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Alive (N=134) |
Melanoma death (N=57) |
Non-melanoma death (N=14) |
Overall (N=205) |
|
---|---|---|---|---|
factor(sex) | ||||
0 | 91 (67.9%) | 28 (49.1%) | 7 (50.0%) | 126 (61.5%) |
1 | 43 (32.1%) | 29 (50.9%) | 7 (50.0%) | 79 (38.5%) |
age | ||||
Mean (SD) | 50.0 (15.9) | 55.1 (17.9) | 65.3 (10.9) | 52.5 (16.7) |
Median [Min, Max] | 52.0 [4.00, 84.0] | 56.0 [14.0, 95.0] | 65.0 [49.0, 86.0] | 54.0 [4.00, 95.0] |
factor(ulcer) | ||||
0 | 92 (68.7%) | 16 (28.1%) | 7 (50.0%) | 115 (56.1%) |
1 | 42 (31.3%) | 41 (71.9%) | 7 (50.0%) | 90 (43.9%) |
thickness | ||||
Mean (SD) | 2.24 (2.33) | 4.31 (3.57) | 3.72 (3.63) | 2.92 (2.96) |
Median [Min, Max] | 1.36 [0.100, 12.9] | 3.54 [0.320, 17.4] | 2.26 [0.160, 12.6] | 1.94 [0.100, 17.4] |
This table (used package 'gtsummary') can be displayed in HTML and in word with most of the layout format elements.
Characteristic | Alive, N = 134 (65%) |
Melanoma death, N = 57 (28%) |
Non-melanoma death, N = 14 (6.8%) |
Overall, N = 205 |
---|---|---|---|---|
Sex | ||||
0 | 91 / 134 (67.910%) | 28 / 57 (49.123%) | 7 / 14 (50.000%) | 126 / 205 (61.463%) |
1 | 43 / 134 (32.090%) | 29 / 57 (50.877%) | 7 / 14 (50.000%) | 79 / 205 (38.537%) |
Age | ||||
Mean (SD) | 50 (15.92) | 55 (17.91) | 65 (10.90) | 52 (16.67) |
Range | 4, 84 | 14, 95 | 49, 86 | 4, 95 |
Ulcer | ||||
0 | 92 / 134 (68.657%) | 16 / 57 (28.070%) | 7 / 14 (50.000%) | 115 / 205 (56.098%) |
1 | 42 / 134 (31.343%) | 41 / 57 (71.930%) | 7 / 14 (50.000%) | 90 / 205 (43.902%) |
thickness | ||||
Mean (SD) | 2 (2.33) | 4 (3.57) | 4 (3.63) | 3 (2.96) |
Range | 0, 13 | 0, 17 | 0, 13 | 0, 17 |
Table 1: basic descriptive stat table 1
Characteristic | N = 2001 |
---|---|
Chemotherapy Treatment | |
Drug A | 98 (49.00%) |
Drug B | 102 (51.00%) |
Age | 47 (38, 57) |
Unknown | 11 |
Grade | |
I | 68 (34.00%) |
II | 68 (34.00%) |
III | 64 (32.00%) |
Tumor Response | 61 (31.61%) |
Unknown | 7 |
1
Statistics presented: n (%); Median (IQR)
|
Table 2: basic descriptive stat by treatment and overall
Characteristic | Drug A, N = 98 (49%) |
Drug B, N = 102 (51%) |
Overall, N = 200 |
---|---|---|---|
Age | |||
Mean (SD) | 47 (14.71) | 47 (14.01) | 47 (14.31) |
Range | 6, 78 | 9, 83 | 6, 83 |
Unknown | 7 | 4 | 11 |
Tumor Grade | |||
I | 35 / 98 (35.71%) | 33 / 102 (32.35%) | 68 / 200 (34.00%) |
II | 32 / 98 (32.65%) | 36 / 102 (35.29%) | 68 / 200 (34.00%) |
III | 31 / 98 (31.63%) | 33 / 102 (32.35%) | 64 / 200 (32.00%) |
Tumor Response | 28.0 / 95.0 (29.474%) | 33.0 / 98.0 (33.673%) | 61.0 / 193.0 (31.606%) |
Unknown | 3 | 4 | 7 |
Table 3: basic test
Variable | N | Drug A, N = 981 | Drug B, N = 1021 | p-value2 |
---|---|---|---|---|
Age | 189 | 46 (37, 59) | 48 (39, 56) | 0.7 |
Grade | 200 | 0.9 | ||
I | 35 (35.71%) | 33 (32.35%) | ||
II | 32 (32.65%) | 36 (35.29%) | ||
III | 31 (31.63%) | 33 (32.35%) | ||
Tumor Response | 193 | 28 (29.47%) | 33 (33.67%) | 0.6 |
1
Statistics presented: Median (IQR); n (%)
2
Statistical tests performed: Wilcoxon rank-sum test; chi-square test of independence
|
Table 4: logistic regression result
Characteristic | OR1 | 95% CI1 | p-value |
---|---|---|---|
Chemotherapy Treatment | |||
Drug A | — | — | |
Drug B | 1.13 | 0.60, 2.13 | 0.7 |
Age | 1.02 | 1.00, 1.04 | 0.10 |
Grade | |||
I | — | — | |
II | 0.85 | 0.39, 1.85 | 0.7 |
III | 1.01 | 0.47, 2.15 | >0.9 |
1
OR = Odds Ratio, CI = Confidence Interval
|
Table 5: Result from logistic and Cox regression side by side table
Characteristic | Tumor Response | Time to Death | ||||
---|---|---|---|---|---|---|
OR1 | 95% CI1 | p-value | HR1 | 95% CI1 | p-value | |
Chemotherapy Treatment | ||||||
Drug A | — | — | — | — | ||
Drug B | 1.13 | 0.60, 2.13 | 0.7 | 1.30 | 0.88, 1.92 | 0.2 |
Age | 1.02 | 1.00, 1.04 | 0.10 | 1.01 | 0.99, 1.02 | 0.3 |
Grade | ||||||
I | — | — | — | — | ||
II | 0.85 | 0.39, 1.85 | 0.7 | 1.21 | 0.73, 1.99 | 0.5 |
III | 1.01 | 0.47, 2.15 | >0.9 | 1.79 | 1.12, 2.86 | 0.014 |
1
OR = Odds Ratio, CI = Confidence Interval, HR = Hazard Ratio
|
You can also embed plots, for example:
Figure 1: a forest plot based on table 4
Figure 2: Forest plot with table
plotly pakcage cannot display inside of Rstudio to show interactive plot( but can be displayed in HTML output) need to install extra js to knit into WORD But no interactive plot in WORD
#install.packages("webshot")
#webshot::install_phantomjs()
library(plotly)
ggplotly(p)
Kaplan-Meier plot based on the same dataset