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. 2021 Jun 7;13(11):2838. doi: 10.3390/cancers13112838

Trend Shifts in Age-Specific Incidence for In Situ and Invasive Cutaneous Melanoma in Sweden

Hanna Eriksson 1,2,*, Kari Nielsen 3,4,5, Ismini Vassilaki 6, Jan Lapins 7,8, Rasmus Mikiver 9,10, Johan Lyth 11, Karolin Isaksson 12,13,*
Editor: Eduardo Nagore
PMCID: PMC8201382  PMID: 34200396

Abstract

Simple Summary

The incidence of invasive cutaneous melanoma (CM) is increasing in Sweden. The aim was to present age- and sex-specific trends of the age-standardised incidence and the average annual percentage change (AAPC) for in situ and invasive CM by analysing data obtained from the Swedish Melanoma Register and the Swedish Cancer registry for 35,350 in situ tumours and 59,932 CM. Trend shifts in age-specific incidence for in situ and invasive CM reflect a rise among both sexes since the 2000s and could be a result of more effective secondary prevention efforts and a higher awareness of CM.

Abstract

Background: The incidence of invasive cutaneous melanoma (CM) is increasing in Sweden. The aim was to present age- and sex-specific trends of the age-standardised incidence and the average annual percentage change (AAPC) for in situ and invasive CM. Methods: Joinpoint regression models were used to analyse data from the Swedish Cancer Register and the Swedish Melanoma Registry 1997–2018 (N = 35,350 in situ CM; 59,932 CM). Results: The AAPC of CM for women was 4.5 (4.1–5.0; p < 0.001) for the period 1997–2018. For men, the APCC was 4.2 (3.0–5.4; p < 0.001), with a significantly higher annual percentage change (APC) for the period 2000–2018 (5.0; 4.6–5.4; p < 0.001) compared to 1997–1999. An increasing annual incidence of CM ≤ 0.6 mm and 0.7 mm Breslow tumour thickness was found for men with a significant incidence shift for the period 2006–2015, respectively. Similarly for women, with a significantly higher APC for CM ≤ 0.6 mm from 2005. The incidence of intermediate thick CM (2.1–4.0 mm) has not increased since 2011. The incidence of CM > 4.0 mm has been increasing among both sexes, with a significantly lower APC among women from 2005. Conclusions: The incidence of in situ and low-risk CM ≤ 1.0 mm in tumour thickness has been rising among both sexes since the 2000s.

Keywords: cutaneous melanoma, age-specific incidence, trend shifts, joinpoint, average annual percentage change

1. Introduction

The incidence of invasive cutaneous melanoma (CM) is increasing in Sweden as in the majority of the Western countries with fair-skinned populations, e.g., North America, Northern Europe, Australia and New Zealand [1,2]. The highest incidence rates world-wide have been reported from Australia and New Zealand [3,4]. In Australia, the age-standardised incidence rates in 2018 were 40.4/100,000 cases per year for men and 27.5/100,000 cases per year for women [1]. In all European countries, the incidence rates of CM have increased since the 1950s, with an estimated annual increase of 3–7% over the past decades [5,6]. The incidence rates within Europe vary between countries, with the highest incidence rates found in the western parts of Northern Europe, with incidence rates of 15.0–29.6/100,000 per year [1,5,6,7]. Sweden, Norway and Denmark are the countries with the highest incidence for women in Europe, ranging from 26.2 to 33.1/100,000 per year; these rates are now in the same order of magnitude as those for women in Australia and New Zealand. The incidence rates for men in the same countries are not far behind, with incidence rates of 22.4 to 29.0/100,000 per year. The CM incidence is also increasing in the US population, with an age-standardised incidence rate of 14.9/100,000 per year for men and 11.0/100,000 per year for women [1].

Ultraviolet (UV) radiation is the main risk factor for CM, and an increased UV exposure has mainly contributed to the observed increase in CM incidence world-wide [8,9,10,11]. Different population-based prevention approaches have therefore been implemented to reduce skin cancer incidence. In Australia, the public education to increase the awareness of early CM began in Queensland as early as the 1960s, and these efforts were eventually expanded to include primary prevention through sun protection [10,12,13,14]. In Australia, a recent stabilisation in invasive CM incidence has been observed, which is probably attributed to a decline in younger birth cohorts (4). However, in Europe, no declining incidence shift has been observed [7,15,16,17,18]. Instead, the increase in incidence of both in situ and invasive CM is a considerable burden to public health, and the annual costs of CM management within health care are substantial [19,20,21]. These challenges of CM prevention and care emphasise the continued need for population-based epidemiologic surveillance.

In this report, we present age- and sex-specific trends of the age-standardised incidence and the average annual percentage change (AAPC) for in situ and invasive CM between 1997 and 2018 by using population-based registries: the Swedish Cancer Register (SCR) for in situ CM, and the Swedish Melanoma Registry (SweMR) for information on invasive CM.

2. Results

In total, 35,350 in situ CM were recorded between 1997 and 2018 in Sweden: 18,110 (51.2%) cases among women and 17,240 cases (48.8%) among men (Table 1).

Table 1.

Clinico-pathological characteristics of in situ and invasive cutaneous melanomas (CM) diagnosed in Sweden, 1997–2018.

