Table 4.
Binary logistic regression; odds ratio of having recurrence detected at routine follow-up versus interval, based on key variables and individual factors
| Odds ratio: |
95% CI for odds ratio: |
||
|---|---|---|---|
| Lower | Upper | ||
|
Time to recurrence
(< 1 year)
|
3.433 |
1.340 |
8.796 |
| Gender (male) |
1.295 |
.486 |
3.449 |
| Age (>65 years) |
1.351 |
.518 |
3.523 |
| Melanoma type |
|
|
|
|
(Nodular vs. superficial) |
.842 |
.274 |
2.586 |
|
(Lentigo vs. superficial) |
.632 |
.088 |
4.532 |
|
(Acral vs. superficial) |
1.684 |
.162 |
17.516 |
|
(Other vs. superficial) |
.842 |
.267 |
2.660 |
| Breslow thickness (Thicker (>4 mm)) |
1.667 |
.694 |
4.004 |
| Rurality (Urban) |
1.286 |
.539 |
3.067 |
| Deprivation (Deprived) |
1.750 |
.548 |
5.591 |
|
Adjusted binary logistic regression: | |||
|
Time to recurrence |
2.891 |
1.082 |
7.720 |
| Age |
1.714 |
.666 |
4.415 |
| Breslow thickness |
1.443 |
.573 |
3.635 |
| Rurality |
1.377 |
.527 |
3.596 |
| Deprivation | 1.626 | .454 | 5.816 |
Adjusted Binary Logistic Regression; adjusted for variables we deemed could influence our values.