Barely Significant

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highly significantp=0.000a p-value is never exactly 0qualifiedgold
3.2 Correlation between the number of joints with US synovitis and different clinical parameters (at follow up) At follow up the number of joints with US synovitis had positive highly significant correlation with the number of swollen joints (p=0.000**), number of tender joints (p=0.000**), number of joints with clinical synovitis (p=0.000**), number of joints with LROM (p=0.006**), Ritchie AI (p=0.000**) and duration of morning stiffness (p=0.002**).
highly significantp = 0.00a p-value is never exactly 0qualifiedgold
Research in 2018 36 indicated a highly significant association (p = 0.00), and a 2023 study reported an OR of 1.36, suggesting increased complications in mothers with unplanned pregnancies. 14 Lower satisfaction with the childbirth experience and increased stress, especially among first-time mothers, may underlie this finding.
highly significantp = 0.000a p-value is never exactly 0qualifiedgold
Additionally, poor glycemic control after PCI emerged as a highly significant predictor, substantially elevating the risk of IRA‐related INOCA (HR = 13.076 [5.433–31.468], p = 0.000) in the univariate analysis.
highly significantP = 0.0000a p-value is never exactly 0qualifiedgold
Additional tests (KS, KST, Z, Snn, FST) confirmed significant population structure, with KS and Z values high for all comparisons (Clade I/II: KS = 6.79, Z = 3.19; Clade I/III: KS = 6.94, Z = 3.11; Clade II/III: KS = 6.84, Z = 3.12) and all S nn = 1.00, with highly significant P -values ( P = 0.0000), supporting strong genetic differentiation and limited gene flow among the clades ( Table 5 ).
borderline significantp = 0.0a p-value is never exactly 0gold
While there was a trend and a borderline significant difference in 30-day mortality between PSI and CURB-65 ( p = 0.0 9 , FDR-corrected), there was no significant difference in in-hospital mortality, which is similar to past studies [ 36 ].
highly significantP = 0.000a p-value is never exactly 0qualifiedgold
Employing binary logistic regression to assess the association between various potential factors and vaccine acceptance, the study revealed that out of 10 predictors, ‘safety’ and ‘efficacy’ had highly significant positive associations with vaccine acceptance in both cohorts ( P = 0.000, P = 0.005) . ‘Political roles’ was found to have varied effects– a significant ( P = 0.02) negative and a significant positive ( P = 0.002) association with vaccine acceptance in PuU and PrU students, respectively.