Clinico-Pathological Characteristics All CM N (%) CM in Women N (%) CM in Men N (%)
In situ CM 35,350 18,110 (51.2) 17,240 (48.8)
Age (median IQR) 67.0 (55.0; 76.0) 65.0 (52.0; 75.0) 69.0 (59.0; 77.0)
Age group
<50 years 6585 (18.6) 4220 (23.3) 2365 (13.7)
50–70 years 14,413 (40.8) 7200 (39.8) 7213 (41.8)
>70 years 14,352 (40.6) 6690 (36.9%) 7662 (44.4)
Invasive CM 59,932 29,503 (49.2) 30,429 (50.8)
Age (median IQR) 65.0 (51.0; 75.0) 62.0 (48.0; 75.0) 67.0 (55.0; 76.0)
Age group (years)
<50 14,100 (23.5) 8607 (29.2) 5493 (18.1)
50–70 23,866 (39.8) 11,104 (37.6) 12,762 (41.9)
>70 21,965 (36.7) 9792 (33.2) 12,173 (40.0)
Breslow tumour thickness (mm; median IQR) 0.90 (0.50; 2.00) 0.8(0.5; 1.70) 1.00 (0.5; 2.2)
Ulceration status
Absent 42,895 (71.6) 21,471 (72.8) 21,424 (70.4)
Present 10,702 (17.9) 4749 (16.1) 5953 (19.6)
Missing 6335 (10.6) 3283 (11.1) 3052 (10.0)
Histopathologic subtype
SSM 36,649 (61.2) 18,445 (62.5) 18,204 (59.8)
NM 4100 (6.8) 2024 (6.86) 2076 (6.82)
LM 9548 (15.9) 4194 (14.2) 5354 (17.6)
ALM 667 (1.1) 402 (1.4) 265 (0.9)
Other 7281 (12.1) 3590 (12.2) 3691 (12.1)
Missing 1687 (2.8)
T-stage
TX 2015 (3.4) 1055 (3.6) 960 (3.2)
T1 2032 (3.4) 1117 (3.8) 915 (3.0)
T1a 21,352 (35.6) 11,118 (37.7) 10,234 (33.6)
T1b 9450 (15.8) 4755 (16.1) 4695 (15.4)
T2 1046 (1.8) 540 (1.8) 506 (1.7)
T2a 8298 (13.8) 4017 (13.6) 4281 (14.1)
T2b 2046 (3.4) 990 (3.4) 1056 (3.5)
T3 622 (1.0) 281 (1.0) 341 (1.4)
T3a 3674 (6.1) 1699 (5.8) 1975 (6.5)
T3b 3260 (5.4) 1365 (4.6) 1895 (6.2)
T4 408 (0.68) 167 (0.6) 241 (0.8)
T4a 1796 (3.0) 743 (2.5) 1053 (3.5)
T4b 3933 (6.6) 1656 (5.6) 2277 (7.5)

CM: Cutaneous Melanoma. IQR: Interquartile range. T-stage according to AJCC 8: TX: Primary CM thickness cannot be assessed; T1: ≤1.0 mm, ulceration unknown or unspecified and not classified as T1a or T1b; T1a: <0.8 mm without ulceration; T1b: <0.8 mm with ulceration and 0.8–1.0 mm with/without ulceration; T2: 1.1–2.0 mm, ulceration unknown or unspecified; T2a: 1.1–2.0 mm without ulceration; T2b: 1.1–2.0 mm with ulceration; T3: 2.1–4.0 mm, ulceration unknown or unspecified; T3a: 2.1–4.0 mm without ulceration; T3b: 2.1–4.0 mm with ulceration; T4: >4.0 mm, ulceration unknown or unspecified; T4a: >4.0 mm without ulceration; T4b: >4.0 mm with ulceration. SSM: superficial spreading melanoma; NM: nodular melanoma; LMM: lentigo malignant melanoma; ALM: acral lentiginous melanoma.

The median age at diagnosis for in situ CM was 67 years (interquartile range (IQR): 55–76 years). This corresponded to 65 years for women and 69 years for men. The total number of cases for invasive CM registered between 1997 and 2018 was 59,932 (Table 1). Of these, the number of women and men were comparable (49.2% and 50.8%, respectively). The median age was 65 years at diagnosis (IQR 51–75 years). The median age for women was 62 years, and 67 years for men. The majority of the cases (n = 21,352; 35.6%) were T1a CM. T1b corresponded to 9450 (15.8%) cases. The overall median tumour thickness was 0.9 mm (IQR: 0.5–2.0 mm). The median tumour thickness for women was 0.8 mm (IQR: 0.5–1.7 mm), and 1.0 mm (IQR: 0.5–2.2 mm) for men.

2.1. Annual Age-Standardised Incidence, 1997–2018

Figure 1 describes the trends of age-standardised incidence (logarithmic scale) of invasive and in situ CM per 100,000 individuals among women and men, 1997–2018, according to tumour thickness and age, as well as for subgroups of T1 CM and in situ CM.

Figure 1.

Figure 1

Figure 1

Figure 1

Trends of age-standardised incidence (logarithmic scale) per 100,000 individuals of cutaneous melanomas (CM) among men and women diagnosed in Sweden, 1997–2018, according to: (a) T-stage; (b) tumour thickness for T1 cutaneous melanoma; (c) age; (d) age for T1 cutaneous melanoma; and (e) age for in situ cutaneous melanoma.

2.1.1. In Situ Cutaneous Melanomas

Between the years 1997 and 2018, the average annual age-standardised incidence of in situ CM was 16.5/100,000 per year which corresponds to 16.2/100,000 per year among women and 17.5/100,000 per year among men (standardised by the Swedish population in the year 2000) (Figure 1a).

2.1.2. Invasive Cutaneous Melanomas

For all patients, the average annual age-standardised incidence of invasive CM was 28.0/100,000 per year between 1997 and 2018, which corresponds to 26.5/100,000 per year among women and 30.7/100,000 per year among men (standardised by the Swedish population in the year 2000). In particular, the increase in CM incidence is higher in women >70 years compared to women <50 years (Figure 1).

2.2. Incidence Trends of In Situ and Invasive Cutaneous Melanomas by Tumour Thickness

2.2.1. In Situ Cutaneous Melanomas

Among men, in situ CM significantly increased during the whole study period, but was more prominent (an average annual percentage (APC) 2 of 12.8, 95% CI 11.9–13.7, p < 0.001) from the year 2002 (Table 2a).

Table 2.

Annual percentage change (APC) in age-standardised incidence rates for in situ and invasive cutaneous melanoma in Sweden, 1997–2018, by: (a) sex and tumour thickness for all ages; (b) sex and tumour thickness for age group <50 years (c) sex and tumour thickness for age group 50–70 years; (d). sex and tumour thickness for age group >70 years.

