##statistiques drugcam
library(questionr)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.1 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.2 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(tableone)
library(labelled)
library(gtsummary)
library(GGally)
## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2
library(readxl)
library(effects)
## Le chargement a nécessité le package : carData
## lattice theme set by effectsTheme()
## See ?effectsTheme for details.
library(survival)
library(survminer)
## Le chargement a nécessité le package : ggpubr
##
## Attachement du package : 'survminer'
##
## L'objet suivant est masqué depuis 'package:survival':
##
## myeloma
library(ggplot2)
library(labelled)
# chargement des données
suivi_drugcam <- read_excel("Y:/fp/docs transitoires/suivi_drugcam.xlsx")
## Warning: Expecting numeric in A2083 / R2083C1: got 'PHUPCO005'
## Warning: Expecting numeric in A9994 / R9994C1: got 'PHIUC0246'
## Warning: Expecting numeric in A9995 / R9995C1: got 'LOT32000237'
## Warning: Expecting numeric in A9996 / R9996C1: got 'LOT52000237'
## Warning: Expecting numeric in A9997 / R9997C1: got 'LOT42000237'
## Warning: Expecting numeric in A9998 / R9998C1: got 'LOT62000237'
## Warning: Expecting numeric in A9999 / R9999C1: got 'LOT12000237'
## Warning: Expecting numeric in A10000 / R10000C1: got 'LOT22000237'
## Warning: Expecting numeric in A10001 / R10001C1: got 'LOT43500237'
## Warning: Expecting numeric in A10002 / R10002C1: got 'LOT63500237'
## Warning: Expecting numeric in A10003 / R10003C1: got 'LOT53500237'
## Warning: Expecting numeric in A10004 / R10004C1: got 'LOT33500237'
## Warning: Expecting numeric in A10005 / R10005C1: got 'LOT23500237'
## Warning: Expecting numeric in A10006 / R10006C1: got 'LOT13500237'
## Warning: Expecting numeric in A10007 / R10007C1: got 'LOT14000237'
## Warning: Expecting numeric in A10008 / R10008C1: got 'LOT24000237'
## Warning: Expecting numeric in A10009 / R10009C1: got 'Lot9-350PHIUC0241'
## Warning: Expecting numeric in A10010 / R10010C1: got 'Lot8-350PHIUC0241'
## Warning: Expecting numeric in A10011 / R10011C1: got 'Lot7-350PHIUC0241'
## Warning: Expecting numeric in A13726 / R13726C1: got 'PHUPCO004'
##selection d'un préparateur
celine<-filter(suivi_drugcam, c(preparateur=="celine_delrieu"))
agathe<-filter(suivi_drugcam, c(preparateur=="agathe"))
kate<-filter(suivi_drugcam, c(preparateur=="kate"))
popo<-filter(suivi_drugcam, c(preparateur=="popo"))
