Barely Significant
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a negative trend

1,767 sentences · 1,767 papers · 9,596 search hits before verification · confirmed specimen

Sighted at

p=0.09

Listed by Hankins (2013) · Otte et al. (2022)

In the literature

a negative trendP = 0.2625.2× alphagold
A significant reduction in the consumption of carbapenems both immediately and at the end of the study was also obtained (level change: −88.44 DOT/1000 PD; relative cumulative effect: −25%; 95% CI −0.41 to −0.09), but a negative trend change was observed (slope change: 1.32 DOT/1000 PD per quarter, P = 0.262).
a negative trendp value = 0.275.4× alphagold
Results showed a negative trend for recognition test baseline total ( R 2 = 0.037, p value = 0.27, 95% confidence intervals slope = −0.0017, 0.0005) and recognition test follow-up total ( R 2 = 0.088, p value = 0.09, 95% confidence intervals slope = −0.002, 0.002), but no statistical significance.
a negative trendp = 0.326.4× alphagold
A large cross-sectional study conducted on data from 2619 non-clinical subjects found a non-significant positive association between Toxoplasma seropositivity and drug addictive disorder in men (odds ratio = 3.29, p = 0.01) and a negative trend for women (odds ratio = 0.51, p = 0.32) [ 185 ].
a negative trendP = 0.3787.6× alphagold
Median DOR showed a negative trend ( r = −0.20, P = 0.378) against median OS, which may have been confounded by the negative trend ( r = −0.36, P = 0.096) observed between ORR and median DOR in the ICI-based regimens ( Supplementary Figure S1 , available at https://doi.org/10.1016/j.esmoop.2025.105754 ).
a negative trendp = 0.397.8× alphagold
The proportion of naive T cells showed a negative trend association with the 17‐item Hamilton Depression Rating Scale (HAMD‐17, r = −0.22, p = 0.39) or 16‐item Quick Inventory of Depressive Symptomology–Self‐Report (QIDS, r = −0.37, p = 0.10) scores, which was not seen in GZMH + CD8 + Tm cells (Figure 2B–D,F–H ).
a negative trendp = 0.3937.9× alphagold
For state 3, the WAB‐AQ scores showed a negative trend with both FT ( r = −0.328, p = 0.393) and MDT ( r = −0.382, p = 0.225), but the correlation was not significant. 4 Discussion The present study employed the ICA‐based sliding window technique and k ‐means clustering method to investigate alterations in dFNC and the relationship between the temporal properties of dynamic networks in patients with PSA and language dysfunction.
a negative trendP = .469.2× alphagold
In women, positive trends between the time elapsed since COVID-19 infection onset (less than 2 years) and physical health (Tau = 0.050, P = .51), mental health (0.044, P = .56), and reaction time (0.035, P = .63), with fatigue being significantly affected (Tau = 0.158, P = .039), and also a negative trend with error rates (Tau = −0.055, P = .46) were observed.
a negative trendP = 0.55211.0× alphagold
Restricted cubic spline analysis revealed a positive linear relationship for the risk of limb ischemia (linear, P = 0.006; area under the receiver operating characteristic curve of 0.75 [95% CI, 0.656–0.848]), a U-shaped trend for bleeding events (nonlinear, P = 0.214), and a negative trend for thrombotic events (linear, P = 0.552).
a negative trendp = 0.612.0× alphagold
In order to exclude the possibility that the NLR trend was due to a concurrent bacterial or fungal superinfection, we compared the rates of superinfections among patients who had a positive trend with those who had a negative trend and observed that the presence of a superinfection was not associated with a higher NLR trend at admission (χ 2 (1, N = 469) = 0.45, p = 0.6) ( Fig. 4 ).