(a)
All Ages Women
1997–2018 Period 1 Y Period 2
AAPC LCL UCL p-Value APC1 LCL UCL p-Value APC2 UCL LCL p-Value
Tumour Thickness
All 4.5 4.1 5.0 <0.001 - - - - - - - -
≤0.6 5.4 4.5 6.3 <0.001 2.9 0.8 5.1 0.009 2005 7.0 6.2 7.7 <0.001
0.7 4.4 2.6 6.2 <0.001 −1.0 −6.6 5.0 0.724 2003 6.6 5.4 7.8 <0.001
0.8 5.7 4.3 7.0 <0.001 - - - - - - - - -
0.9 3.8 2.7 4.8 <0.001 - - - - - - - - -
1.0 2.5 1.5 3.5 <0.001 - - - - - - - - -
1.1–2.0 3.6 2.8 4.4 <0.001 - - - - - - - - -
2.1–4.0 2.9 1.9 3.9 <0.001 4.5 3.4 5.5 <0.001 2011 −0.1 −2.4 2.2 0.904
>4 4.6 3.5 5.6 <0.001 7.7 5.1 10.4 <0.001 2005 2.6 1.8 3.5 <0.001
Missing 2.5 −0.0 5.1 0.053 8.4 4.8 12.1 <0.001 2009 −4.9 −8.9 −0.6 0.027
In situ 10.0 9.4 10.5 <0.001 - - - - - - - - -
All Ages Men
1997–2018 Period 1 Y Period 2
AAPC LCL UCL p-Value APC1 LCL UCL p-Value APC2 LCL UCL p-Value
Tumour Thickness
All 4.2 3.0 5.4 <0.001 −0.4 −8.4 8.3 0.920 2000 5.0 4.6 5.4 <0.001
≤0.6 6.3 5.2 7.4 <0.001 3.2 0.9 5.5 0.009 2006 8.7 7.7 9.8 <0.001
0.7 6.4 4.2 8.7 <0.001 5.0 3.7 6.4 <0.001 2015 15.2 0.4 32.2 0.044
0.8 5.6 4.8 6.4 <0.001 - - - - - - - - -
0.9 4.4 3.4 5.5 <0.001 - - - - - - - - -
1.0 3.3 1.6 5.0 <0.001 - - - - - - - - -
1.1–2.0 3.9 3.3 4.5 <0.001 - - - - - - - - -
2.1–4.0 2.1 1.1 3.2 <0.001 3.4 2.3 4.5 <0.001 2011 −0.4 −2.8 2.1 0.753
>4 3.4 2.8 4.0 <0.001 - - - - - - - -
Missing 2.3 −0.6 5.3 0.119 6.7 2.7 11.0 0.003 2009 −3.3 −8.0 1.6 0.168
In situ 10.2 8.8 11.6 <0.001 2.4 −2.6 7.7 0.334 2002 12.8 11.9 13.7 <0.001
(b)
Age Group: <50 Women
1997–2018 Period 1 Y Period 2
AAPC LCL UCL p-Value APC1 LCL UCL p-Value AAPC LCL UCL p-Value
Tumour Thickness
All 3.3 1.9 4.8 <0.001 4.4 3.6 5.2 <0.001 2015 –2.9 –11. 6.7 0.513
≤0.6 4.8 4.1 5.4 <0.001 - - - - - - - - -
0.7 3.7 2.3 5.2 <0.001 - - - - - - - - -
0.8 1.5 –5.6 9.2 0.680 5.5 3.0 8.1 <0.001 2016 –29.4 –68.1 55. 0.366
0.9 3.8 2.1 5.5 <0.001 - - - - - - - - -
1.0 1.1 –0.8 3.1 0.247 - - - - - - - - -
1.1–2.0 2.8 1.4 4.2 <0.001 - - - - - - - - -
2.1–4.0 3.7 2.5 4.9 <0.001 - - - - - - - - -
>4 2.2 –0.1 4.7 0.061 - - - - - - - - -
Missing 1.4 –3.2 6.4 0.552 7.6 3.1 12. 0.002 2012 –12.6 –24.2 0.8 0.063
Age Group: <50 Men
1997–2018 Period 1 Y Period 2
AAPC LCL UCL p-Value APC1 LCL UCL p-Value AAPC LCL UCL p-Value
Tumour Thickness
All 3.1 2.5 3.6 <0.001 - - - - - - - - -
≤0.6 4.4 3.3 5.6 <0.001 - - - - - - - - -
0.7 4.1 2.4 5.8 <0.001 - - - - - - - - -
0.8 2.9 1.2 4.7 0.002 - - - - - - - - -
0.9 2.5 0.9 4.0 0.002 - - - - - - - - -
1.0 2.4 0.8 4.0 0.005 - - - - - - - - -
1.1–2.0 2.3 1.1 3.5 0.001 - - - - - - - - -
2.1–4.0 0.8 –0.4 2.1 0.200 - - - - - - - - -
>4 0.1 –1.6 1.9 0.886 - - - - - - - - -
Missing 0.9 –4.73 6.9 0.749 10.6 1.9 20.2 0.019 2008 –8.76 –16.9 0.2 0.055
(c)
Age Group: 50–70 Women
1997–2018 Period 1 Y Period 2
AAPC LCL UCL p-Value APC1 LCL UCL p-Value AAPC LCL UCL p-Value
Tumour Thickness
All 4.8 3.6 6.0 <0.001 1.3 −1.5 4.1 0.344 2005 7.0 6.0 8.1 <0.001
≤0.6 5.1 3.5 6.7 <0.001 - - - - - - - - -
0.7 5.7 4.2 7.3 <0.001 - - - - - - - - -
0.8 2.6 1.5 3.8 <0.001 - - - - - - - - -
0.9 2.6 1.3 3.9 <0.001 - - - - - - - - -
1.0 3.6 2.7 4.6 <0.001 - - - - - - - - -
1.1–2.0 2.5 1.3 3.7 <0.001 - - - - - - - - -
2.1–4.0 2.7 1.4 4.1 <0.001 - - - - - - - - -
>4 1.8 −2.9 6.9 0.449 8.2 2.2 14. 0.010 2010 −7.6 −16.4 1.9 0.108
Missing 3.9 2.9 5.0 <0.001 2.0 −0.7 4.9 0.144 2004 4.9 4.1 5.7 <0.001
Age Group: 50–70 Men
1997–2018 Period 1 Y Period 2
AAPC LCL UCL p-Value APC1 LCL UCL p-Value AAPC LCL UCL p-Value
Tumour Thickness
All 5.8 4.7 6.9 <0.001 3.7 1.4 6.1 0.003 2006 7.4 6.3 8.5 <0.001
≤0.6 4.4 2.1 6.7 <0.001 −0.3 −5.6 5.2 0.909 2005 7.4 5.3 9.4 0.000
0.7 4.8 3.6 6.0 <0.001 - - - - - - - - -
0.8 3.4 2.0 4.8 <0.001 - - - - - - - - -
0.9 2.2 0.3 4.1 0.023 - - - - - - - - -
1.0 3.6 2.9 4.3 <0.001 - - - - - - - - -
1.1–2.0 1.8 0.9 2.7 <0.001 - - - - - - - - -
2.1–4.0 2.2 1.2 3.2 <0.001 - - - - - - - - -
>4 1.4 −1.16 4.0 0.267 - - - - - - - - -
Missing 4.1 3.7 4.6 <0.001 - - - - - - - - -
(d)
Age Group: >70 Women
1997–2018 Period 1 Y Period 2
AAPC LCL UCL p-Value APC1 LCL UCL p-Value AAPC LCL UCL p-Value
Tumour Thickness
All 5.5 5.0 6.0 <0.001 - - - - - - - - -
≤0.6 8.2 7.1 9.3 <0.001 - - - - - - - - -
0.7 7.8 6.0 9.7 <0.001 - - - - - - - - -
0.8 6.3 1.4 11. 0.010 9.2 7.0 11.5 <0.001 2016 −17.9 −49.8 34. 0.410
0.9 5.8 4.1 7.6 <0.001 - - - - - - - - -
1.0 3.9 2.3 5.5 <0.001 - - - - - - - - -
1.1–2.0 4.2 3.4 5.1 <0.001 - - - - - - - - -
2.1–4.0 3.0 2.1 4.0 <0.001 - - - - - - - - -
>4 5.2 3.8 6.6 <0.001 7.6 4.6 10. <0.001 2006 3.4 2.1 4.8 <0.001
Missing 2.3 0.0 4.7 0.043 - - - - - - - - -
Age Group: >70 Men
1997–2018 Period 1 Y Period 2
AAPC LCL UCL p-Value APC1 LCL UCL p-Value AAPC LCL UCL p-Value
Tumour Thickness
All 5.7 5.3 6.1 <0.001 - - - - - - - - -
≤0.6 6.9 4.2 9.6 <0.001 −6.1 −18.2 7.6 0.340 2001 10.2 9.1 11.4 <0.001
0.7 8.3 6.1 10.6 <0.001 6.0 4.5 7.6 <0.001 2015 23.2 7.9 40.7 0.004
0.8 8.0 6.2 9.7 <0.001 - - - - - - - - -
0.9 6.5 4.6 8.4 <0.001 - - - - - - - - -
1.0 4.6 1.8 7.4 0.002 - - - - - - - - -
1.1–2.0 4.8 3.8 5.8 <0.001 - - - - - - - - -
2.1–4.0 2.7 1.9 3.5 <0.001 - - - - - - - - -
>4 4.1 3.3 5.0 <0.001 - - - - - - - - -
Missing 2.5 0.4 4.6 0.018 - - - - - - - - -

