Publications by Ismael calandri
TGA meta v2
###data tidy#### data$`Recurrence as a main outcome`<-factor(data$`Recurrence as a main outcome`, levels = c(0,1), labels = c("No", "Yes")) library(expss) ## ## Attaching package: 'expss' ## The following objects are masked from 'package:dplyr': ## ## between, compute, contains, first...
820 sym R (99459 sym/115 pcs) 27 img
Enfermería
Características de los ingresos a ambas sedes Characteristic Belgrano, N = 1461 Escobar, N = 101 age 44 (13, 69) 47 (22, 67) sex Hombre 82 (56%) 5 (50%) Mujer 64 (44%) 5 (50%) Otro 0 (0%) 0 (0%) unidad_ingreso_belgrano Guardia 18 (12%) 0 (NA%) Piso/UIT 72 (49%) 0 (NA%) UTI ad 5 (3.4%) 0 (NA%) UTI Ped 15 (10%) 0 (NA%) UCO 18 (12%) 0 (...
439 sym 10 img 3 tbl
TGA metanalisys extended
###data tidy#### data$`Recurrence as a main outcome`<-factor(data$`Recurrence as a main outcome`, levels = c(0,1), labels = c("No", "Yes")) library(expss) ## ## Use 'expss_output_rnotebook()' to display tables inside R Notebooks. ## To return to the console output, use 'expss_output_defaul...
346 sym R (49814 sym/79 pcs) 24 img
TGA2
## ## Use 'expss_output_rnotebook()' to display tables inside R Notebooks. ## To return to the console output, use 'expss_output_default()'. ## ## Attaching package: 'expss' ## The following objects are masked from 'package:dplyr': ## ## between, compute, contains, first, last, na_if, recode, vars Prevalence metanalysis Outliers an...
275 sym R (5270 sym/8 pcs) 24 img
Epilepsy
data$N_daes<-as.numeric(data$N_daes) data$EEG_pre<-as.factor(data$IctalEEG_pre) data %>% select(Edad_InicioEPI, Duracion_epi, N_daes, CTCG_2ria, Crisis_febriles, Complic_perinatales, TEC, Infeccion_cerebral, Status_ep, frec_c...
7 sym R (1198 sym/1 pcs) 1 tbl
metanalisis cogvid 29/12 sin outlier
Part 0 data correction knitr::opts_chunk$set(echo = T) library(estmeansd) # BoxCox estimacion del grupo expuesto Raman,2020 bc.mean.sd(q1.val=25,med.val=27,q3.val=29,n=59) ## $est.mean ## [1] 27.11934 ## ## $est.sd ## [1] 3.154434 # BoxCoxestimacion del grupo no expuesto Raman,2020 bc.mean.sd(q1.val=27,med.val=28,q3.val=29,n=30) ## $es...
1944 sym R (3274 sym/11 pcs) 4 img
Cirterios y conteo
library(readxl) library(tidyverse) evaluaciones_cognitivas <- read_excel("evaluaciones_cognitivas.xlsx") evaluaciones_cognitivas$RAVLT_dif-> evaluaciones_cognitivas$CERAD_dif base<-evaluaciones_cognitivas %>% filter(Data_type == "PN") base$MMSE<-as.numeric(base$MMSE) base$CERAD_dif<-as.numeric(base$CERAD_dif) base$criterio_edad<-base$Age <...
16 sym R (1349 sym/9 pcs) 1 img 1 tbl
covid epidemio
Caracteristicas de los sujetos por severidad de la infeccion ## 88 observations missing `covid_severity` have been removed. To include these observations, use `forcats::fct_explicit_na()` on `covid_severity` column before passing to `tbl_summary()`. ## 88 observations missing `covid_severity` have been removed. To include these observations, use...
178 sym R (3435 sym/16 pcs) 3 tbl
vaers
v2<-VAERS %>% filter(`Neurológico`== "Yes") v2 %>% select(Headache01, Fatigue, `Dizziness/vertigo01`, sleep0disorder, `GBS/Miller0Fisher01`, ADEM01, Acute0psychosis01, Ageusia01, Anos...
10 sym R (2999 sym/3 pcs) 2 tbl
Cogvid22_9
Table 1. Demographics Characteristic Healthy control, N = 451 Covid, N = 451 p-value2 Age (y) 57 (46, 64) 50 (43, 63) 0.4 sex 0.7 Male 25 (56%) 23 (51%) Female 20 (44%) 22 (49%) Education (y) 17.00 (15.00, 18.00) 17.00 (15.00, 18.00) >0.9 CAIDE dementia score 6.00 (3.00, 7.00) 5.00 (2.00, 7.00) 0.3 1 Median (IQR); n (%) 2 ...
868 sym R (1607 sym/1 pcs) 4 img 7 tbl