“a numerical trend”

A numerical trend between the experimental strategy and a lower risk of myocardial infarction was observed (IRR 0.79; CI [0.61–1.01]; p = 0.06; I 2 = 0%).

There was a numerical trend for increase in rates of ODI (55.9% vs. 41.0%, P = 0.06) in UC patients who underwent allogeneic HSCT.

In multivariate analyses, history of cancer (OR 1.32, CI: 1.00-1.75; p=0.05) and recent use of chemotherapy/biologics (OR 1.76, CI: 1.14-2.69; p=0.01) were associated with higher risk of in-hospital death; history of CVD demonstrated a numerical trend toward increased mortality (OR 1.19, CI: 1.00-1.42; p=0.06).

When the data were stratified by autoantibody positivity (RF, ACPA) ( online supplemental table S1–S2 ), high PM 10 exposure showed a numerical trend towards a positive association with RA-ILD mortality in the RF (+) (HR 1.54; 95% CI 0.98 to 2.42; p=0.060) and ACPA (+) (HR 1.58; 95% CI 0.99 to 2.51; p=0.054) groups; but with marginal significance.

This effect was followed by a numerical trend for greater ADG throughout the remainder of the study so that overall ADG tended to be greater (4.9%, p = 0.06) for the HF than for LF.

Ruminating time was primarily driven by PS (long > short), while iNDF showed only a numerical trend ( P = 0.06 ).

While there was a numerical trend towards improved PFS in the GemOx + cetuximab KRAS-wild type arm, this was not significant (mPFS 7.1 months [GemOx + cetuximab] vs 5.6 months [GemOx]; p = 0.06) [ 118 ].

Similarly, the number of prior palliative treatment lines did not significantly affect PFS, although a numerical trend was observed (HR = 1.11, 95% CI 1.0-1.23; P = .06).

There was no difference of CAM use between the US born (68.77%) and the immigrants (63.98%, P = .199) as a whole; however, comparing with the US born (66.50%), Asian-born immigrants had lower CAM use (53.77%, P = .0161), whereas Latin-American born had a numerical trend toward higher CAM use (74.83%, P = .0608).

On the other hand, our finding regarding the SDT showed a numerical trend toward higher thresholds in the ADHD group ( p = 0.061).

In subgroup analysis according to clinical presentation, there was a numerical trend toward higher 1-year mortality among patients presenting with ACS compared with CCS (15% vs. 3%, p = 0.061).

The intermediate ISC values for nature videos—significantly lower than leg videos ( p = 0.033) yet showing a numerical trend toward higher values than arm videos ( p = 0.063)—provide insight into the factors driving neural synchronization.

LumB tumors showed a numerical trend to better PFS with low CCNE1 (median PFS 12.02 vs. 7.06 months, HR = 1.57; 95% CI, 0.97–2.56; P value = 0.0631).

There was a numerical trend for the interaction between interruption task complexity and central code ( F (1,70) = 3.55, p =.064; word group 5.1% or 0.8 words interruption task complexity costs; arrow group 1.1% or 0.2 words interruption task complexity costs), but given the non-significance of the interaction, we refrain from interpreting this numerical trend.

The group effect on reaction time showed a numerical trend, F (2, 42) = 2.913, p = 0.065, η 2 = 0.122, which indicated that the comorbidity group produced longer reaction time than did the other two groups ( p s < 0.05).

Within patients with CKD, clinically inferred MASLD prevalence showed a numerical trend toward lower values in the AF + group than in controls (28.4% vs. 45.7%, p = 0.065), although this difference did not reach statistical significance.

In pristine-injected lupus mice, there was a numerical trend towards lower levels of aortic leukocyte infiltration in the hydroxychloroquine-treated group ( P = 0.066).

Additionally, a numerical trend toward a higher 3-year DFS was observed in the SIIR reduction group (84.4% vs. 64.1%, HR 2.52, 95%CI: 0.91–7.00, p = 0.067), although this difference was not statistically significant ( Figures S4 C and S4D).

A numerical trend towards a lower risk of ILRR for patients receiving chemotherapy was observed (HR 0.63 95% CI 0.39-1.03; P = .068).

Adults showed a numerical trend favoring dominant-limb transfer during elbow flexion ( p = 0.068), approaching conventional significance thresholds.

45.9 ± 1.1%, p = 0.208), whereas residual graft showed a numerical trend toward higher values with A-Oss (20.2 ± 3.5% vs. 13.3 ± 4.5%, p = 0.069).

At the monocular level, DCNVA showed a numerical trend favoring TECNIS EyhanceTM (0.255 ± 0.118 vs. 0.325 ± 0.112 logMAR) that did not reach statistical significance ( p = 0.069) and for which equivalence was not demonstrated (TOST p = 0.212).

Noninferiority of Short Flex compared with Long Flex was shown in an ANCOVA model adjusted for the baseline TWSTRS severity score (95% CI = [−2.9, 0.1] > Δ = 2.0), while there was a numerical trend toward favoring the Short Flex interval (least squares [LS] mean difference [standard error; SE], −1.4 [0.8] points; P = 0.0693) suggesting that both incobotulinumtoxinA injection intervals were effective in managing the clinical symptoms of CD.

Stent-related perforation occurred in 26.7% of palliative care-only patients and 27.3% of palliative chemotherapy-only patients, but in no Quasi-BTS patient; this difference in perforation rates alone represented a numerical trend ( P = 0.070) that did not reach the conventional threshold of statistical significance.

While this represented a numerical trend towards increased periprocedural risk with EIVOM, the RR did not reach statistical significance (RR 1.54; 95% CI 0.94–2.54; I 2 = 0%, P = 0.07) ( Figure 11A ).