sand<-filter(suivi_drugcam, c(preparateur=="sand_pacher"))
celine_nov<-filter(celine, c(mois=="11"))
celine_jan<-filter(celine, c(mois=="01"))
##resumé du temps préparation par preparateur
tbl_summary(
suivi_drugcam, include = c("temps_min"),
by="preparateur",
)
| Characteristic |
a_fontanier, N = 19 |
a_grand, N = 20 |
agathe, N = 795 |
anais, N = 611 |
aurelie, N = 475 |
bastien, N = 1 |
c_combis, N = 7 |
candice, N = 1 |
cecilia, N = 1 |
celine_delrieu, N = 721 |
charlene, N = 784 |
charline, N = 451 |
charlotte, N = 962 |
charly, N = 100 |
clement, N = 16 |
coralie, N = 11 |
corentin, N = 13 |
elina, N = 14 |
elodie, N = 283 |
elsa_gota, N = 466 |
elsa_soula, N = 5 |
emma, N = 16 |
fanny, N = 114 |
farda, N = 359 |
florent, N = 8 |
guillaume, N = 1 |
jade, N = 15 |
jean_yve, N = 1,006 |
jibi, N = 569 |
joana, N = 707 |
jobo, N = 12 |
kate, N = 777 |
laeti_pou, N = 116 |
lena, N = 19 |
lesly, N = 385 |
lucie, N = 1,106 |
magali, N = 3 |
marie_b, N = 955 |
marie_v, N = 2 |
marion_p, N = 575 |
oceane, N = 712 |
olivia, N = 1 |
pauline_c, N = 30 |
popo, N = 119 |
raphaelle, N = 580 |
sand_herve, N = 4 |
sand_pacher, N = 135 |
sara_himoudi, N = 240 |
sophie_p, N = 8 |
souf, N = 6 |
sylvain, N = 30 |
vivi, N = 48 |
| temps_min |
5.73 (4.80, 8.41) |
3.11 (1.92, 5.56) |
3.29 (2.24, 4.99) |
2.49 (1.82, 3.61) |
1.63 (1.11, 2.34) |
9.14 (9.14, 9.14) |
10.09 (4.82, 24.53) |
8.24 (8.24, 8.24) |
7.05 (7.05, 7.05) |
3.40 (2.30, 4.82) |
1.90 (1.38, 2.86) |
1.89 (1.30, 2.86) |
1.98 (1.39, 3.04) |
2.73 (2.01, 3.80) |
2.92 (2.60, 3.61) |
5.17 (3.25, 6.85) |
2.72 (1.88, 4.60) |
2.45 (1.76, 3.02) |
4.40 (3.14, 6.42) |
1.83 (1.23, 2.67) |
2.36 (2.21, 6.99) |
7.46 (6.49, 10.77) |
3.56 (2.47, 6.37) |
2.79 (1.88, 4.20) |
3.25 (2.59, 7.88) |
7.94 (7.94, 7.94) |
8.37 (6.21, 10.65) |
2.10 (1.42, 3.00) |
2.18 (1.42, 3.27) |
2.76 (1.90, 3.76) |
7.96 (6.05, 14.00) |
2.39 (1.69, 3.43) |
1.55 (0.96, 2.45) |
8.78 (4.97, 10.27) |
1.65 (1.22, 2.43) |
1.91 (1.36, 2.82) |
2.28 (2.02, 4.71) |
2.12 (1.42, 3.09) |
7.49 (7.38, 7.60) |
1.87 (1.24, 2.80) |
1.83 (1.25, 2.72) |
13.28 (13.28, 13.28) |
2.78 (2.05, 5.45) |
1.74 (1.14, 2.60) |
2.62 (1.96, 3.68) |
4.58 (2.93, 6.72) |
2.09 (1.41, 3.08) |
2.15 (1.55, 3.15) |
7.23 (4.90, 8.30) |
5.47 (4.38, 6.71) |
2.44 (1.41, 4.03) |
2.19 (1.60, 3.38) |
summary(celine$temps_min)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.000 2.296 3.403 3.972 4.818 23.275
summary(agathe$temps_min)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.8325 2.2384 3.2873 4.3877 4.9896 52.5266
