To investigate the suitable dosage for CSA, we found that acupoints less than 5.8 may be significant in clinical treatment (SMD, −0.74, 95% CI [−1.11, −0.47], P <0.00001, I 2 =83%), intervention frequency is less than 4 times per week (SMD, −0.74, 95% CI [−1.09, −0.39], P <0.00001, I 2 =87%), and total sessions are less than 16 (SMD, −2.37, 95% CI [−2.84, −1.89], P <0.00001) may be a benefit in the clinical treatment.
For example, there may be significant life stage-specific decreases in efficacy of control under poorer sanitation regimes compared to better ones ( F = 26.0; df = 4, 1170; p < 0.0001; Figure 5 ).
Common Pitfalls When Studying Adaptive Genetic Variation The use of large SNP datasets may provide insightful information about the genetic composition of populations; however, by the very nature of being a large dataset (e.g., millions of variant sites), many statistical analyses may be significant (e.g., p < 0.001) but not necessarily biologically relevant (Sham and Purcell 2014 ; Kaler and Purcell 2019 ).
There may be significant publication bias in the included studies of CK-related liver injury ( p = 0.001). 3.8 Efficacy of other ginsenoside in liver injury In addition to the previously mentioned four ginsenoside, we also reviewed studies investigating the effects of other ginsenosides on liver injury.
That may be significant from a clinical perspective (0.07 vs. 0.04, p = 0.002).
Simple regression analyses showed that bone-specific alkaline phosphatase (BAP), TRACP-5b and alkaline phosphatase (ALP) at baseline may be significant predictors of 6-month BMD changes in both the lumbar spine (BAP: β = 0.558, p = 0.002; TRACP-5b: β = 0.611, p = 0.0005; ALP: β = 0.484, p = 0.009) and total hip (BAP: β = 0.546, p = 0.002; TRACP-5b: β = 0.482, p = 0.009; ALP: β = 0.462, p = 0.013) (Table 2 ).
Exploratory statistical analysis suggests that this negative effect may be significant when compared to the control arm ( p = 0.005 in IA2-Scented and p = 0.018 in IA3-Mirror).
Subgroup analysis results ( Table 7 ) showed that among the exercise method, ‘TRX Suspension’ and ‘Elastic Band & Kettlebell’ may be significant moderators ( P < 0.01); among exercise intensities, ‘>50% 1RM’ and ‘Body-Weight’ are significant moderators ( P < 0.01); among exercise methods, ‘Bench Press’ and ‘Muscle-Up’ may be significant moderators ( P < 0.01); among exercise experience, ‘>1 year’ has a significant activation effect ( P < 0.01).
Therefore, STC2 expression may be significant in predicting the OS in HCC patients (hazard ratio, 2.39; 95% confidence interval, 1.04–5.89; P=0.013; Table II ).
Table 3 indicates that while the physician's position and certificate may be significant factors (p=0.017 and 0.028, respectively), age, gender, hospital sectors, and experience were not factors that contributed to the level of knowledge (p=0.349, 0.200, 0.535, and 0.120, respectively).
The distribution of respondent-reported TBEs varied between canine TBDs, with LD-positive respondents reporting noticeably larger proportions of TBEs in counties with canine LD and smaller proportions in counties with canine anaplasmosis, compared to respondents without an LD diagnosis; a notional logistic regression suggests these differences may be significant (canine LD: Odds Ratio [OR] = 6.04, p = 0.026) (canine anaplasmosis: OR = 0.50, p = 0.095).
The results show that changes in FA and RD at six-month follow-up may be significant variables influencing neck pain (p = 0.033, OR 1.05 (95% CI 1.01 to 1.11); and p = 0.028, OR 1.27 (95% CI 1.03 to 1.58), respectively).
The statistical difference may be significant (if P < 0.05) and very significant ( P < 0.01).
The results of univariate logistic regression analysis showed that five complaints above and seven objective examinations, including OSDI score, CFS, TBUT, Schirmer’s test score without anesthesia, conjunctival score, tear meniscus height and non-ocular involvement organs may be significant diagnostic factors for chronic oGVHD (all p < 0.05, Supplementary Table S1 ).
The Na gained by the cell in exchange for K may then be compared with the total loss of cellular K in order to determine whether a K-Na exchange can account quantitatively for the net K efflux. For 10.5 M ouabain the excess of K lost over Na calculated as gained in ex- change for K may be significant (P < 0.05, Student t-test); for 10.6 Mouabain the two quantities do not differ significantly, and the loss of cell K is reason- ably well accounted for by an exchange with Na.
Apart from the loci mentioned above, numerous other loci were identified that may be significant ( p < 0.05, but higher than the significance threshold currently used for GWAS, which is 5 × 10 −8 ).
In addition, based on the clinical data of Table I and the survival status of patients with gastric cancer, univariate and multivariate progression analyses using Cox regression revealed that hsa_circ_0060975 (higher/lower), histological grade (poorly-signet/well-moderately) and pathological stage (III/I + II) may be significant independent factors in GC (P<0.05; Tables III and IV ), indicating the potential of hsa_circ_0060975 as a prognostic biomarker of GC and that high expression of hsa_circ_0060975 may indicate a poor prognosis for patients with GC.
Preliminary analyses suggest that some of these differences (especially in key domains such as practice management and clinical information gathering) may be significant ( p < 0.05), thereby enhancing the reliability of our comparisons.
Factors Associated With the Prognosis of TACC The results of the univariate Cox regression survival analysis indicated that lymph node status and surgery may be significant prognostic factors for TACC ( p < 0.05) (Table 3 ).
Though the correlation coefficient may be significant ( P < 0.05), it may not be important.
In prospective tests, we found that this index identified preictal changes at levels above chance in 13.2% of the patients (7/53), suggesting that results may be significant for the whole group (p < 0.05).
The significance which may be significant at * means when p < 0.05, ** means when p < 0.01, *** means when p < 0.001 and **** p < 0.0001). 3.
Cox regression analysis identified three immune cells that may be significant for the prognosis of OSCC patients ( P < 0.05).
When discussing the results of the correlations performed in our study, one must bear in mind that even though the single correlations may be significant with a p <0.05, the overall risk of a type I error (false positive result) increases with the number of correlations.
They reported promising prospective results suggesting that preictal PAC modulations may be significant for the whole group of patients (p < 0.05).