For EFS, a numerical trend favoring VEN/HMA was observed among patients with RUNX1 mutation (HR 0.26, 95% CI 0.12–0.59, p = 0.003; Figure S1 a).
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Despite the small number of patients with RAS mutations ( n = 12), there was a numerical trend toward a higher prevalence of these mutations in the CC1 subtype than in the CC2 subtype (20.9% vs. 0%, p = 0.007).
The key‐release condition showed a numerical trend toward lower systole ratio at action timing ( t (26) = 2.34, p = 0.027, p .adj = 0.055, d = 0.45, BF 10 = 2.15), but this did not survive correction for multiple comparisons.
Notably, while the univariate analysis for TTF showed a numerical trend, the expanded multivariate Cox regression identified the combination regimen as a significant independent predictor of favorable TTF (HR 0.44, p = 0.028), representing a 56% reduction in the risk of treatment failure after adjusting for key confounders, including treatment era and prior biologic use.
Body weight showed a numerical trend towards a benefit with iGlarLixi versus IDegAsp, but a difference between treatment arms was only observed in HOMA‐β Q2 (LSM difference −1.73 kg; p = 0.033). 3.4.
A post-hoc analysis was conducted and showed a numerical trend to more severe TEAEs in the PEG group versus the OSS group [OR 0.52 (0.28–0.98), P = 0.0485], and severe related TEAEs [OR 0.49 (0.26–0.94), P = 0.0310].
There was a numerical trend toward a lower rate of disabling stroke in patients who received TAVR versus those who received SAVR (5.8% vs. 7.9%; p = 0.05).
While a numerical trend suggested less deterioration in the intervention group compared to the control group, the differences did not reach statistical significance ( P > 0.05).
The probability level that denotes significance is P < 0.05; a numerical trend is P > 0.05 and P < 0.10.
The subgroup of patients with documented extensive chronic GvHD showed a numerical trend towards higher NRM and RR versus patients without or limited chronic GvHD ( p > 0.05), while all other subgroups, as reported for the OS analysis, did not reveal significant differences in NRM or RR (Supplementary Tables S 4 , S 5 ).
The probability level that denotes significance is P < 0·05, a numerical trend is P > 0·05 and P < 0·10, and not significant P > 0·10.
However, a numerical trend ( p < 0.05) was found associating later age of onset with larger improvements in self-reported anxiety symptoms (SCAS-C). 3.3.
Additionally, when comparing non-degranulated mast cells in primary (Q1 = 3.750; Q3 = 45.25) and permanent teeth (Q1 = 0; Q3 = 11.00); although there was a numerical trend toward higher values in the primary teeth, no statistically significant difference was observed between the groups (p = 0.0513).
For the lateral compartment, a numerical trend for smaller loss of cartilage volume ( p = 0.052) was found in the post-treatment period in the IACI group.
A time-by-cluster interaction was observed for the CD8-skewed cluster (β = −0.020 mg/dL per month, p = 0.040), with a numerical trend that did not reach statistical significance for the innate-like cluster (β = −0.052, p = 0.052), Figure 5 .
Efficacy Primary outcome The primary efficacy end point of the time to recovery from Day 1 through Day 28 was not met, despite a numerical trend towards higher recovery rates in both enpatoran groups (50 mg b.i.d. n = 48, 88.9%, p = 0.054; 100 mg b.i.d. n = 42, 91.3%, p = 0.107) compared with the placebo group ( n = 37, 75.5%).
After adjustment for baseline NT‐proBNP, change in NT‐proBNP from baseline to last completed visit, baseline congestion score, and change in baseline congestion score to last study visit, there was a numerical trend towards a weight loss treatment difference with liraglutide (−3.94 lbs; 95% CI −7.96, 0.08; P = 0.055).
In a small cohort of nine UC patients, a numerical trend towards reduction in eukaryotic viral richness was observed in FMT responders compared with non-responders ( p = 0.056) [ 55 ].
In the univariate analysis, higher blood white blood cell (WBC) counts showed a numerical trend towards a higher probability of being associated with historical peritonitis (hazard ratio [HR] = 1.000, 95 % confidence interval [CI] = 1.000–1.001, p = 0.056).
However, dietary treatments showed a numerical trend (p = 0.056) of serum glucose concentrations such that PC diet had the highest (301.4 mg/dL) and NC+E+M diet had the lowest (274.7 mg/dL) concentrations.
For the knee alignment in women, the increase in valgus angulation showed a numerical trend towards an association with TKA ( p = 0.057).
Patients undergoing screening had better preserved performance status at brain metastasis diagnosis ( P = 0.002) and a numerical trend toward fewer brain metastases ( P = 0.057).
Over a median follow-up of 999 days, cardiovascular mortality was significantly higher in the bailout ViV group (17.39% vs 6.67%, p=0.015), with a numerical trend towards increased all-cause mortality (26.09% vs 15.51%, p=0.058).
Glycaemia at daytime versus night‐time during the 5‐day exercise period While there was a numerical trend for more time spent in euglycaemia for the 75% IDeg dosing period during night‐time, it did not reach statistical significance ( P = 0.059; Table 3 ): 3.5.
No differences were found between those seeking only ESG versus those seeking only IGB placement in the proportion of female respondents, excess weight, presence of weight-related medical conditions, or use of prescription antiobesity medications; however, those seeking IGB-only versus those seeking ESG-only therapies had a numerical trend toward younger age (39.6 ± 9.6 years vs 44.2 ± 9.8 years, P = .0598) and lower BMI (37.0 ± 4.2 kg/m 2 vs 39.5 ± 5.7 kg/m 2 , P = .0572).