Publications by Ismael calandri
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$Age <...
16 sym R (1349 sym/9 pcs) 1 img 1 tbl
covid epidemio
Caracteristicas de los sujetos por severidad de la infeccion ## 88 observations missing `covid_severity` have been removed. To include these observations, use `forcats::fct_explicit_na()` on `covid_severity` column before passing to `tbl_summary()`. ## 88 observations missing `covid_severity` have been removed. To include these observations, use...
178 sym R (3435 sym/16 pcs) 3 tbl
vaers
v2<-VAERS %>% filter(`Neurológico`== "Yes") v2 %>% select(Headache01, Fatigue, `Dizziness/vertigo01`, sleep0disorder, `GBS/Miller0Fisher01`, ADEM01, Acute0psychosis01, Ageusia01, Anos...
10 sym R (2999 sym/3 pcs) 2 tbl
Cogvid22_9
Table 1. Demographics Characteristic Healthy control, N = 451 Covid, N = 451 p-value2 Age (y) 57 (46, 64) 50 (43, 63) 0.4 sex 0.7 Male 25 (56%) 23 (51%) Female 20 (44%) 22 (49%) Education (y) 17.00 (15.00, 18.00) 17.00 (15.00, 18.00) >0.9 CAIDE dementia score 6.00 (3.00, 7.00) 5.00 (2.00, 7.00) 0.3 1 Median (IQR); n (%) 2 ...
868 sym R (1607 sym/1 pcs) 4 img 7 tbl
metanalisis cogvid 29/12
Part 0 data correction knitr::opts_chunk$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] 26.88308 ## ## $est.sd ## [1] 3.106317 # BoxCoxestimacion del grupo no expuesto Raman,2020 bc.mean.sd(q1.val=27,med.val=28,q3.val=29,n=30) ## $es...
2432 sym R (7106 sym/17 pcs) 7 img
Dissection
Table 1. Demographics features Characteristic Overall, N = 5781 CDIE, N = 1881 EAD, N = 2391 IAD, N = 1511 p-value2 Gender 0.2 Female 244 / 578 (42%) 70 / 188 (37%) 103 / 239 (43%) 71 / 151 (47%) Male 334 / 578 (58%) 118 / 188 (63%) 136 / 239 (57%) 80 / 151 (53%) Age 46 (12) 45 (12) 47 (12) 44 (13) 0.2 Risk Factors Hypertension 171 / 578...
381 sym R (1118 sym/4 pcs) 8 tbl
CJD survival may-2022
1. Population Table 1. Demographics features Characteristic Overall, N = 701 Classic, N = 251 Cognitive, N = 191 Heidenhain, N = 151 Oppenheimer, N = 61 Undefined, N = 51 p-value2 Sex 39 (56%) 15 (60%) 12 (63%) 7 (47%) 3 (50%) 2 (40%) 0.8 Age of onset 63 (57, 71) 63 (57, 71) 63 (56, 72) 66 (60, 70) 61 (52, 67) 62 (53, 63) 0.7 MoCA 16 (13, 21) ...
682 sym R (4400 sym/10 pcs) 4 img 5 tbl
Adherencia en MS
Demograficos Hice una prueba logica para baja adherencia (<4). O sea que False=Buena adherencia y True=Baja adherencia Table 1. Subjects demographics Characteristic FALSE, N = 361 TRUE, N = 271 p-value2 edad 34 (30, 53) 42 (29, 54) >0.9 sexo 0.5 Femenino (0) 20 (67%) 13 (76%) Masculino (1) 10 (33%) 4 (24%) em_tipo 0.7 EMPP (2) 2 (6.7%) 0 (...
1451 sym R (2063 sym/2 pcs) 3 img 4 tbl
Fingers_report
Screened subjects by country Characteristic N = 7541 Data Access Group Argentina 47 (6.3%) Bolivia 57 (7.6%) Brasil UFMG 1 (0.1%) Brasil USP 26 (3.5%) Chile 98 (13%) Colombia 104 (14%) Costa Rica 90 (12%) Ecuador 54 (7.2%) Mexico 56 (7.5%) Peru 45 (6.0%) Republica Dominicana 60 (8.0%) Uruguay 113 (15%) 1 n (%) Randomized subjects by country ...
127 sym R (782 sym/2 pcs) 8 img 4 tbl