Barely Significant

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highly significantP < 0.0010.0× alphaqualifiedgold
All the studies measured miR-20a by reverse-transcription quantitative polymerase chain reaction (RT-qPCR). Pooled prognostic value of miR-20a in gastrointestinal cancer A random-effect model was applied to generate the combined association between miR-20a expression level and overall survival of GIC patients, since highly significant heterogeneity (I 2 = 89.5%, P < 0.001) was detected when twelve studies were pooled (Fig. 2 ).
highly significantp < 0.0010.0× alphaqualifiedgold
3 , we observed a highly significant spectral power peak at 10.2 Hz ( p < 0.001, p = 0.004 when time course, not trial ID, was shuffled; norm. spectral amplitude = 3.47: 95%-CI of the surrogate distribution obtained by shuffling the n −1-SOA labels across trials = [−1.38 2.51]; spectral powers exceeding the upper limit of this CI were deemed significant).
an increasing trendP < 0.0010.0× alphagold
Results In 1236 saliva samples from 903 boys aged between 11 and 16 years, salivary androgens except DHEA exhibited an increasing trend with an advancing age (ANOVA, P < 0.001), with salivary testosterone and A4 concentration showing the strongest correlation ( r = 0.55, P < 0.001 and r = 0.48, P < 0.001, respectively).
highly significantp ≤ 0.0010.0× alphaqualifiedgold
Differences between the clusters were highly significant for all parameters by ANOVA ( p ≤ 0.001), and significant differences were seen between Cluster 1 ( n = 26), Cluster 2 ( n = 59) and Cluster 3 ( n = 57) by Bonferroni post hoc test ( p ≤ 0.01), except for transferrin and serum iron.
highly significantP < 0.0010.0× alphaqualifiedgold
Thus in this study we aimed to pinpoint the mechanism of cell death in rMSCs treated with 0.1 μM sodium arsenite for 36 hr, as at this concentration a highly significant ( P < 0.001) reduction in the viability of the rMSCs was reported ( 12 ).
highly significantP < 0.0010.0× alphaqualifiedgold
Even though there was a slight overestimation in boys in some age groups and slight underestimation in girls in some groups, correlation analysis showed that there was a highly significant correlation between the chronological age and dental age for both boys ( r 2 = 0.96, P < 0.001) and girls ( r 2 = 0.98, P < 0.001).