| Title |
Skin cancer rates in North Rhine-Westphalia, Germany before and after the introduction of the nationwide skin cancer screening program (2000–2015)
|
|---|---|
| Published in |
European Journal of Epidemiology, January 2018
|
| DOI | 10.1007/s10654-017-0348-6 |
| Pubmed ID | |
| Authors |
Andreas Stang, Karl-Heinz Jöckel, Oliver Heidinger |
| Abstract |
Germany is the first nation that implemented a nationwide skin cancer screening program in 2008. The aim is to study the effect of the program on skin cancer rates and to estimate the number needed to screen for an unselected and a hypothetical high-risk population in Germany. We used population-based data on skin cancer incidence (2000-2014), mortality, hospitalization and sick leave (2000-2015) from North Rhine-Westphalia, Germany (18 million population). We calculated annual age-standardized rates per 100,000 person years and calculated the relative change of the rates (%) including 95% confidence intervals (95% CI). Between 2007 and 2014, the estimated annual percentage change (EAPC) of the age-standardized incidence rate of skin melanoma was 3.8% among men and women. These increases were accompanied by increases of the age-standardized mortality rates (EAPC men 3.2%, women 2.0%) and age-standardized sick leave rates (EAPC men 11.0%, women 6.1%). Hospitalization rates showed barely any change. All types of rates for nonmelanoma skin cancer showed marked increases. The number needed to screen for skin melanoma death would be 34,000 if the risk reduction due to screening would be 50%. In a hypothetical high-risk approach with 10% of the population at high risk, that is, a relative risk of melanoma death of 4.0, a skin melanoma mortality risk reduction of 50% among these people due to screening would result in a reduction of the skin melanoma mortality by 15% in the total population. However, this reduction would require a number needed to screen of 11,141. Seven years after the introduction of the skin cancer screening program, there is no discernible beneficial effect at population level. The estimated number needed to screen for skin melanoma in an unselected approach is high and a realistic high-risk approach is currently not feasible. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 33% |
| United States | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 23% |
| Lecturer > Senior Lecturer | 3 | 12% |
| Student > Doctoral Student | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 5 | 19% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 31% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Nursing and Health Professions | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Social Sciences | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 5 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2019.
All research outputs
#13,001,255
of 23,015,156 outputs
Outputs from European Journal of Epidemiology
#1,165
of 1,641 outputs
Outputs of similar age
#205,606
of 442,119 outputs
Outputs of similar age from European Journal of Epidemiology
#17
of 28 outputs
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