In IPGTT, no significant difference (P<0.01) was found between the basal plasma glucose levels of wistar and GK-Gel from the plasma glucose levels observed after 120 minutes of glucose administration whereas, a highly significant difference (P<0.001) was observed between the basal plasma glucose levels and plasma glucose levels after 120 minutes of glucose administration ( Fig. 2A ) in GK-Saline.
Excerpts
The highest prescription rate of the annual use of statins in new users was rosuvastatin, with an increasing trend from 2013 to 2016 (69.87, 95% CI: 68.68–71.06% in 2013; 80.54, 95% CI: 79.68–81.40% in 2016), and slightly decreased in 2017 and 2018, p < 0.001 (Fig. 1 ).
The differences between treatment groups were highly significant ( p < 0.001). 3.3.6.
The correlation coefficient of root mass is the highest for both parameters of the QST and also highly significant for the water retention curve parameters (p < 0.001).
A probability value of * P < 0.05 was considered as significant, ** P < 0.01 was considered as highly significant and *** P < 0.001 was considered very highly significant. 3.
Compound 4 exhibited an extremely significant reduction ( p < 0.0010) to protein ratios of 0.70, 0.76, and 0.75 at all three concentrations.
Additionally, over the nine years, an increasing trend was explicitly observed for brain cancer (p < 0.001), while the trends for other cancers remained stable.
The decrease in conidia production in the Δ Fgac1 mutant is highly significant according to t -test (p<0.001).
Results The number of LGV cases rose by a factor four, from 21 in 2011 to 88 in 2016, and regression models showed a positive trend estimate of 14% increase per half year ( p < 0.001).
Consistent with the increase in ROS generation observed following cryopreservation, this process was associated with highly significant overall changes ( p < 0.001) in the lipid peroxidation status of the spermatozoa, as reflected in the percentage of cells positive for the lipid aldehyde MDA ( Figure 4 A).
The highly significant association was predominantly observed in the subgroup of patients who underwent valve surgery (β = 6.243, 95% CI [3.631, 8.856], P < 0.001) and in those with a CCI score > 5 (β = 6.852, 95% CI [3.870, 9.834], P < 0.001).
There was also a moderately significant correlation between the number of CS done and using the SBME (ρ: 0.406, p < 0.001) [ 16 ].
Despite this conservative approach, the difference between treatments was highly significant (Wilcoxon Rank Sum test, p <0.001; Figure 4 ).
This test indicated a highly significant effect for treatment (1.82-fold increase; p < 0.001, not shown).
The effects of single injections of 1 and 3 mg/kg JMV2959 administered after 2 mg/kg methamphetamine-CPP conditioning were highly significant: F2,21 = 29.38, p < 0.001 (see the Figure 1 ).
Similarly, DAS28 scores showed a marked and highly significant reduction at both follow-up visits ( p < 0.001 for both timepoints).
The transition from uncomplicated to complicated diabetes remained highly significant ( p < .001, d = 0.802), indicating that complication development is accompanied by a substantial further acceleration in AGE accumulation (59.4% increase beyond uncomplicated T2DM).
With a large sample size (n = 500), the p-value for the difference between the experimental and control groups was highly significant (p < 0.001), suggesting that meditation reduced anxiety.
Results: Highly significant increase was found in cathepsin L expression in AD and LP patients compared to controls [ P = 0.001].
The difference between two mean values was analyzed by Student's t -test and was considered as statistically significant in case of P < 0.05 (*) and highly significant for P < 0.001 (**).
The CRRT modality most frequently used showed highly significant differences across all domains (all p < 0.001).
There was an increasing trend towards modifiable UDTC risk factors coprevalence with increasing education and annual family income (all p<0.001).
Analysis of variance and broad-sense heritability ANOVA results for all traits and years indicated that genotype was a highly significant factor (p< 0.001) influencing phenotypic variation.
The overall Time × Treatment interaction was highly significant, F (2, 151.9) = 94.85, p< .001, indicating that the two groups showed significantly different trajectories of change over time.
The FAB coefficient was negative and highly significant (β = −0.75, SE = 0.17, z = −4.55, p < 0.001), indicating that higher FAB scores were associated with decreased odds of MCI classification.