Publications by Ismael calandri
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
cognitive decline covid and MRI
Demographics features of population PostCovid subjects Characteristic N = 1691 sexo female 103 (61%) male 66 (39%) edad 47 (39, 59) dias_evaluacion 172 (90, 342) escolaridad 17.00 (15.00, 18.00) caide_total 4.00 (1.00, 6.00) hospitalizacion 49 (30%) 1 n (%); Median (IQR) Cases against controls Characteristic Healthy subjects, N = 1501 post...
542 sym R (15743 sym/2 pcs) 3 img 10 tbl