AAPC: average annual percent change, APC1: annual percent change in the first period, APC2: annual percent change in the second period, Y = starting year for Period 2, LCL: lower confidence limit, UCL: upper confidence limit.

2.2.2. Invasive Cutaneous Melanomas

The modelled data showed that the overall sex-specific annual age-standardised incidence of invasive CM fluctuated depending on the thickness group. The AAPC of the incidence of invasive CM for women was 4.5 (4.1–5.0; p < 0.001) for the total study period, 1997–2018 (Table 2a). For men, the APCC was 4.2 (3.0–5.4; p < 0.001), with a significantly higher annual percentage change for the period 2000–2018 (APC2) (5.0; 4.6–5.4; p < 0.001) compared to 1997–1999 (APC1) (Table 2a). An increasing annual incidence of CM with tumour thicknesses ≤0.6 mm and 0.7 mm was found for men, with a significant shift of incidence from 2006 and 2015, respectively (Table 2a, Figure 1b). A similar trend was shown for women, where CM with a thickness of ≤0.6 mm increased for the entire study period, but with a significantly higher APC from 2005. The incidence of 0.7 mm thick CM decreased between 1997 and 2003, but with a significant shift of an increasing incidence from 2003 in females (Table 2a, Figure 1b).

For both female and male patients, the incidence of CM with an intermediate thickness of 2.1–4.0 mm has not increased since 2011 (Table 2a; Figure 1a). The incidence of CM > 4.0 mm increased among both sexes during the study period, but with a significant trend of a lower APC among women from the year 2005 (Table 2a, Figure S1).

2.3. Incidence Trends of Invasive Cutaneous Melanomas by Age

In both women and men, the AAPC of the incidence of invasive CM based on age group significantly increased between 1997 and 2018 for all patients (AAPCwomen<50 years 3.3, 1.9–4.8, p < 0.001; AAPCmen<50 years 3.1, 2.5–3.6, p < 0.001; AAPCwomen 50–70 years 4.8, 3.6–6.0, p < 0.001; AAPCmen 50–70 years 5.8, 4.7–6.9, p < 0.001; AAPCwomen>70 years 5.5, 5.0–6.0, p < 0.001; AAPCmen>70 years 5.7, 5.3–6.1, p < 0.001) (Table 2a–d).

Interestingly, the APC for subgroups of CM ≤ 0.6 mm significantly increased among men older than 70 years (APC2CM≤0.6 mm from year 2001 10.2, 9.1–11.4, p < 0.001; APC2CM 0.7 mm from year 2015 23.2, 7.9–40.7, p = 0.004) (Table 2d). A trend of decreasing incidence of T4 CM among women aged 50–70 was noted from the year 2010 (−7.6; −16.4–1.9; p = 0.108), but the incidence of T4 CM still increased in the age group >70 years, although with a significantly lower incidence rate.

3. Discussion

By using the population-based, high-coverage SweMR, we have pointed out specific age- and sex-specific trends in CM incidence in the Swedish population which may contribute to the implementation of new CM prevention strategies. The incidence of in situ and low-risk invasive CM ≤ 1.0 mm in tumour thickness has been rising among both sexes since the 2000s. Interestingly, this has appeared later among males compared to females, with a trend of an increased incidence of thinner CM towards men > 70 years. CM > 4.0 mm in tumour thickness with a high risk of recurrences and CM-related death still continue to increase among both sexes, but with a slightly lower increase among females. The results may indicate sex-specific differences of CM awareness and health care-seeking behaviour.

We show that the annual age-standardised incidence of both in situ and invasive CM continues to increase among both men and women in Sweden, which is in line with the incidence trends in almost all Caucasian populations world-wide [1,2,5,22,23]. For example, the highest age-standardised CM incidence rates within Europe for 2018 ranged from 15.3 to 33.1/100,000 per year [1,5,6,15]. Behavioural changes in lifestyle factors associated with an increased exposure to UV radiation during the decades from 1950 and later have probably contributed to the increase in CM incidence [5,8,9]. The sun protection campaigns have generally been less coordinated in Europe and in the US compared to the early national efforts in Australia and New Zealand [4,14,24]. The trend of increasing CM incidence world-wide evokes the question of whether there are additional risk factors other than UV radiation. An association between commonly used drugs and risk for CM has been reported [25,26,27]. Some medications have secondary immuno-modulating effects in mouse models and human cell lines, but the clinical impact has to be validated [28,29,30,31]. However, the incidence rates seem to stabilise or decrease among younger individuals in New Zealand and Australia, as well as in some parts of Europe, Canada and the US [3,4,5,32,33]. We found a similar trend for men aged below 50 years in Sweden. A possible explanation may be reduced sun exposure in younger individuals due to sun protection information, less outdoor work and reduced outdoor leisure activities [14,34,35].

