Publications by Niels Pacheco
SAVF meta-analysis
#setwd("/Users/nielspacheco/Dropbox/Mac/Desktop/labs/Baaj/") # Creating the dataframe Endovascular_Y1 <- data.frame( Author_year = c( "Qi, 2014", "Tsuruta, 2019", "Murphy, 2013", "Cho, 2013", "Ma, 2018", "Lee, 2015", "Durnford, 2017", "Kirsch, 2013", "Su, 2013", "Sasamori, 2015", "Yang, 2022", "Oh, 2021", "Watanabe, 2020", "Takai, 2...
31 sym R (20233 sym/24 pcs) 4 img
Meta-analysis reperfusion v2
# Creating the dataframe meta_repu_or <- data.frame( Study = c("Richardt, 2024", "Béjot, 2023", "Dicpinigaitis, 2021"), ich_c = c(8, 4, 25), ich_c_tot = c(85, 354, 180), ich_i = c(3, 0, 20), ich_i_tot = c(12, 28, 180), sich_c = c(1, NA, NA), sich_c_tot = c(85, NA, NA), sich_i = c(0, NA, NA), sich_i_tot = c(12, NA, NA), death_c ...
679 sym R (25451 sym/31 pcs) 8 img
Meta-analysis reperfusion
# Creating the dataframe meta_repu_or <- data.frame( Study = c("Richardt, 2024", "Béjot, 2023", "Dicpinigaitis, 2021"), ich_c = c(8, 4, 25), ich_c_tot = c(85, 354, 180), ich_i = c(3, 0, 20), ich_i_tot = c(12, 28, 180), sich_c = c(1, NA, NA), sich_c_tot = c(85, NA, NA), sich_i = c(0, NA, NA), sich_i_tot = c(12, NA, NA), death_c ...
679 sym R (25451 sym/31 pcs) 8 img
Adverse effects DBS vs capsullotomy
# Define the data as a string data <- " Study_ID\tsample\tAdv_Post_op\tAdv_12_mon\tAdv_long\tsubgroup Christmas 2010\t20\t19\t15\t105\tsurgery Subramanina 2016\t45\t26\t4\t0\tsurgery Josue 2019\t10\t10\t8\tNA\tsurgery Bergfeld 2016\t25\t14\tNA\tNA\tstimulation Malone 2008\t15\t3\tNA\tNA\tstimulation Dougherty 2014\t16\t7\tNA\tNA\tstimulation " # R...
30 sym R (3422 sym/8 pcs) 1 img
Cavernous aneurysm meta-analysis
———————————- ASYMPTOMATIC CAVERNOUS ANEURYSM ——————————————– # Load necessary library library(tibble) # Create the dataframe asymptomatic <- tibble::tibble( Study_ID = c("Fehrenbach et al., 2022", "Goldenberg-Cohen et al., 2003", "Junior et al., 2014", "Junior et al., 2019", "Kupersmith, 1992",...
1735 sym R (45594 sym/99 pcs) 19 img
Meta analysis of Decompressive craniotomy in LATAM
———————– 1. Meta analysis of proportions of patients with favorable Glasglow Outcome Scale at discharge after decompresive craniotomy —— tbi_1 <- read.table(text = " Study_ID number_DC DC_fav 'LacerdaGallardo 2008' 45 27 'Faleiro 2008' 89 23 'Grille 2015' 64 22 'Charry 2016' 106 70 'Lubillo 2018' 42 32 'SilvaACV 2020' 131 34 ", ...
592 sym R (10883 sym/24 pcs) 4 img
Meta analysis of DBS LATAM
—————– 1. Meta analysis of Mean difference UPDRS-3 pre and post DBS —————— parkinson_1 <- read.table(text = " Study_ID Sample Type Pre_UPDRS_3 SD_pre_u Post_UPDRS_3 SD_post_u 'Romann, 2019' 16 'UPDRS 3' 49.25 6.84 24.19 2.68 'Fagundes, 2016' 20 'UPDRS 3' 34.33 4.74 35.44 4.3 'Correiro, 2022' 30 'UPDRS 3' 16.071 9.76 11.21 6....
376 sym R (7785 sym/18 pcs) 3 img
Meta of Pediatric Aneurysmal Subarachnoid Hemorrhage
——–1. Meta analysis of proportions, by subgroup, of those who obtained good outcomes after treament (subgroup) ——— metaprop1_PAH <- read.table(text = " Study_ID Sample subgroup suc_treat complications 'Mbaye 2021' 24 'Microsurgery' 10 14 'Skoch 2017-S' 9 'Surgery' 9 0 'Skoch 2017-E' 7 'Endovascular' 7 0 'Slator 2019-S' 4 'Surgery' 4 0 '...
587 sym R (14116 sym/20 pcs) 6 img
Meta analysis of Neurocisticercosis surgical management
—————– 1. Meta-analysis of proportions of patients cured by endoscopic treatment ————————— metaprop1 <- read.table(text = " Study_ID number_ENDOS ENDOS_cured 'Bergsneider, 1999' 5 3 'Bergsneider, 2000' 10 7 'Torres-Corzo, 2006' 7 7 'Husain, 2007' 10 10 'Husain, 2007' 21 21 'Ranjan, 2014' 17 14 'Sharma, 2019' 5 0 'Aggar...
1051 sym R (25089 sym/39 pcs) 11 img
Meta-analysis example - Thrombectomy in latam
——————Meta analysis of proportions for mRS 0-2 at 3 months n(%) ——————————————— # Define the data as a text variable data_text <- "First Author\tsample\tmRS Yang 2020\t327\t119 Kiriinya 2023\t84\t25 Yang 2019\t60\t30 Cabral 2016\t31\t17 Jovin 2022\t110\t43 Luo 2023\t120\t57 Kurniawan 2024\t32\t9 Li 2023\t20...
2298 sym R (53486 sym/64 pcs) 24 img