We found a numerical trend towards higher P-selectin PMPs in CKD 3; 147 (111–174), compared with H; 106 (79–158), but this was not significant ( p = 0.11).
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“a numerical trend”
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p=0.09
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In women, ever smokers and smoking amount showed a numerical trend towards lower risk of death and hospitalisation, but were only significantly associated with respiratory hospitalisation (Additional file 1: Table S2 and Table S3 ).
Association Between Weight Reduction and PROs Although statistical tests were not conducted, results of these additional exploratory post hoc analyses showed that there was a numerical trend towards improved SF-36v2 Physical and Mental Component Summary scores in participants treated with tirzepatide achieving greater percentage reductions in weight, with participants achieving ≥ 15% weight reduction reporting the greatest improvements in component summary scores (after adjustment for baseline PRO scores) (Fig. 5 a).
However, a numerical trend was observed for OS in favor of Isa‐Kd compared with Dara‐Rd after matching adjustment. 3.4.
[ 11 , 26 ] Although mortality rates were not significantly different between the groups, a numerical trend toward higher mortality in Group-C was observed.
Interestingly, in another study, there was a numerical trend towards a higher 30-day mortality among patients who underwent redo-TAVR for procedural versus THV failure, but this was not statistically significant (5.4% versus 1.4%, respectively; p=0.427).[ 8 ] Periprocedural complications were low, and the 30-day survival was 94.6% in those undergoing redo-TAVR for procedural failure and 98.5% in those with THV failure (p=0.101).
There was a numerical trend for increased p38 MAPK activation in macrophages cultured for 60 min compared to 16 h, but this did not reach statistical significance (p = 0.1).
In the STEMI subgroup analyses, a numerical trend toward later (>24 h) admissions, and increased patient mortality were noted.
Importantly, no individual TKI demonstrated clear superiority in terms of OS2, although a numerical trend toward longer PFS2 was observed with lenvatinib.
The confidence intervals of the hazard ratios in each group exceeded 1, and all p -values were greater than 0.05, indicating no significant differences in survival rates between the subgroups (Table 2 ).Some subgroups, particularly those with clinical stage I patients (HR = 2.15), demonstrated a numerical trend; however, none achieved statistical significance.
lymph node metastasis, P = 0.305), a numerical trend towards lower expression in CIS and metastatic lesions was noted compared to the primary tumors.
ΔEF did not differ significantly between groups, although maneuver-tested patients showed a numerical trend toward higher improvement compared with No maneuvers.
Although the sample size for the 2 subpopulations was not balanced and data must be interpreted cautiously, it appears that the treatment effect is similar in the mono- and polysensitized subpopulations, with a numerical trend of a greater treatment effect in polysensitized subjects.
While there was no significant difference regarding ischemic events, a numerical trend towards a higher number of early ischemic events was observed between the two groups [ 23 ].
A numerical trend was observed towards upregulation of Fra-1 gene in the HS sham group followed by an inclination towards downregulation in both the SP5 and SFO regions within the LLTS treated group.
Unlike a numerical trend, such as a sliding mean, we would here have a “sliding empirical distribution” to determine the trend in terms of randomness. 5.3 Comparing Empirical Distributions With the three data sets as described, let us now look into how decisions based on the empirical data can be made.
The biomarker data suggest a numerical trend toward higher efficacy at the high dose versus the low dose.
A numerical trend toward higher roxithromycin resistance was observed in pregnant women (52.63%) compared to Postpartum women (32.95%), although this difference did not reach statistical significance ( P > 0.05; Table 4 ).
There was a statistically significant increase (p=0.019) in Tregs in responders versus non-responders, in addition to a numerical trend for increased overall baseline CD3 T cells and CD8 T cells in responders.
However, this does not alter the conclusion that encouraging subjects to attend to the items influenced retrieval of stimulus-stop associations: the authors still found a reliable effect of item type in the p (respond|stop) measure during training, a reliable effect of item type during the test phase for go reaction times, and a numerical trend in the test phase for the p (respond|stop) measure.
The results revealed a statistically significant difference between the groups ( p < 0.001) Based on the values obtained, a numerical trend was observed in which cases with higher PI and GI scores had lower decorin levels.
When the feed intake was calculated and expressed over the whole study period (d 0 to 35 of age), there was a numerical trend throughout the trial that the Cr propionate increased feed intake in both T1 and T2 when compared with the control group, but this increase was not significant.
Nonetheless, there is a numerical trend broadly in line with what we found in Experiment 1: ORCs had higher RTs than SRCs. 4.5.
Our pooled analysis did not detect significant differences in systolic or diastolic blood pressure between treatment groups, although there was a numerical trend toward lower blood pressure with roxadustat.
Nevertheless, there was a numerical trend for improved results in the modified bicaval group regarding postoperative epinephrine therapy (98 ± 44 h), norepinephrine therapy (76 ± 72 h), va-ECMO/microaxial pumps (10.0%) and successful weaning rate from va-ECMO/microaxial pump (100.0%) compared to biatrial (120 ± 92 h; 235 ± 351 h; 27.0% respectively 90.0%) and bicaval technique (153 ± 153 h; 166 ± 188 h; 28.8% respectively 70.9%).