Ongoing trends towards thinner (≤1.0 mm in tumour thickness) CM have been described in several countries with fair-skinned populations [3,16,17,33,36]. The increase in the annual incidence of in situ CM seems to follow the same pattern as for invasive tumours. Some of these reports have even shown that the annual incidence rate of in situ CM has been increasing more rapidly than that of invasive CM in Queensland, Australia; Denmark, the Netherlands; and the US [3,17,33].

Moreover, the increase in CM incidence in Sweden corresponds to the CM incidence among women in Australia, but the increase corresponds to thin low-risk CM with a good prognosis [1,37]. However, we also found that thick CM > 4.0 mm are still increasing among men and women, which shows that the increase in age-standardised CM incidence in Sweden is not only attributed to improved detection of low-risk tumours.

In a recent publication by H. Gilbert Welch et al. with the title The Rapid Rise in Cutaneous Melanoma Diagnoses [38], the authors pointed out that considerable disagreement still exists as to whether this increased incidence represents a true epidemic, or rather, an “epidemic of diagnosis”. The authors stated that “The most important step to break the cycle of melanoma overdiagnosis is to stop population-wide screening for skin cancer”. In Sweden, melanomas are mostly diagnosed in primary care by general practitioners. For dermatologic specialist care, a referral is mandatory, and screening is not reimbursed in the tax funded Swedish health care system. Screening for melanoma is basically absent in Sweden, besides targeted screening in high risk persons, e.g., members of melanoma-prone families and patients with a history of multiple melanomas. The recent trend of an increasing proportion of pre-invasive and early invasive CM could be explained by the more widespread use of dermatoscopy since the early 2000s in Sweden [39]. Dermatoscopy, with better diagnostic accuracy for CM than naked eye assessment, could have a population-wide impact by improving early detection and diagnosing thinner CM. The features of early melanomas can be very subtle clinically, therefore escaping detection until dermatoscopy is applied [40,41]. Pre-invasive and early invasive CM also tend to be histopathologically ambiguous and therefore more prone to both over and underdiagnosis, to an extent that is still not settled [42,43].

The main strengths of the present study include prospectively collected population-based data from the high-coverage, national SweMR, with detailed clinico-pathological information on all invasive CM diagnosed in Sweden, making the results generalizable to other populations. The weaknesses include less detailed clinical information on in situ CM.

In conclusion, although we show an alarming increase in the annual age-standardised incidence of in situ and invasive CM in Sweden, we found that this largely corresponds to a trend of in situ and low-risk CM ≤ 1.0 mm in tumour thickness in both sexes since the 2000s.

4. Patients and Methods

The nationwide, population-based SweMR includes prospectively collected clinico-pathological data on invasive CM in Sweden since 1990. The register was initiated by the multidisciplinary Swedish Melanoma Study Group, and has had a high coverage (99%) since 1996, as compared to the reference register, the SCR [44,45]. The SCR is maintained by the National Board of Health and Welfare, and reporting to this register is mandatory both for clinicians and for the diagnosing pathologists. The SCR includes invasive as well as in situ CM.

Initially, reporting to the SweMR was lower in some parts of Sweden between 1990 and 1996 [44]. This study therefore includes CM patients diagnosed from 1997 and onwards, to obtain high coverage national data. Between 1997 and 2018, 59,932 invasive CM were recorded in the SweMR. The corresponding number of in situ CM was 35,350 cases.

Data on in situ (Tis) CM were obtained from the SCR and included sex and age (<50, 50–70, >70 years).

The patients were classified according to the 8th edition of the American Joint Committee on Cancer (AJCC) 8 staging for invasive CM [46]. Information on clinico-pathological variables was assessed from the SweMR and included: sex, age (<50, 50–70, >70 years), Breslow tumour thickness (continuous), ulceration status (absent, present, missing information), histologic subtype of CM (superficial spreading (SSM), nodular (NM), lentigo malignant melanoma (LMM), acral lentiginous melanoma (ALM), other, missing information) and T-stage (TX, T1, T1a-b, T2, T2a-b, T3, T3a-b, T4, T4a-b). This corresponds to T-stage according to AJCC 8: TX: primary CM thickness cannot be assessed; T1: ≤1.0 mm, ulceration unknown or unspecified and not classified as T1a or T1b; T1a: <0.8 mm without ulceration; T1b: <0.8 mm with ulceration and 0.8–1.0 mm with/without ulceration; T2: 1.1–2.0 mm, ulceration unknown or unspecified; T2a: 1.1–2.0 mm without ulceration; T2b: 1.1–2.0 mm with ulceration; T3: 2.1–4.0 mm, ulceration unknown or unspecified; T3a: 2.1–4.0 mm without ulceration; T3b: 2.1–4.0mm with ulceration; T4: >4.0 mm, ulceration unknown or unspecified; T4a: >4.0 mm without ulceration; T4b: >4.0 mm with ulceration.

Statistical Analysis

The statistical analysis was performed for men and women separately. All incidence rates per 100,000 inhabitants were calculated for each year of diagnosis and standardised by the Swedish population in the year 2000. Joinpoint regression models were used to evaluate whether temporal trends had statistically significant points of change, and to estimate the average annual percentage change (AAPC) with subdivisions of sex, age-groups and tumour thickness [47]. The time periods (tp) were autogenerated by the joinpoint analyses, and for each time period, the annual percentage change (APC(tp)) was calculated. For this purpose, we used the Joinpoint Regression Software developed by the Surveillance Research Program of the US National Cancer Institute [48,49]. The Joinpoint Regression Program used a permutation test to find the optimal number of joinpoints. The Program ran 4499 permutations to select the model with an overall significance level of 0.05. The analyses allowed a maximum of one joinpoint, and the maximum number of estimated APCs was consequently two. The statistical analyses were performed using SPSS version 27 software (IBM, Armonk, NY, USA) or R version 4.0.0. (R Core Team, Vienna, Austria). Missing data were handled by pairwise deletion.

