DFS in the concurrent arm; however, sequential was still better than placebo ( P < 0.001).
highly significantP < 0.0010.0× alphaqualifiedgold
The physical, psychological, social, and environmental domain score of QOL was found to be better in those with normal activities of daily living (ADL) and having no co-morbidity, and it was also found to be statistically highly significant on applying the “Student t-test” ( P < 0.001) [ Table 5 ].
a significant trendP < 0.0010.0× alphagold
For WC-defined phenotypes, both obesity and metabolic dysfunction independently contributed to increased CVD risk relative to MHN: MHO (RR 1.84, 95% CI: 1.23–2.77), MUN (RR 1.58, 95% CI: 1.14–2.20), and MUO (RR 2.22, 95% CI: 1.63–3.04), with a significant trend across categories ( P < 0.001).
highly significantP < 0.0010.0× alphaqualifiedgold
Child–Pugh B, a serum AFP level of >10 ng/mL, and moderate histopathological differentiation showed a highly significant statistical correlation with both LTP development and decreased Loc-PFS ( P < 0.001, P = 0.008, and P < 0.001, respectively).
highly significantP<0.0010.0× alphaqualifiedgold
The variance in allele sizes ( Vp ) is relatively variable among population groups, especially so for the Frequency dataset ( Figure 2A ), and the differences for this last dataset are indeed highly significant (Kruskal-Wallis test, P<0.001 ).
highly significantp < 0.0010.0× alphaqualifiedgold
The odds ratio (95% confidence interval) for mild cognitive impairment was 0.43 (0.39, 0.48) for a successful feet-together test, 0.53 (0.46, 0.60) for a successful semi-tandem test, and 0.63 (0.57, 0.70) for a successful tandem test after adjusting for potential confounders [the p-value for each model was highly significant (all p < 0.001)].