The 30-day mortality and 1-year mortality showed a highly significant difference correlating with the stage of CKD ( p < 0.001) (see Supplementary Materials, Table S6 ).
Excerpts
Infection resulted in a highly significant total indirect effect on the long COVID phenome (t = 8.92, p < 0.001).
Age itself showed a strong, highly significant negative association with DMFT in all models ( β around −1.1, p < 0.001), indicating that, within this caries group, younger children tended to have higher DMFT scores.
There is a very high positive correlation between the case group and the TMJ affected, with a correlation value of 0.934 and a highly significant level of p < 0.001.
The results show highly significant correlations for all dependent variables ( p < 0.001), with coefficients ranging from 0.758 to 0.851, indicating strong positive associations between the two sets of ratings.
A univariable extended Cox regression ( Table 2 ) demonstrated a strong and highly significant association between FRS (in percent) and graft failure (hazard ratio (HR): 1.04, 95%CI: 1.02–1.06, p < 0.001, model 1), indicating a 4% increased risk of developing graft failure over the course of 10 years, per percentage increase in the FRS.
This entailed calculating Spearman’s rank correlation coefficient (ρ), implementing a correlation model, and ascertaining a moderately significant correlation (ρ = 0.371, p < 0.001).
NT-proBNP Reflects Hypertrophy Rather than Dilatation or Dysfunction Highly significant correlations were found for interventricular septal thickness (LVH, r = 0.678; p < 0.001 vs. no LVH, r = 0.243; p = 0.276, Figure 3 A,D), left ventricular maximum wall thickness (LVH, r = 0.717; p < 0.001 vs. no LVH, r = −0.227; p = 0.502, Figure 3 B,E) and left ventricular mass index (LVH, r = 0.549; p < 0.001 vs. no LVH, r = 0.184; p = 0.298, Figure 3 C,F).
The incorporation of first visit information led to a decrease in AIC (Akaike Information Criteria) that was highly significant ( p < 0.001) compared to the model using baseline data alone.
Results: There is a highly significant correlation ( p < 0.001) between cerebral blood flow, cerebral vascular expansion volume and venous drainage distribution.
Highly significant differences ( p < 0.001) were found in five categories: general COVID-19 information level (37.3% vs. 26.2%), concerns (24.1% vs. 12.2%), isolation (21.4% vs. 13.7%), uncertainty (21.2% vs. 8.5%), and prioritization (15.2% vs. 23.4%).
Blood transfusion was markedly significant in IPVE (4 units (0–27) vs. 2 units (0–14); p < 0.001).
A second study [ 144 ] followed 20 subjects with IBDs wearing the LNG-IUS; they observed a progressive reduction in the median PBAC score over time, becoming highly significant at 12 months ( p < 0.001).
The association between treatment allocation and recovery trajectory was statistically large and highly significant (χ 2 (2) = 36.25, p < 0.001; Cramer’s V = 0.63).
The difference across main branches was highly significant (χ 2 (3) = 63.5, p < 0.001; Cohen’s w = 0.63, large effect).
Zone-specific analysis revealed highly significant differences in coverage across anatomical regions (Friedman chi2 = 450.12, p < 0.001).
All postoperative improvements compared to baseline were highly significant ( p < 0.001).
The VAS-score regarding pain showed an highly significant reduction of 74.1%, from 8.5 ± 0.8 to 2.2 ± 0.9 points; difference: 6.3 points ( p < 0.001) ( Figure 8 ).
Bartlett’s test of sphericity for all factors is highly significant ( p < 0.001); hence, the variables are correlated enough to proceed with factor analysis.
There was a significant trend ( p < 0.001) for p16/Ki67 positivity and increasing histological severity of the lesion: this was observed in 11.5% of histology-negative cases, in 18.7% of CIN1 cases, and in 94.6% of CIN2+ cases detected on histology.
The correlation between LV-D-GCSR and ECV was highly significant (r = 0.68, p < 0.001).
Analysing questionnaire results, highly significant statistical differences were noted for both CIVIQ-20 and r-VCSS when comparing the baseline with results at one month and six months ( p < 0.001).
The initial NIHSS score was not statistically significant ( p = 0.112), whereas the initial K-MBI score demonstrated a highly significant positive association with outcome ( p < 0.001).
[ 78 ] reported a highly significant correlation between NLR and fecal calprotectin (r s = 0.347, p < 0.001); however, Bertani et al.
The association of APRI, NFS, and FIB-4 scores with mortality in the elderly with COVID-19 was highly significant for all three scores ( p -value < 0.001).