5. Conclusions

In conclusion, although we show an alarming increase in the annual age-standardised incidence of in situ and invasive CM in Sweden, we found that this largely corresponds to a trend of in situ and low-risk CM ≤ 1.0 mm in tumour thickness in both sexes since the 2000s. These trends may be a result of more effective secondary prevention efforts, including an improved understanding and awareness of the disease both among clinicians and the public. Still, the incidence of high-risk CM continues to rise among both sexes. Prevention efforts such as coordinated and repeated national primary prevention campaigns are needed, including an improved understanding of putative novel risk factors and biomarkers in high-risk populations, and targeted towards specific subgroups (e.g., children/young adults) and high-risk individuals (e.g., older men).

Acknowledgments

We thank the patients contributing to the Swedish national registries, the Swedish Melanoma Study Group (SMSG) and the national cancer centers collecting data to the SweMR.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/cancers13112838/s1, Figure S1. Trends in annual percentage change (APC) in age-standardized incidence rates for in situ and invasive cutaneous melanoma by tumour thickness and sex, in Sweden 1997–2018.

Author Contributions

Conceptualization: K.I., J.L. (Johan Lyth), J.L. (Jan Lapins). Methodology: R.M., J.L. (Johan Lyth). Validation: K.I., H.E., J.L. (Johan Lyth), R.M. Formal Analysis: R.M., J.L. (Johan Lyth). Investigation: K.I., H.E., J.L. (Johan Lyth), R.M., K.N., J.L. (Jan Lapins). Resources: K.I., H.E. Data curation: R.M., J.L. (Johan Lyth). Writing (Original Draft): H.E., R.M. Preparation: K.I., H.E., J.L. (Johan Lyth), R.M., K.N., J.L. (Jan Lapins). Writing (Review & Editing): All authors. Visualization R.M., J.L. (Johan Lyth). Supervision: J.L. (Johan Lyth). Project Administration: K.I. Funding Acquisition: K.I., H.E., K.N. All authors have read and agreed to the published version of the manuscript.

Funding

H.E.: The Swedish Cancer Society (190278Fk01H, 210406 JCIA), the Cancer Research Foundations of Radiumhemmet (181083), the Swedish Medical Society (SLS-934511, SLS-961466), the Swedish Society for Medical Research (2017), KI Funds (FS-2020:0007), Hudfonden (4-1880/2020), the Sigurd and Elsa Golje Memorial Fund (LA-2020-0148), Folkfonden (2020), Castenbäck Fund (2020. K.I.: S. Paulsson Fund, M. Paulsson Fund K.N.: Hudfonden (2020), S.R. Gorthon foundation (2020), Krapperup foundation (0029-2020), FOU Region Skane (REGSKANE-815731) and ALF Lund University (2018–2020).

Institutional Review Board Statement

The study was approved by the Ethical Review Board, (Dnr 99160/1999. Approved on: 08 June 1999).

Informed Consent Statement

Patient consent was waived due to retrospective nature of the study.

