Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 253

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Predictions of skin cancer incidence in the Netherlands up to 2015

de Vries, E., van de Poll-Franse, L.V., Louwman, W.J., de Gruijl, F.R., Coebergh, J.W.W.·2005·British Journal of Dermatology

Abstract

BACKGROUND: Skin cancer is an important, growing public health problem among white caucasians, causing a heavy burden on dermatologists and general practitioners. OBJECTIVES: To predict the future incidence of skin cancer in the Netherlands up to 2015. METHODS: Expected numbers of skin cancer cases in the Netherlands up to 2015 were calculated by trend modelling of observed rates for melanoma and squamous cell carcinoma (SCC) between 1989 and 2000 obtained from the Netherlands Cancer Registry and for basal cell carcinoma (BCC) obtained from the Eindhoven Cancer Registry; these rates were then multiplied by the predicted age distributions. Incidence rates were fitted to four different models, and predictions were based on the best fitting model. RESULTS: An increase of 80% in the total number of skin cancer patients is expected in the Netherlands: from 20 654 in 2000 to 37 342 in 2015. The total number of melanoma cases is expected to increase by 99%, with the largest increase for males (males aged 35-64, 111%; males aged > or = 65, 139%). Numbers of patients with SCC will increase overall by 80%, mainly among older males and females (increase of 79%) and females aged 35-64 (increase of 93%). The number of cases of BCC will increase by 78%, with the largest increase for the combined groups, those aged 15-64 (males, 66% increase; females, 94% increase), especially for sites other than the head and neck. The contribution of demographic changes (ageing effect) was largest for males with BCC and SCC (35-44%). CONCLUSIONS: If incidence rates for skin cancers in the Netherlands continue to increase and population growth and ageing remain unabated, a rise in annual demand for care of more than 5% could occur, putting a heavy burden on general practitioners and dermatologists. In the absence of marked changes in current ultraviolet radiation exposure, these increases will probably continue after 2015.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1365-2133.2005.06386.x

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 253

Metadata

Authors
de Vries, E., van de Poll-Franse, L. V., Louwman, W. J., de Gruijl, F. R., & Coebergh, J. W. W.
Venue
British Journal of Dermatology
Published
2005-03
Volume
152
Issue
3
Pages
481-488
ISSN
  • 0007-0963 (ISSN-L)
  • 1365-2133
OpenAlex
W2014615159
Cited by
253
References
1
FWCI
10.91
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Predictions of skin cancer incidence in the Netherlands up to 2015. https://app.cochat.ai/papers/10.1111/j.1365-2133.2005.06386.x
The paper
de Vries, E., van de Poll-Franse, L. V., Louwman, W. J., de Gruijl, F. R., & Coebergh, J. W. W. (2005). Predictions of skin cancer incidence in the Netherlands up to 2015. British Journal of Dermatology. https://doi.org/10.1111/j.1365-2133.2005.06386.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.