Further, we have confirmed this association with a meta-analysis that includes seven published patient cohorts; while the association is relatively modest and somewhat less than that reported for SLE (OR 1.47, 95% confidence interval 1.13 to 1.92), it is highly significant ( P = 0.004).
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In regards to the TNF-α:IGF ratio, age was a highly significant predictor of the differences in this catabolic:anabolic ratio outcome (p = 0.004) in this study.
After combining the two transect probabilities by Fisher's method, overall genetic isolation by temporal distance was highly significant ( P = 0.004).
In contrast, the ratio of SM resistant in non-Beijing genotype (32.4%) was higher than that of Beijing (27.9%), the difference of which was highly significant (χ 2 = 8.26, P = 0.004).
In Mossi ethnic group we noted that the CD3 + Panγδ + proportion remains stable through the season, whereas in Fulani ethnic group the proportion of these cells was double of that measured in Mossi ethnic group at the low transmission season and this difference was highly significant ( p = 0.004) (Figure 5 ) and remained significant during the high transmission season ( p = 0.04).
Our results indicate a clear trend of decreasing adherence with increasing age (p = 0.004, r = -0.195).
This difference was highly significant ( p = 0.004).
Over the period of observation, there was a significant trend of falling breast-cancer-related mortality in the 50+ age group ( p = 0.004), as well as overall ( p < 0.001).
An ANOVA on the combined data revealed a highly significant overall effect of early life intervention (F = 9.714, p = 0.004), but no overall sex effect (F = 0.034, p = 0.856).
The differences in correlation with positive and negative scores for MEM and LZP, respectively, were highly significant ( P = 0.004; Fig. 7E ), demonstrating the specificity of these effects.
A highly significant relationship between the scores obtained by two methods was also observed ( P =0.004).
In addition, the children of the MIPAS-Family group reported highly significant reductions of the headache frequencies (Pre–Post 1: z = −2.841, p = .004; Pre–Post 2: z = −3.126, p = .002), whereas the children of the Biofeedback group only showed a significant improvement for the Pre–Post 1 comparison ( z = −2.333, p = .02).
In models adjusted for age, study site, smoking, BMI, weight, waist, and urinary creatinine, the BPA association with total testosterone levels was highly significant (β = 0.046; 95% CI, 0.015–0.076; p = 0.004; Table 3 ).
There was an increasing trend for the Lawani index of authors, AAGR = 9.4%, p = .004, as of affiliations, AAGR = 11.2%, p = .002 and of countries, AAGR = 6.8%, p = .002.
The effect remained highly significant when data from all populations were combined, though absolute estimates of α were slightly lower (immune: α = 58%; non-immune: α = 33%; p = 0.004; Figure S10 ).
Extent of depletion was not correlated with the magnitude of the SCR difference score in the acquisition phase ( r (27) = 0.210, p = 0.294); however, there was a highly significant correlation between greater depletion and a more pronounced reversal learning deficit ( r (27) = −0.536, p = 0.004), depicted in Fig. 5 .
Univariate analysis shows a highly significant survival difference in favour of the HRT-treated group ( P =0.004).
However, differences between DFS, OS and CSS for the two age groups remained highly significant when only those patients treated since 1990 were analysed ( P =0.004, <0.001 and <0.001, respectively).
This effect of alcohol was highly significant in males (P=0.004) but not in females (P=0.23).
There was a better relapse-free survival in the groups receiving chemotherapy compared to radiotherapy alone (P = 0.05), which was highly significant in a multivariate Cox analysis (P = 0.004).
As shown in Table 4 , U/S tendon thickness at different scanning locations showed a highly significant correlation with pain severity ( r = 0.752, P = 0.004) as determined by VAS.
Results: Dermoscopy showed a nominally significant shift toward smaller vessel diameter categories after therapy (ATS = 8.183, df = 1, p = 0.004).
Composite lifestyle score The lifestyle composite interaction with negative affect showed a near-significant effect (β = 0.188, p = .004, p(FDR) = 0.053), with a numerically larger effect size than protein intake alone (β = 0.124).
We tested drug-drug interactions for three pairs: KP372-1 + rucaparib, KP372-1 + olaparib, and KP372-1 + talazoparib, all of which showed highly significant effect of synergy (η = 0.472, P = 0.004; η = 0.453, P = 0.002; η = 0.613, P = 0.009, respectively).
Specifically, WT mice performance showed a highly significant negative correlation with weight ( P = 0.004), and APP/PS1 KI mice showed a similar pattern that did not reach statistical significance ( P = 0.052).