summary(kate$temps_min)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.000 1.695 2.389 2.854 3.431 22.658
summary(popo$temps_min)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.7009 1.1406 1.7386 2.1717 2.6027 20.3720
summary(sand$temps_min)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.8185 1.4106 2.0907 2.6201 3.0775 22.6712
##description temps preparation selon molecule
tbl_summary(
celine, include = c("temps_min"),
by="dci",
)
| Characteristic |
5fu, N = 27 |
Amsacrine, N = 1 |
Arsenic trioxyde 2mg/mL, N = 3 |
Asparaginase recombinante, N = 1 |
Atezolizumab, N = 4 |
Bendamustine, N = 3 |
Bevacizumab, N = 46 |
Bleomycine, N = 3 |
Bortezomib SC, N = 8 |
Brentuximab, N = 4 |
Busulfan injectable, N = 1 |
Cabazitaxel 20mg/mL, N = 1 |
Carboplatine, N = 31 |
Carfilzomib, N = 2 |
Cetuximab, N = 5 |
Cisplatine, N = 23 |
Cyclophosphamide, N = 49 |
Cytarabine, N = 15 |
Cytarabine INTRATHECAL, N = 2 |
Dacarbazine, N = 6 |
Daratumumab SC, N = 19 |
Daunorubicine, N = 1 |
Docetaxel, N = 7 |
Dostarlimab (s), N = 1 |
Doxorubicine, N = 26 |
Doxorubicine liposomale pegylee, N = 1 |
Doxorubicine lyophilisat, N = 1 |
Durvalumab, N = 5 |
Eculizumab, N = 5 |
Enfortumab Vedotin (s), N = 2 |
Epcoritamab (s) 60MG/ML, N = 3 |
Epirubicine, N = 20 |
Eribuline, N = 7 |
Etoposide, N = 9 |
Etoposide phosphate, N = 20 |
Fludarabine, N = 7 |
Fotemustine, N = 1 |
Ganciclovir, N = 3 |
Gemcitabine, N = 12 |
Idarubicine inject, N = 2 |
Ifosfamide, N = 13 |
Ipilimumab, N = 3 |
Irinotecan, N = 1 |
Levofolinate de Ca, N = 39 |
Lurbinectedin (s), N = 1 |
Mesna, N = 53 |
Methotrexate 100 mg/ml, N = 5 |
Methotrexate INTRATHECAL, N = 3 |
Methylprednisolone INTRATHECAL, N = 2 |
Mitomycine C EndoV (flacon 40MG), N = 1 |
Nelarabine, N = 3 |
Nivolumab, N = 4 |
Obinutuzumab, N = 5 |
Oxaliplatine, N = 4 |
Paclitaxel, N = 14 |
Paclitaxel-albumine, N = 5 |
Pembrolizumab, N = 42 |
Pemetrexed, N = 5 |
Pertuzumab, N = 6 |
Rituximab, N = 1 |
Rituximab SC, N = 2 |
Sacituzumab govitecan (s), N = 4 |
Teclistamab 90MG/ML, N = 5 |
Trabectedine, N = 2 |
Trastuzumab Sous-cutane, N = 34 |
Trastuzumab biosimilaire, N = 8 |
Trastuzumab deruxtecan, N = 13 |
Trastuzumab emtansine, N = 3 |
Vinblastine, N = 6 |
Vincristine, N = 21 |
Vinorelbine, N = 2 |
actinomycine, N = 1 |
phesgo_de, N = 21 |
thymoglobuline, N = 2 |
| temps_min |
5.15 (4.64, 5.82) |
9.63 (9.63, 9.63) |
2.61 (2.11, 3.21) |
6.06 (6.06, 6.06) |
2.31 (1.95, 2.71) |
10.67 (6.57, 10.69) |
3.24 (2.43, 4.13) |
