Excerpts

41 As shown by the results, treatment by free DOX (G 4 ) caused an extremely significant cardiotoxicity as compared to normal control (G 1 ) ( P < 0.0001).

This showed a highly significant increase between the second (1 week after the second dose) and third dose (2 weeks after the third dose) for Omicron (p < 0.0001), less for Beta (p < 0.005) and not significantly different for original WT and Delta VOCs ( Figure S2 ).

Results: All 20 observers could distinguish between round and anatomical shape in all 14 cases (100%), which was highly significant ( P < 0.0001) for each observer.

Following a 24 h exposure period, both cell models showed a highly significant response to the compound ( p < 0.0001) at 2.0–5.0 μM, with non-significant responses at 1 μM.

The statistical significance of the overlap between MSH2 peaks and promoters (−1000 + 0 of TSS) was calculated using the enrichPeakOverlap function and found to be highly significant ( p = 0.0001).

3 ), health care use for schizophrenia disorders showed a trend increase across the pandemic (+ 2.92 per month; p < 0.0001) and a delayed start to increasing in the pandemic (− 18.31; p < 0.0001).

Figure 6 (left panel) demonstrates that, within these 702 node-positive patients, a highly significant correlation ( P < 0.0001) existed between the numbers of RNM at presentation and the rates of LRR through 15 postoperative years.

ANOVA results revealed a significant ( p < 0.0005) and highly significant ( p < 0.0001) difference in genotypes and B toxicity treatment ( Table 2 ). 3.4.

After accounting for differences due to strategy, mean age and mean PSA in the meta-regression analysis, the amount of residual heterogeneity between studies was calculated to be 76.0, which is highly significant at the 5% level (QE = 176.8, p<0.0001).

The differences between the animals that do not suffer degenerative processes (C57 and Opn4 −/− ) and the models with retinal degeneration (Rd10 and O×Rd) are extremely significant (two-way ANOVA, p < 0.0001).

Discrimination followed the order IL‐2 > IL‐13 > IFN‐γ with, however, only subtle differences in the respective highly significant AUC (0.9310, 0.8994, 0.8316) values (all p < .0001; Figure S7 A), which was similar to the results obtained with gradient‐purified PBMC with regard to IL‐13 and IFN‐γ while IL‐2 levels were clearly lower and less discriminatory after 6 days (Figure S4 A).

Among functional echocardiographic parameters, E/A ratio (p < 0.0001) showed a decreasing trend, whereas E/e’ ratio increased (p < 0.0001) with age.

From the perspective of metabolites, isoleucine and L-Leucine exhibited a highly significant positive correlation (P<0.0001), as well as a significant positive correlation with 4-Aminobutyric acid (P<0.01).

Here, * p < 0.05 stands for significant, ** p < 0.01 for highly significant, *** p < 0.001 for extremely significant and **** p < 0.0001 for most significant, ns for non-significant.

This increase was especially pronounced for moribund individuals and during the “High & Prolonged 1” trial (Supporting Information Figure S2 ), and is supported by the highly significant differences in CIE b * values between trials ( F = 38.17, df = 6, P < 0.0001) and between monitoring periods ( F = 6.21, df = 4, P < 0.0001).

There was a significant trend towards outpatient treatment over the study period ( p < 0.0001).

For pTau181, we observed highly significant effect modification by amyloid status (interaction β = 0.65, p < 0.0001).

For all 3 parameters the contrast between LPS and saline was calculated up to 24 hours postinjection and was highly significant ( P < .0001).

The F-value derived from the F-test, amounting to 47.68, signifies a highly significant model (*** P < 0.0001).

Ordinal logistic regression analysis confirmed that all but one complex indicator had a highly significant influence (Wald test p < 0·0001) upon the cluster affiliation of participants, except for symptom complex 10 (dermatology; p = 0·013).

There were consistent and highly significant (p < 0.0001) reductions of blood pressure, fasting plasma glucose, abdominal obesity, triglycerides and an increase in HDL cholesterol after 9 months of treatment with Irbesartan monotherapy as well as with the combination therapy (for individual figures see table 3 ).

We found the height‐wind interaction parameter was strong and highly significant ( P < 0.0001) (Fig. 3A , Table S3 ).

A highly significant correlation was also detected between body weight and age ( r = 0.84, P < .0001).

Of note, each comparison of atropine sulfate 0.01% versus vehicle and atropine sulfate 0.03% versus vehicle was nominally significant ( p < 0.0001 and p = 0.0023, respectively) (Fig. 3 ). s In Fast Progressor Subgroup 2 (progression − 0.75 D/year or worse at baseline, n = 225), the mean (least squares means) APR from baseline to month 24 was − 0.53 D (95% CI − 0.63, − 0.43) in the vehicle group and − 0.38 D (95% CI − 0.47, − 0.30) in the combined atropine sulfate group.

Associations of biomarkers with all-cause mortality in X69 Highly significant associations for 10 of the evaluated biomarkers (all except bilirubin) with all-cause mortality were observed in X69 ( P <0.0001; Fig 3 and Table 2 ) when they were evaluated one by one adjusting for classical risk factors (age, sex, glucose, systolic blood pressure, BMI, total cholesterol and smoking).