“a negative trend”

Chloride, magnesium, sodium, and selenium concentrations showed a negative trend in the HTGI group (exception: decrease in selenium ( p = 0.032)) and a positive trend in the PDI group, which resulted in significant differences in change from baseline (% A→F ) and for selenium additionally in change from baseline (% A→G ) ( Table S4 ). 3.5.

A lower frequency of more immature subpopulations expressing PD1+ was also observed within the effector response (EM Th0-1 and TEMRA pE1), as well as a negative trend in CM cells (p=0.036, q=0.159).

The neurodevelopment score showed a negative trend with BDCIPP ( β = −1.42; 95% CI = −2.70; −0.06; p -value = 0.04) and no clear association with DPHP ( β = −1.09; 95% CI = −2.87; 0.68; p -value = 0.23).

On the other hand, a negative trend emerged between beta difference and direction error ( r = −0.24, R 2 = 0.06, p = 0.044) ( Figure 4G ).

The C allele showed a negative trend for preserved FCP (FCP ≥200 pmol/L) in LADA patients (additive model, OR 1.55, 95% CI 1.01–2.38, P = 0.047), and patients carrying the GG genotype were found to be at markedly less risk for low FCP levels compared with those carrying the C allele (dominant model, OR 1.95, 95% CI 1.08–3.54, P = 0.028).

Channels demonstrating a positive trend were identified with P < 0.05 and a Mann–Whitney Z -value that was positive, whereas channels with a negative trend were identified with P < 0.05 and a Mann–Whitney Z -value that was negative.

Some amino acids, such as proline exhibited a negative trend in their concentrations among subjects with a high GRS compared to those with a low GRS ( p < 0.05) (Table 7 in S1 Appendix ).

Both MS protein abundances of ALDOA and PKM showed a negative trend with CSF lactate levels, but these trends did not reach significance ( p > 0.05) (Fig. 4 B).

Similarly, a negative trend was observed for LN SIV-RNA levels at M1 and both LNMC and PBMC TFV-dp levels at M1 (ρ <-0.37, P ≤0.05, n=21).

No statistically significant correlations were observed between pRNFL and age; however, there was a negative trend between age and TS pRNFL ( r =−0.38; p=0.05).

The analysis allowed us to assess both the general trend (positive estimates represent increases in the share of a specific sponsor category over time, while negative estimates represents a negative trend) and the statistical significance of changes over time. p -values < 0.05 were considered statistically significant. 3.

Additionally, the effect size of EOs in lowering SBP and HR also showed a negative trend with the intervention time when it was controlled within 30 min, but it was not statistically significant ( P > 0.05) ( Table 5 ). 3.7.

A negative trend between N100 amplitude and disease duration was also detected (r = −0.468, p = 0.050).

13 In our study, the size of the DCLN3(y) in the PD and AP groups showed a negative trend with age ( P < .05).

We used linear trends to categorize sites into three distinct groups based on their changes on EQR and CWM‐ DCM over time: (1) recovering sites with a positive trend (positive slope and p < 0.05), (2) stable sites with no trend ( p > 0.05), and (3) degrading sites with a negative trend (negative slope and p < 0.05).

Safety and tolerability will be assessed using a Kruskal-Wallis test to globally test for a negative trend across all 4 study treatments (two-sided P < 0.05) and, if significant, further testing will be done using a two-sided Fisher Exact test compare each potassium binder vs. the nonspecific laxative control.

As for the P trend, the SPEI index showed an increase in water availability in recent years across sites, although not significant, except for LAZ, which showed a negative trend ( P < 0.05, Fig. 2 , Supplementary Fig. 4 ).

A negative trend was observed between ASDR and AAPC (correlation coefficient (r) = –0.46; P < 0.05) and the ASR-DALYs and AAPC (r = –0.49; P < 0.05), suggesting an overestimation of mortality in high-mortality areas in 1990.

BAL neutrophil percentage was retained in the final model since it improved model fit, and, although statistical significance was not reached, a negative trend of association with the number of wins was observed ( p = 0.051).

BMI showed a negative trend decreasing chances of success by 18% per increase of one unit in BMI (p = 0.052, univariate logistic regression and Wald test, Table II ).

We also found a negative trend between transferrin levels and indirect bilirubin levels, but this did not reach statistical significance ( b = −9.18, 95% CI −18.44 to 0.08, p = 0.052, p adj = 0.475).

On the other hand, the SI was negatively associated with the middle temporal gyrus volume (β = ‐208.81, p = 0.013), with a negative trend with hippocampus volume (β = ‐56.15, p = 0.053).

When we analyzed the BCVA’s evolution in the eyes that received anti-VEGF agents, we found a negative trend but this was not statistically significant: −6.43 ± 9 letters ( p = 0.054).

The SVPR correlated positively with SCD ( p ≤ 0.01), with CAD ( p ≤ 0.01), and showed a negative trend with CND ( p = 0.06).

On the other hand, there was a significant positive correlation between the ICARS kinetic subscale and the latency of the P300 wave (r = 0.43; p = 0.017) and a negative trend between the same subscale and the amplitude of the P300 wave (r = -0.35; p = 0.06) (Fig. 3 ).