Data Availability Statement

Data are available from the corresponding authors.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Bray F., Ferlay J., Soerjomataram I., Siegel R.L., Torre L.A., Jemal A. Global cancer statistics 2018: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018;68:394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
  • 2.Siegel R.L., Miller K.D., Jemal A. Cancer statistics, 2018. CA Cancer J. Clin. 2018;68:7–30. doi: 10.3322/caac.21442. [DOI] [PubMed] [Google Scholar]
  • 3.Aitken J.F., Youlden D.R., Baade P.D., Soyer H.P., Green A.C., Smithers B.M. Generational shift in melanoma incidence and mortality in queensland, australia, 1995–2014. Int. J. Cancer. 2018;142:1528–1535. doi: 10.1002/ijc.31141. [DOI] [PubMed] [Google Scholar]
  • 4.Whiteman D.C., Green A.C., Olsen C.M. The growing burden of invasive melanoma: Projections of incidence rates and numbers of new cases in six susceptible populations through 2031. J. Investig. Dermatol. 2016;136:1161–1171. doi: 10.1016/j.jid.2016.01.035. [DOI] [PubMed] [Google Scholar]
  • 5.Erdmann F., Lortet-Tieulent J., Schuz J., Zeeb H., Greinert R., Breitbart E.W., Bray F. International trends in the incidence of malignant melanoma 1953–2008—Are recent generations at higher or lower risk? Int. J. Cancer. 2013;132:385–400. doi: 10.1002/ijc.27616. [DOI] [PubMed] [Google Scholar]
  • 6.Nikolaou V., Stratigos A.J. Emerging trends in the epidemiology of melanoma. Br. J. Dermatol. 2014;170:11–19. doi: 10.1111/bjd.12492. [DOI] [PubMed] [Google Scholar]
  • 7.Ferlay J., Colombet M., Soerjomataram I., Dyba T., Randi G., Bettio M., Gavin A., Visser O., Bray F. Cancer incidence and mortality patterns in europe: Estimates for 40 countries and 25 major cancers in 2018. Eur. J. Cancer. 2018;103:356–387. doi: 10.1016/j.ejca.2018.07.005. [DOI] [PubMed] [Google Scholar]
  • 8.Arnold M., de Vries E., Whiteman D.C., Jemal A., Bray F., Parkin D.M., Soerjomataram I. Global burden of cutaneous melanoma attributable to ultraviolet radiation in 2012. Int. J. Cancer. 2018;143:1305–1314. doi: 10.1002/ijc.31527. [DOI] [PubMed] [Google Scholar]
  • 9.Lucas R.M., McMichael A.J., Armstrong B.K., Smith W.T. Estimating the global disease burden due to ultraviolet radiation exposure. Int. J. Epidemiol. 2008;37:654–667. doi: 10.1093/ije/dyn017. [DOI] [PubMed] [Google Scholar]
  • 10.Armstrong B.K., Kricker A. How much melanoma is caused by sun exposure? Melanoma Res. 1993;3:395–401. doi: 10.1097/00008390-199311000-00002. [DOI] [PubMed] [Google Scholar]
  • 11.International Agency for Research on Cancer Ingested nitrate and nitrite, and cyanobacterial peptide toxins. IARC Monogr. Eval. Carcinog. Risks Hum. 2010;94:448. [PMC free article] [PubMed] [Google Scholar]
  • 12.Stanton W.R., Janda M., Baade P.D., Anderson P. Primary prevention of skin cancer: A review of sun protection in australia and internationally. Health Promot Int. 2004;19:369–378. doi: 10.1093/heapro/dah310. [DOI] [PubMed] [Google Scholar]
  • 13.Smith T. The queensland melanoma project—An exercise in health education. Br. Med. J. 1979;1:253–254. doi: 10.1136/bmj.1.6158.253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Iannacone M.R., Green A.C. Towards skin cancer prevention and early detection: Evolution of skin cancer awareness campaigns in australia. Melanoma Manag. 2014;1:75–84. doi: 10.2217/mmt.14.6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Arnold M., Holterhues C., Hollestein L.M., Coebergh J.W., Nijsten T., Pukkala E., Holleczek B., Tryggvadottir L., Comber H., Bento M.J., et al. Trends in incidence and predictions of cutaneous melanoma across europe up to 2015. J. Eur. Acad. Dermatol. Venereol. 2014;28:1170–1178. doi: 10.1111/jdv.12236. [DOI] [PubMed] [Google Scholar]
  • 16.Sacchetto L., Zanetti R., Comber H., Bouchardy C., Brewster D.H., Broganelli P., Chirlaque M.D., Coza D., Galceran J., Gavin A., et al. Trends in incidence of thick, thin and in situ melanoma in europe. Eur. J. Cancer. 2018;92:108–118. doi: 10.1016/j.ejca.2017.12.024. [DOI] [PubMed] [Google Scholar]
  • 17.Toender A., Kjaer S.K., Jensen A. Increased incidence of melanoma in situ in denmark from 1997 to 2011: Results from a nationwide population-based study. Melanoma Res. 2014;24:488–495. doi: 10.1097/CMR.0000000000000092. [DOI] [PubMed] [Google Scholar]
  • 18.Podlipnik S., Carrera C., Boada A., Richarz N., Marcoval J., Ferreres J.R., Bodet D., Marti R.M., Segura S., Sabat M., et al. Incidence of melanoma in catalonia, spain, is rapidly increasing in the elderly population. A multicentric cohort study. J. Clin. Med. 2020;9:3396. doi: 10.3390/jcm9113396. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Guy G.P., Jr., Ekwueme D.U., Tangka F.K., Richardson L.C. Melanoma treatment costs: A systematic review of the literature, 1990–2011. Am. J. Prev. Med. 2012;43:537–545. doi: 10.1016/j.amepre.2012.07.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Lyth J., Carstensen J., Synnerstad I., Lindholm C. Stage-specific direct health care costs in patients with cutaneous malignant melanoma. J. Eur. Acad. Dermatol. Venereol. 2016;30:789–793. doi: 10.1111/jdv.13110. [DOI] [PubMed] [Google Scholar]
  • 21.Buja A., Sartor G., Scioni M., Vecchiato A., Bolzan M., Rebba V., Sileni V.C., Palozzo A.C., Montesco M., Del Fiore P., et al. Estimation of direct melanoma-related costs by disease stage and by phase of diagnosis and treatment according to clinical guidelines. Acta Derm. Venereol. 2018;98:218–224. doi: 10.2340/00015555-2830. [DOI] [PubMed] [Google Scholar]
  • 22.Garbe C., Keim U., Eigentler T.K., Amaral T., Katalinic A., Holleczek B., Martus P., Leiter U. Time trends in incidence and mortality of cutaneous melanoma in germany. J. Eur. Acad. Dermatol. Venereol. 2019;33:1272–1280. doi: 10.1111/jdv.15322. [DOI] [PubMed] [Google Scholar]
  • 23.Ghazawi F.M., Cyr J., Darwich R., Le M., Rahme E., Moreau L., Netchiporouk E., Zubarev A., Roshdy O., Glassman S.J., et al. Cutaneous malignant melanoma incidence and mortality trends in canada: A comprehensive population-based study. J. Am. Acad. Dermatol. 2019;80:448–459. doi: 10.1016/j.jaad.2018.07.041. [DOI] [PubMed] [Google Scholar]
  • 24.Lazovich D., Choi K., Vogel R.I. Time to get serious about skin cancer prevention. Cancer Epidemiol. Biomarkers Prev. 2012;21:1893–1901. doi: 10.1158/1055-9965.EPI-12-0327. [DOI] [PubMed] [Google Scholar]
  • 25.Berge L.A.M., Andreassen B.K., Stenehjem J.S., Heir T., Furu K., Juzeniene A., Roscher I., Larsen I.K., Green A.C., Veierod M.B., et al. Use of antidepressants and risk of cutaneous melanoma: A prospective registry-based case-control study. Clin. Epidemiol. 2020;12:193–202. doi: 10.2147/CLEP.S241249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Jaune E., Rocchi S. Metformin: Focus on melanoma. Front. Endocrinol. (Lausanne) 2018;9:472. doi: 10.3389/fendo.2018.00472. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Williams N.M., Vincent L.T., Rodriguez G.A., Nouri K. Antihypertensives and melanoma: An updated review. Pigment Cell Melanoma Res. 2020;33:806–813. doi: 10.1111/pcmr.12918. [DOI] [PubMed] [Google Scholar]
