Author: Asiri, Safiyyah; Altwaijri, Waleed A; Ba-Armah, Duaa; Al Rumayyan, Ahmed; Alrifai, Muhammad T; Salam, Mahmoud; Almutairi, Adel F
Title: Prevalence and outcomes of Guillain-Barré syndrome among pediatrics in Saudi Arabia: a 10-year retrospective study Document date: 2019_3_1
ID: v2usjklm_7
Snippet: The SPSS version 25 (IBM Corporation, Armonk, NY, USA) was used for data analysis. Frequency and percentages were used to describe categorical variables, whereas the mean ± standard deviation was used to present continuous variables. Age was categorized into two groups at the cutoff of 7 years (50th percentile of sample). Testing the two clinical outcomes (progression to maximum paralysis within 2 weeks and residual paralysis at 60 days) across .....
Document: The SPSS version 25 (IBM Corporation, Armonk, NY, USA) was used for data analysis. Frequency and percentages were used to describe categorical variables, whereas the mean ± standard deviation was used to present continuous variables. Age was categorized into two groups at the cutoff of 7 years (50th percentile of sample). Testing the two clinical outcomes (progression to maximum paralysis within 2 weeks and residual paralysis at 60 days) across various patient disease characteristics was conducted using Pearson's chi-square and Fisher's exact test as applicable. Two binary logistic regression models were constructed to adjust for any confounding effect between gender, age, and antecedent infections to identify the variables significantly associated with these two clinical outcomes. Accordingly, the adjusted OR and the 95% CI were presented with statistical significance set at P,0.05.
Search related documents:
Co phrase search for related documents- applicable exact test and exact test: 1, 2, 3, 4, 5
- applicable exact test and logistic regression: 1
- binary logistic regression model and clinical outcome: 1, 2, 3
- binary logistic regression model and exact test: 1, 2, 3, 4, 5, 6
- binary logistic regression model and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- binary logistic regression model and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- categorical variable and clinical outcome: 1
- categorical variable and continuous variable: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
- categorical variable and exact test: 1, 2, 3, 4, 5
- categorical variable and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
- categorical variable and logistic regression model: 1
- clinical outcome and continuous variable: 1
- clinical outcome and exact test: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
- clinical outcome and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- clinical outcome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- clinical outcome test and exact test: 1, 2
- continuous variable and exact test: 1, 2, 3, 4, 5, 6
- continuous variable and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22
- continuous variable and logistic regression model: 1, 2, 3
Co phrase search for related documents, hyperlinks ordered by date