“…We derived and validated a robust predictive model identifying women at risk for PPH using in-depth statistical methodology. This score has the potential to improve the care of pregnant women and to take preventive actions on them.…”
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“…A total of 291 shared expressed proteins was identified and 12 proteins were finally selected between patients who attained partial response or no-response to chemotherapy when both response to therapy and time dependence (T0, T1) were considered in the statistical analysis. The protein panel included APOL1, GSN, GFI1, LCATL, MNA, LYVE1, ROR1, SHBG, SOD3, TEC, VPS18, and ZNF573. …”
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“…Patients with COVID-19 pneumonia had somewhat lower rates of being discharged from the hospital alive at 90 days (subdistribution hazard ratio, 0.83; 95% CI, 0.68 to 1.01) than those with non–COVID-19 pneumonia; however, this was not statistically significant. CONCLUSIONS AND RELEVANCE: In this study, mechanically ventilated patients with severe COVID-19 pneumonia had similar mortality rates as patients with other causes of severe pneumonia but longer times to liberation from mechanical ventilation. …”
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“…OBJECTIVE: To use large all-payer billing data and the new International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification (ICD-10-CM) code for MIS-C to compare outcomes across MIS-C and COVID-19 over all 4057 hospitals in 31 states. …”
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“…Pooled estimates found no statistically significant difference in PCSM for Black patients compared with White patients (hazard ratio [HR], 1.08 [95% CI, 0.99-1.19]; P = .08); results were similar for OS (HR, 1.01 [95% CI, 0.95-1.07]; P = .68). …”
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“…Negative correlations were confirmed between the length of pregnancy and head circumference (ρ = −0.42; p = 0.00), infant weight (ρ = −0.42; p = 0.00), infant length (ρ = −0.49; p = 0.00), shoulder width (ρ = −0.49; p = 0.00); and between the infant weight and head circumference (ρ = −0.62; p = 0.00), weight before delivery (ρ = −0.36; p = 0.00), infant length (ρ = −0.45; p = 0.00), shoulder width (ρ = −0.63; p = 0.00), and weight gain during pregnancy (ρ = −0.31; p = 0.01). We found statistically significant correlations between cigarette smoking before pregnancy and the women’s weight before delivery (ρ = 0.32, p = 0.00), and a negative correlation between the women’s ages and infant head circumference (ρ = −0.20, p = 0.02). …”
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“…NT-proBNP levels in the ARB-switch group increased from 1185.3 ± 835.6 pg/mL to 1515.2 ± 1213.5 pg/mL, although the changes were not statistically significant (p = 0.345). The %Change of increase in NT-proBNP levels was significantly greater in the ARB-switch group than the ARNI-continue group (57.9% vs. 17.3%, p = 0.016). …”
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“…The Kaplan-Meier survival curves for all-cause mortality rates did not differ significantly between the two groups (log rank 3.404, p = 0.065). There were no statistically significant differences between OMT and PCI groups in all five SAQ domains. …”
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“…Patient self-reported productivity in the efficacy-evaluable population was assessed at weeks 2, 4, and 8 using the Work Productivity and Activity Impairment Questionnaire-Specific Health Problem version 2.0. Statistical significance for the two doses versus vehicle was calculated using an analysis of covariance. …”
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“…P values less than or equal to 5% indicated statistically significant results. RESULTS: Fifty studies were included in the final analysis. …”
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“…In terms of GMFM, for dimension D (GMFM-D), there was no statistical difference between each comparison; for dimension E (GMFM-E), RAGT [MD = 10.45, 95% CI (2.51, 18.40), P < 0.05] was significantly more effective than CON. …”
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“…Among applied machine learning methods, Multilayer Perceptron (MLP) (28%) and K-Nearest Neighbors (KNN) (86%) achieved the lowest and highest accuracy rates, respectively. Statistical tests showed a significant difference between the means of the two methods developed in this study and several machine learning methods (p-value < 0.05). …”
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“…RESULTS: Conditions with the largest statistically significant total HRQoL impairments of having a specific condition compared with not having the condition were recurrent chest pain, autism, epilepsy, anxiety/depression, irritable bowel, recurrent back pain, recurrent abdominal pain, and attention deficit hyperactivity disorder (ADHD) for the total sample (2–18 years). …”
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“…All data obtained were analyzed statistically using a one-way analysis of variance. The results indicate that IM injection of EPS-MHA2 vaccine significantly enhanced the immune response against MHA2. …”
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“…The intervention had no statistically significant effect on adherence or viral suppression. …”
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“…The momentum pressure recovery distance and the turbulent energy dissipation distance showed no statistical difference (mean difference of 2.8 ± 5.4 mm, R(2) = 0.93) in the second phantom workbench. …”
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“…RESULTS: The mean age of 37 participants (16 males and 21 females) included into statistical analysis was 57.78 ± 7.39 years, the mean BMI was 31.30 ± 7.51. …”
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“…Meta-analyses in random effect models and exploratory analysis of subgroups showed high heterogeneity (I(2) statistic > 95.0%). We hence refrained from pooling, and estimated yields and coverage with corresponding 95% confidence intervals (CIs), stratified by country, legal character (mandatory versus voluntary screening), and follow-up scheme (one-off versus repetitive screening) using forest plots for comparison and synthesis. …”
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“…Univariate analysis revealed that the age, pre-pregnancy body mass index (BMI), weight gain during pregnancy, APO-B/APO-A1 between LGA group and appropriate-for-gestational-age (AGA) group were significantly different (P < 0.05); multivariate stepwise logistic regression analysis indicated that the correlation between maternal age, pre-pregnancy BMI, weight gain during pregnancy, APO-B/APO-A1 level and LGA were statistically significant (P < 0.05); compared with the reference range of APO-B/APO-A1 of 0.46–0.65, values < 0.46 and > 0.65 were protective factor of LGA (P < 0.05). …”
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“…CONCLUSIONS: The mean values of binocular visual function among young Taiwanese adults were statistically different from traditional normative values. …”
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