4.56 (4.25, 4.76) |
2.40 (2.14, 3.56) |
6.55 (5.98, 7.35) |
11.27 (11.27, 11.27) |
1.50 (1.50, 1.50) |
4.01 (2.86, 4.68) |
7.31 (7.07, 7.55) |
5.62 (4.98, 6.12) |
4.09 (3.52, 5.17) |
3.18 (2.36, 4.17) |
2.97 (2.25, 4.32) |
4.69 (2.34, 7.03) |
7.06 (5.84, 8.12) |
2.26 (1.96, 2.47) |
10.23 (10.23, 10.23) |
2.72 (2.54, 3.22) |
4.43 (4.43, 4.43) |
3.32 (2.84, 4.00) |
4.11 (4.11, 4.11) |
3.97 (3.97, 3.97) |
3.46 (3.28, 3.55) |
8.23 (7.24, 9.00) |
10.45 (10.34, 10.57) |
5.80 (4.70, 7.82) |
4.53 (4.16, 5.33) |
2.94 (2.69, 3.40) |
2.48 (2.27, 2.74) |
5.22 (4.68, 7.08) |
3.63 (2.88, 3.71) |
9.87 (9.87, 9.87) |
3.02 (2.82, 3.27) |
2.61 (2.30, 2.68) |
3.22 (2.88, 3.56) |
8.11 (6.33, 9.75) |
6.66 (6.02, 7.24) |
2.63 (2.63, 2.63) |
3.58 (3.20, 4.26) |
5.69 (5.69, 5.69) |
1.81 (1.55, 2.09) |
6.51 (4.28, 8.35) |
4.29 (2.60, 5.51) |
2.01 (1.05, 2.97) |
5.07 (5.07, 5.07) |
7.65 (7.42, 8.43) |
2.25 (1.85, 2.90) |
3.44 (3.23, 4.34) |
1.80 (1.64, 1.94) |
3.54 (2.27, 3.99) |
7.68 (6.99, 7.97) |
3.36 (2.65, 4.38) |
3.02 (3.01, 3.09) |
1.81 (1.64, 2.15) |
4.62 (4.62, 4.62) |
2.57 (2.42, 2.72) |
9.85 (8.90, 10.34) |
4.68 (2.97, 4.84) |
6.62 (5.24, 7.99) |
1.81 (1.55, 2.22) |
4.20 (3.62, 5.02) |
6.74 (6.41, 7.37) |
4.78 (4.54, 5.15) |
3.27 (2.80, 4.66) |
3.48 (2.87, 3.80) |
3.47 (3.19, 3.75) |
12.06 (12.06, 12.06) |
2.11 (1.72, 2.44) |
22.54 (22.18, 22.91) |
##descriptif temps par dci
tbl_nov<-tbl_summary(
celine_nov, include = c("temps_min"),
by="dci",
)
##comparaison temps median par mois
tbl_summary(
celine, include = c("temps_min"),
by="mois",
)
| Characteristic |
01, N = 432 |
11, N = 289 |
| temps_min |
3.17 (2.26, 4.64) |
3.67 (2.51, 5.01) |
tbl_jan<-tbl_summary(
celine_jan, include = c("temps_min"),
by="dci",
)
##recap par molecule janvier vs novembre
tbl_merge(
list(tbl_nov, tbl_jan),
tab_spanner = c("**Analyse nov**", "**Analyse jan**")
)
| Characteristic |
Analyse nov
|
Analyse jan
|
| 5fu, N = 4 |
Arsenic trioxyde 2mg/mL, N = 1 |
Atezolizumab, N = 4 |
Bendamustine, N = 3 |
Bevacizumab, N = 21 |
Bortezomib SC, N = 1 |
Brentuximab, N = 2 |
Busulfan injectable, N = 1 |
Carboplatine, N = 11 |
Carfilzomib, N = 1 |
Cetuximab, N = 3 |
Cisplatine, N = 7 |
Cyclophosphamide, N = 19 |
Cytarabine, N = 4 |
Dacarbazine, N = 3 |
Daratumumab SC, N = 5 |
Daunorubicine, N = 1 |
Docetaxel, N = 3 |
Doxorubicine, N = 11 |
Doxorubicine liposomale pegylee, N = 1 |
Doxorubicine lyophilisat, N = 1 |
Eculizumab, N = 3 |
Enfortumab Vedotin (s), N = 1 |
Epcoritamab (s) 60MG/ML, N = 2 |
