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Table 4 Binary logistic regression; odds ratio of having recurrence detected at routine follow-up versus interval, based on key variables and individual factors

From: Exploring patterns of recurrent melanoma in Northeast Scotland to inform the introduction a digital self-examination intervention

 

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

  1. Adjusted Binary Logistic Regression; adjusted for variables we deemed could influence our values.