  • 28.Sarrabayrouse G., Pich C., Teiti I., Tilkin-Mariame A.F. Regulatory properties of statins and rho gtpases prenylation inhibitiors to stimulate melanoma immunogenicity and promote anti-melanoma immune response. Int. J. Cancer. 2017;140:747–755. doi: 10.1002/ijc.30422. [DOI] [PubMed] [Google Scholar]
  • 29.Huber V., Camisaschi C., Berzi A., Ferro S., Lugini L., Triulzi T., Tuccitto A., Tagliabue E., Castelli C., Rivoltini L. Cancer acidity: An ultimate frontier of tumor immune escape and a novel target of immunomodulation. Semin. Cancer Biol. 2017;43:74–89. doi: 10.1016/j.semcancer.2017.03.001. [DOI] [PubMed] [Google Scholar]
  • 30.De Milito A., Canese R., Marino M.L., Borghi M., Iero M., Villa A., Venturi G., Lozupone F., Iessi E., Logozzi M., et al. Ph-dependent antitumor activity of proton pump inhibitors against human melanoma is mediated by inhibition of tumor acidity. Int. J. Cancer. 2010;127:207–219. doi: 10.1002/ijc.25009. [DOI] [PubMed] [Google Scholar]
  • 31.Grygier B., Arteta B., Kubera M., Basta-Kaim A., Budziszewska B., Leskiewicz M., Curzytek K., Duda W., Lason W., Maes M. Inhibitory effect of antidepressants on b16f10 melanoma tumor growth. Pharmacol. Rep. 2013;65:672–681. doi: 10.1016/S1734-1140(13)71045-4. [DOI] [PubMed] [Google Scholar]
  • 32.Eggen C.A.M., Durgaram V.V.L., van Doorn R., Mooi W.J., Pardo L.M., Pasmans S., Hollestein L.M. Incidence and relative survival of melanoma in children and adolescents in the netherlands, 1989–2013. J. Eur. Acad. Dermatol. Venereol. 2018;32:956–961. doi: 10.1111/jdv.14665. [DOI] [PubMed] [Google Scholar]
  • 33.Paulson K.G., Gupta D., Kim T.S., Veatch J.R., Byrd D.R., Bhatia S., Wojcik K., Chapuis A.G., Thompson J.A., Madeleine M.M., et al. Age-specific incidence of melanoma in the united states. JAMA Dermatol. 2019;156:57–64. doi: 10.1001/jamadermatol.2019.3353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Schmidt M.E., Haines J., O’Brien A., McDonald J., Price S., Sherry B., Taveras E.M. Systematic review of effective strategies for reducing screen time among young children. Obesity (Silver Spring) 2012;20:1338–1354. doi: 10.1038/oby.2011.348. [DOI] [PubMed] [Google Scholar]
  • 35.McCurdy L.E., Winterbottom K.E., Mehta S.S., Roberts J.R. Using nature and outdoor activity to improve children’s health. Curr. Probl. Pediatr. Adolesc. Health Care. 2010;40:102–117. doi: 10.1016/j.cppeds.2010.02.003. [DOI] [PubMed] [Google Scholar]
  • 36.Mocellin S., Nitti D. Cutaneous melanoma in situ: Translational evidence from a large population-based study. Oncologist. 2011;16:896–903. doi: 10.1634/theoncologist.2010-0340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Isaksson K., Mikiver R., Eriksson H., Lapins J., Nielsen K., Ingvar C., Lyth J. Survival in 31,670 patients with thin melanomas: A swedish population-based study. Br. J. Dermatol. 2021;184:60–67. doi: 10.1111/bjd.19015. [DOI] [PubMed] [Google Scholar]
  • 38.Welch H.G., Mazer B.L., Adamson A.S. The rapid rise in cutaneous melanoma diagnoses. N. Engl. J. Med. 2021;384:72–79. doi: 10.1056/NEJMsb2019760. [DOI] [PubMed] [Google Scholar]
  • 39.Forsea A.M., Tschandl P., Zalaudek I., Del Marmol V., Soyer H.P., Eurodermoscopy Working G., Argenziano G., Geller A.C. The impact of dermoscopy on melanoma detection in the practice of dermatologists in europe: Results of a pan-european survey. J. Eur. Acad. Dermatol. Venereol. 2017;31:1148–1156. doi: 10.1111/jdv.14129. [DOI] [PubMed] [Google Scholar]
  • 40.Kittler H., Pehamberger H., Wolff K., Binder M. Diagnostic accuracy of dermoscopy. Lancet Oncol. 2002;3:159–165. doi: 10.1016/S1470-2045(02)00679-4. [DOI] [PubMed] [Google Scholar]
  • 41.Vestergaard M.E., Macaskill P., Holt P.E., Menzies S.W. Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: A meta-analysis of studies performed in a clinical setting. Br. J. Dermatol. 2008;159:669–676. doi: 10.1111/j.1365-2133.2008.08713.x. [DOI] [PubMed] [Google Scholar]
  • 42.Elmore J.G., Barnhill R.L., Elder D.E., Longton G.M., Pepe M.S., Reisch L.M., Carney P.A., Titus L.J., Nelson H.D., Onega T., et al. Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: Observer accuracy and reproducibility study. BMJ. 2017;357:j2813. doi: 10.1136/bmj.j2813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Farmer E.R., Gonin R., Hanna M.P. Discordance in the histopathologic diagnosis of melanoma and melanocytic nevi between expert pathologists. Hum. Pathol. 1996;27:528–531. doi: 10.1016/S0046-8177(96)90157-4. [DOI] [PubMed] [Google Scholar]
  • 44.Swedish Melanoma Registry (SweMR–Svenska Melanomregistret) [(accessed on 27 May 2021)]; Available online: https://cancercentrum.se/globalassets/om-rcc/sydost/pdf/swemr-1990-2019.pdf.
  • 45.Lindholm C., Andersson R., Dufmats M., Hansson J., Ingvar C., Moller T., Sjodin H., Stierner U., Wagenius G., Swedish Melanoma Study Group Invasive cutaneous malignant melanoma in sweden, 1990–1999. A prospective, population-based study of survival and prognostic factors. Cancer. 2004;101:2067–2078. doi: 10.1002/cncr.20602. [DOI] [PubMed] [Google Scholar]
  • 46.Gershenwald J.E., Scolyer R.A., Hess K.R., Sondak V.K., Long G.V., Ross M.I., Lazar A.J., Faries M.B., Kirkwood J.M., McArthur G.A., et al. Melanoma staging: Evidence-based changes in the american joint committee on cancer eighth edition cancer staging manual. CA Cancer J. Clin. 2017;67:472–492. doi: 10.3322/caac.21409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Kim H.J., Fay M.P., Feuer E.J., Midthune D.N. Permutation tests for joinpoint regression with applications to cancer rates. Stat. Med. 2000;19:335–351. doi: 10.1002/(SICI)1097-0258(20000215)19:3&#x0003c;335::AID-SIM336&#x0003e;3.0.CO;2-Z. [DOI] [PubMed] [Google Scholar]
  • 48.National Cancer Institute . Joinpoint Regression Program, Version 4.6.0.0. National Cancer Institute; Bethesda, MD, USA: Apr, 2018. [(accessed on 27 May 2021)]. Statistical Methodology and Applications Branch, Surveillance Research Program. Available online: https://surveillance.cancer.gov/joinpoint/ [Google Scholar]
  • 49.National Cancer Institute . Permutation Test Details. National Cancer Institute; Bethesda, MD, USA: [(accessed on 27 May 2021)]. Available online: https://surveillance.Cancer.Gov/help/joinpoint/setting-parameters/method-and-parameters-tab/model-selection-method/permutation-tests/permutation-test-details. [Google Scholar]

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Supplementary Materials

Data Availability Statement

Data are available from the corresponding authors.


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