Epirubicine, N = 7 |
Eribuline, N = 2 |
Etoposide, N = 3 |
Etoposide phosphate, N = 5 |
Fludarabine, N = 2 |
Gemcitabine, N = 7 |
Ifosfamide, N = 7 |
Ipilimumab, N = 2 |
Irinotecan, N = 1 |
Levofolinate de Ca, N = 22 |
Mesna, N = 29 |
Methotrexate 100 mg/ml, N = 3 |
Methotrexate INTRATHECAL, N = 1 |
Nelarabine, N = 3 |
Nivolumab, N = 2 |
Obinutuzumab, N = 2 |
Oxaliplatine, N = 1 |
Paclitaxel, N = 7 |
Paclitaxel-albumine, N = 3 |
Pembrolizumab, N = 17 |
Pemetrexed, N = 2 |
Pertuzumab, N = 1 |
Rituximab SC, N = 1 |
Sacituzumab govitecan (s), N = 3 |
Teclistamab 90MG/ML, N = 1 |
Trastuzumab Sous-cutane, N = 9 |
Trastuzumab biosimilaire, N = 5 |
Trastuzumab deruxtecan, N = 5 |
Trastuzumab emtansine, N = 1 |
Vinblastine, N = 1 |
Vincristine, N = 10 |
Vinorelbine, N = 1 |
phesgo_de, N = 9 |
thymoglobuline, N = 1 |
5fu, N = 23 |
Amsacrine, N = 1 |
Arsenic trioxyde 2mg/mL, N = 2 |
Asparaginase recombinante, N = 1 |
Bevacizumab, N = 25 |
Bleomycine, N = 3 |
Bortezomib SC, N = 7 |
Brentuximab, N = 2 |
Cabazitaxel 20mg/mL, N = 1 |
Carboplatine, N = 20 |
Carfilzomib, N = 1 |
Cetuximab, N = 2 |
Cisplatine, N = 16 |
Cyclophosphamide, N = 30 |
Cytarabine, N = 11 |
Cytarabine INTRATHECAL, N = 2 |
Dacarbazine, N = 3 |
Daratumumab SC, N = 14 |
Docetaxel, N = 4 |
Dostarlimab (s), N = 1 |
Doxorubicine, N = 15 |
Durvalumab, N = 5 |
Eculizumab, N = 2 |
Enfortumab Vedotin (s), N = 1 |
Epcoritamab (s) 60MG/ML, N = 1 |
Epirubicine, N = 13 |
Eribuline, N = 5 |
Etoposide, N = 6 |
Etoposide phosphate, N = 15 |
Fludarabine, N = 5 |
Fotemustine, N = 1 |
Ganciclovir, N = 3 |
Gemcitabine, N = 5 |
Idarubicine inject, N = 2 |
Ifosfamide, N = 6 |
Ipilimumab, N = 1 |
Levofolinate de Ca, N = 17 |
Lurbinectedin (s), N = 1 |
Mesna, N = 24 |
Methotrexate 100 mg/ml, N = 2 |
Methotrexate INTRATHECAL, N = 2 |
Methylprednisolone INTRATHECAL, N = 2 |
Mitomycine C EndoV (flacon 40MG), N = 1 |
Nivolumab, N = 2 |
Obinutuzumab, N = 3 |
Oxaliplatine, N = 3 |
Paclitaxel, N = 7 |
Paclitaxel-albumine, N = 2 |
Pembrolizumab, N = 25 |
Pemetrexed, N = 3 |
Pertuzumab, N = 5 |
Rituximab, N = 1 |
Rituximab SC, N = 1 |
Sacituzumab govitecan (s), N = 1 |
Teclistamab 90MG/ML, N = 4 |
Trabectedine, N = 2 |
Trastuzumab Sous-cutane, N = 25 |
Trastuzumab biosimilaire, N = 3 |
Trastuzumab deruxtecan, N = 8 |
Trastuzumab emtansine, N = 2 |
Vinblastine, N = 5 |
Vincristine, N = 11 |
Vinorelbine, N = 1 |
actinomycine, N = 1 |
phesgo_de, N = 12 |
thymoglobuline, N = 1 |
| temps_min |
4.39 (1.89, 6.86) |
