Although the time to PR across nephron number tertiles did not reach statistical significance, a numerical trend is evident (7, 9, and 11 days, respectively).
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“a numerical trend”
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p=0.09
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A numerical trend in favor of the asymptomatic subgroup was found at D50 (median NAbs, 52.9% vs 44.3%, respectively).
A numerical trend towards a linear increase in EP was observed, although it did not reach statistical significance ( P > 0.05).
While there was a numerical trend showing that increased IBD team staffing reduces TAT, we did not find a statistical correlation.
The results for the two RWSs [ 1 , 33 ] with BCVA change measured at 6 months showed a numerical trend of higher improvement for aflibercept compared with ranibizumab, but the difference was not statistically significant ( n = 84, MD 5.09, 95% CI − 16.19 to 26.37, P = 0.64) (Fig. 2 ), similar to the subgroup of patients with non-ischemic CRVO (Supplementary Materials Table S10 ).
A numerical trend towards higher intra-patient variation of sPD-L1 levels was observed in patients who received bevacizumab 10 mg/kg body weight as compared to patients where 400 mg bevacizumab were administered ( p = 0.103, Mann–Whitney U test).
Considering the different age groups at diagnosis, there was however a numerical trend towards a higher prevalence of patients with pure ILC in the parous patients diagnosed between 41 and 50 years of age (OR 1.50, 95%CI 1.00–2.33, p-value 0.052) as shown in Supplementary Fig. 1.
These changes showed a numerical trend towards benefit but were not statistically significant between high‐dose and placebo groups in either the mITT population ( P = 0.56) or ITT population ( P = 0.071) but certainly suggest a preservation of fat mass despite ongoing cachexia.
This relates to earlier analyses of mean RTs, in which priming did not reach significance in any condition and was limited to a numerical trend for the 60 ms duration ( Kiefer et al. 2023b ).
Tenecteplase showed a numerical trend toward benefit (OR 1.33; 95% CrI 0.98–1.78) but did not reach statistical significance.
The Relationship Between the Severity of Cervical Inflammation and Cytological Abnormalities and HPV When examining the relationship between the severity of cervical inflammation, cellular abnormalities, and HPV carriage, a numerical trend toward higher rates of abnormal cytology with increasing inflammatory severity was observed; however, this association did not reach statistical significance ( p = 0.159).
A numerical trend toward longer PFS was observed among patients receiving SBRT during immunotherapy, although the differences were not statistically significant.
Nonetheless, the T-VEC-pembrolizumab group showed a numerical trend toward longer median PFS (14.3 months vs. 8.5 months) and slightly higher ORR (48.6% vs. 41.3%) and DRR(42.2% vs. 34.1%), while maintaining a comparable safety profile [ 74 ].Although the combination of T-VEC and pembrolizumab did not achieve a significant overall survival advantage in the first-line setting for advanced melanoma, it remains under active investigation in PD-1 inhibitor-refractory melanoma and other malignancies.
Discussion In this randomised controlled trial, adjunctive silodosin after ESWL did not achieve a statistically significant improvement in the primary endpoint of overall SFR compared with standard care, although a numerical trend towards higher clearance was observed.
Although fixed-dose clinical trials did not show a statistically significant treatment effect difference between 75 mg and 225 mg per day, there was a numerical trend suggesting possible superiority of higher doses, which is often seen in clinical practice.
Among people with obesity or overweight, a numerical trend of multiple obesity-related complications and higher mean (SD) CCI scores was observed in individuals with higher BMI than in those with lower BMI (CCI scores: normal BMI: 1.3 [1.8]; overweight: 1.1 [1.6]; Class 1 obesity: 1.2 [1.7]; Class 2 obesity: 1.3 [1.7]; and Class 3 obesity: 1.5 [1.8]).
In our cohort, this score showed a numerical trend toward survival stratification; however, differences in OS and disease control rate (DCR) did not reach statistical significance.
There was a numerical trend of Eastern European-born patients of having the highest 5-year probability of LDKT [7.9% (95% CI: 5.9–10.3)], and of DDKT [65.7% (61.4–69.0)], and also the lowest rate of withdrawal from the WL [4.4% (2.8–6.5)]; of EU-born of having the highest rate of withdrawal from the WL [6.7% (6.3–7.0)]; and of non-European-born of having the lowest rates of LDKT [4.0% (3.2–5.0)] ( figure 1 and table 2 ).
There was no significant effect for male fragrances, b = 0.44, SE = 0.36, z = 1.22, p = .22, or female fragrances, b = -0.36, SE = 0.25, z = -1.4, p = .15, but there was a numerical trend for higher accuracy when fragrance gender and grammatical gender were congruent.
Over the 3 phases, there was a numerical trend towards a slightly better accuracy from 23.6% to 28.0%—which was also observed within the two subgroups (residents and oncologists)—which however lacked statistical significance in all subgroups (see table 2 ).
The probability of achieving an ACR20 response, disease remission based on CDAI or SDAI, and Boolean remission were the only outcomes for which the effect of treatment was not statistically significantly different, although a numerical trend was observed in favour of CT-P13 SC.
However, in the subgroup of patients with low- and high-flow supplemental oxygen/non-mechanical ventilation, there was a numerical trend towards benefit of treatment with remdesivir, with 28-day mortality lower among those treated with remdesivir (9.4%) versus standard of care (10.6%) 10 .
Within the population with T2DM (N = 180), contrary to our initial hypothesis, metformin treatment showed a numerical trend towards shorter PFS, though this did not reach statistical significance (HR = 1.41, 95% CI [0.97–2.05], p = 0.069).
Although the difference was not statistically significant, a numerical trend toward lower reinfection rates was observed in the prefabricated group.
Therefore, according to all models, contrary to what might be expected under the encoding variability hypothesis, there was at least a numerical trend for both old item variance and overall levels of old item strength to be greater in the fixed than variable condition, with no evidence that old item variance was greater in the variable condition.