Barely Significant
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a clear trend

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p<0.09

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

In the literature

a clear trendp = 0.0861.7× alphagold
35/159, 22.0%, p = 0.002), and alopecia ( p = 0.001), while other symptoms, such as exertional dyspnoea, did not reach statistical significance, albeit showing a clear trend towards higher frequency in female patients compared to male patients (103/159, 64.8% vs. 87/159, 54.7%, respectively p = 0.086).
a clear trendp = 9.1 × 10 −21.8× alphagold
These ML B2/PNI− tumors had a significantly worse disease-specific survival (DSS, HR = 2.288, p = 3.8 × 10 −2 ) and showed a clear trend towards unfavorable overall survival (OS, HR = 1.711, p = 9.1 × 10 −2 ) and progression-free interval (PFI, HR = 1.669, p = 1.1 × 10 −1 ) compared to ML A/PNI− tumors ( Figure 3 D).
a clear trendP = 0.10872.2× alphagold
There is a clear trend suggesting that diabetes exacerbates cognitive dysfunction in schizophrenia (global cognition: SMD=−0.26; P = 0.1087; 95% CI, −0.59 to 0.08), particularly in domains such as reasoning (SMD=−0.40; P = 0.0109, 95% CI −0.58 to -0.22) and processing speed (SMD=−0.43; P = 0.0005, 95% CI −0.52 to −0.35).
a clear trendp = 0.2284.6× alphagold
CD79B Y196 mutation also showed a clear trend toward better PFS and OS, although the difference was not statistically significant (PFS: HR = 0.54 [95% CI, 0.18 – 1.69], p = 0.228, OS: HR = 0.27 [95% CI, 0.08 – 0.95], p = 0.064) (Figure S3 ). 3.4 Rapid genotyping of MYD88 L265P and CD79B Y196 mutations by i‐densy We suggest that CD79B Y196 mutation is not only a reliable diagnostic marker combined with MYD88 L265P mutation but also a predictive factor for response to R‐MPV.
a clear trendP-value = 0.306.0× alphagold
A clear trend was detected showing higher GPC for the T allele of TDsat2.i1.1 ( Supplementary Figure 8 , Supplementary Table 2 ; P-value = 0.30).The A-allele of the KASP marker TDsat2.e9.1 was greatly underrepresented; thus, its effect cannot be assessed using this panel. 3.4 sat2 is predominantly expressed in grains Comparative transcriptomics approaches are crucial in transferring biological information, particularly conserved gene functions from better-studied species ( Zuluaga et al., 2023 ).