3.82 (3.82, 3.82) |
2.31 (1.95, 2.71) |
10.67 (6.57, 10.69) |
3.39 (2.89, 4.16) |
3.55 (3.55, 3.55) |
7.78 (7.35, 8.21) |
11.27 (11.27, 11.27) |
4.58 (3.64, 4.76) |
6.83 (6.83, 6.83) |
6.12 (5.45, 6.39) |
4.68 (3.48, 7.46) |
3.36 (2.45, 4.74) |
4.37 (3.36, 6.07) |
8.13 (8.10, 10.48) |
2.40 (1.96, 3.29) |
10.23 (10.23, 10.23) |
2.72 (2.63, 2.90) |
3.07 (2.42, 4.07) |
4.11 (4.11, 4.11) |
3.97 (3.97, 3.97) |
8.23 (6.24, 9.06) |
10.22 (10.22, 10.22) |
7.82 (6.81, 8.83) |
4.31 (4.18, 4.62) |
3.21 (2.84, 3.58) |
2.57 (1.98, 2.65) |
6.85 (3.96, 7.76) |
3.71 (3.70, 3.72) |
2.66 (2.61, 2.79) |
6.33 (5.17, 8.57) |
7.24 (6.95, 7.53) |
2.63 (2.63, 2.63) |
4.07 (3.52, 4.39) |
1.83 (1.60, 2.19) |
8.35 (5.25, 10.31) |
6.73 (6.73, 6.73) |
7.65 (7.42, 8.43) |
2.03 (1.77, 2.28) |
4.68 (4.51, 4.84) |
1.83 (1.83, 1.83) |
4.05 (3.59, 4.25) |
7.68 (7.33, 8.67) |
4.02 (3.53, 5.05) |
3.18 (3.10, 3.26) |
1.60 (1.60, 1.60) |
2.87 (2.87, 2.87) |
10.12 (9.85, 10.55) |
2.32 (2.32, 2.32) |
1.75 (1.55, 2.07) |
4.10 (3.65, 4.44) |
6.58 (6.41, 9.05) |
5.52 (5.52, 5.52) |
5.00 (5.00, 5.00) |
3.55 (3.02, 3.79) |
4.03 (4.03, 4.03) |
2.39 (2.11, 2.73) |
21.81 (21.81, 21.81) |
5.15 (4.74, 5.52) |
9.63 (9.63, 9.63) |
2.11 (1.86, 2.36) |
6.06 (6.06, 6.06) |
2.76 (2.27, 3.96) |
4.56 (4.25, 4.76) |
2.27 (2.12, 3.05) |
5.79 (5.59, 5.98) |
1.50 (1.50, 1.50) |
3.58 (2.64, 4.35) |
7.79 (7.79, 7.79) |
5.30 (5.14, 5.46) |
4.03 (3.67, 4.62) |
3.14 (2.29, 3.81) |
2.75 (2.25, 3.83) |
4.69 (2.34, 7.03) |
5.77 (5.36, 5.92) |
2.24 (1.98, 2.42) |
2.96 (2.44, 3.44) |
4.43 (4.43, 4.43) |
3.36 (3.04, 3.74) |
3.46 (3.28, 3.55) |
8.12 (7.68, 8.56) |
10.68 (10.68, 10.68) |
3.59 (3.59, 3.59) |
4.65 (4.16, 5.59) |
2.94 (2.91, 3.18) |
2.38 (2.27, 2.68) |
5.18 (4.77, 5.86) |
2.99 (2.77, 3.63) |
9.87 (9.87, 9.87) |
3.02 (2.82, 3.27) |
2.36 (1.99, 2.50) |
3.22 (2.88, 3.56) |
8.93 (8.00, 10.60) |
5.38 (5.38, 5.38) |
3.23 (3.08, 3.58) |
5.69 (5.69, 5.69) |
1.73 (1.48, 2.08) |
5.39 (4.83, 5.95) |
2.60 (1.75, 3.45) |
2.01 (1.05, 2.97) |
5.07 (5.07, 5.07) |
2.99 (2.48, 3.51) |
3.23 (2.90, 3.33) |
1.78 (1.51, 2.04) |
2.48 (1.89, 3.44) |
7.18 (6.78, 7.57) |
2.75 (2.54, 3.33) |
3.01 (2.79, 3.05) |
1.87 (1.74, 2.25) |
4.62 (4.62, 4.62) |
2.27 (2.27, 2.27) |
6.84 (6.84, 6.84) |
4.76 (4.25, 5.04) |
6.62 (5.24, 7.99) |
1.92 (1.61, 2.23) |
4.31 (3.91, 5.54) |
6.92 (6.27, 7.18) |
4.54 (4.42, 4.66) |
2.90 (2.76, 3.65) |
3.30 (2.66, 3.78) |
2.92 (2.92, 2.92) |
12.06 (12.06, 12.06) |
1.98 (1.69, 2.19) |
23.28 (23.28, 23.28) |