In the RMS model, total RMS was not associated with BCVA (β ≈ 0.00 logMAR per μm, p = 0.997), whereas the time effect remained highly significant (β ≈ −0.97, p = 0.001).
Excerpts
The use of SGLT-2 inhibitors showed a highly significant association with lower HF incidence ( p < 0.001) ( Table 2 ).
In patients with an abnormal and large %CO reduction (<−15%), the relation was highly significant: %CBF reduction = 0.8291 × %CO reduction − 5.789; R 2 = 0.645; p < 0.001.
The difference across main branches was highly significant (χ 2 (3) = 63.5, p < 0.001; Cohen’s w = 0.63, large effect).
According to the cut-off value determined by ROC analysis for SII, median PFS was 5 months (95% CI, 2.94–7.06) in the low SII group and 4 months (95% CI, 2.79–5.21) in the high SII group, showing a highly significant difference ( p < 0.001).
Regarding the hearing levels at specific frequencies, highly significant differences were found at all frequencies, in both the right and left ears ( p < 0.001 at almost all frequencies) ( Table 4 ).
Highly significant differences were found between the global SALSEX score at baseline and after switching to vortioxetine (t = 12.279, p < 0.001).
(2006) [ 11 ] indicated an event rate of 0.157 (95% CI: 0.154 to 0.160), with a highly significant result (Z = −148.584, p < 0.001).
The difference between groups was statistically significant ( p = 0.028) when comparing only the groups I and N, but highly significant differences ( p < 0.001) were found when comparing all three groups.
In particular, comparison of the groups demonstrated highly significant overall effects of risk stratification on maternal complication rates and neonatal health indicators ( p < 0.001 for trend across low, moderate, and high-risk groups).
In addition, it was observed that HbA1c level was one of the variables with the highest standardized effect on depression scores (β = 0.37), and this relationship was found to be statistically highly significant (B = 1.50, p < 0.001). 4.
When all groups were combined, differences between services remained highly significant across all major HF drug classes ( p < 0.001), highlighting that treatment disparities are driven by both the type of service and patient sex. 3.3.
A child’s school performance also showed highly significant association ( p < 0.001) with mean scores ranging from 41.33 ± 16.35 for poor performance to 64.43 ± 14.04 for excellent performance.
Secondly, there was a highly significant ( p -values < 0.001) increase in the hearing threshold from 0.25 kHz to 0.5 kHz.
Postmenstrual bleeding showed a highly significant difference, occurring in 47.0% of patients with isthmocele versus 4.7% of those without ( p < 0.001).
However, our findings indicate a notable trend: viral infections were significantly more likely to be associated with recurrent episodes of keratitis (31.33% vs. 19.91%, p = 0.001), whereas bacterial infections more frequently accounted for first-time episodes (47.00% vs. 38.63%, p = 0.001).
The omnibus test of model coefficients was highly significant (Q(12) = 64.180, p < 0.001), indicating that the combined moderator variables explained a large portion of the variance in effect sizes.
Highly significant differences in surgical technique also occurred between groups derived from the Paprosky classification ( p < 0.001): 97.3% of all patients grouped in IIIa received surgery performed with “transfemoral cementless fixation”, whereas almost all patients with classifications of IIIB and IV received surgery with “transfemoral cementless fixation + distal locking” (except one patient IIIB who received “transfemoral cementless fixation”).
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%).
pneumoniae strains, with a decreasing trend during the four semesters ( p -value < 0.001), which presented an 80% resistance rate to ampicillin/sulbactam and 73.33% to ciprofloxacin.
DMFT and M scores increased with age, and the difference between age groups was highly significant ( p < 0.001, Kruskal–Wallis test).
In contrast, the FMA measurement itself showed a highly significant difference ( p < 0.001), with median values of 32.1° in the hyperdivergent group, 15.9° in the hypodivergent group, and 24.5° in the normodivergent group, which is expected given that these groups are defined by their FMA values.
The Bath-BPD and Neurobehavioral questionnaires showed a highly significant correlation with the DASH ( r = 0.67 and 0.64, respectively, p < 0.001), whereas the correlations with the LEFS were not significant.
Association with Blood Product Type and Post-Transfusion Workup PRBC transfusion was the blood product most associated with ATRs (196, 82.4%), with a highly significant association across all reaction types ( p < 0.001).
Notably, when lactate was included, glucose lost its independent significance ( p = 0.233), while lactate remained highly significant (OR = 1.83, p < 0.001), suggesting that lactate captures metabolic derangement more effectively than glucose in a comprehensive model. 3.4.