The DOI matches its Crossref record.
Epidemiology of Neuroendocrine Tumours
Abstract
Neuroendocrine tumours account for only 0.5% of all malignancies. The incidence is approximately 2/100,000 with a female preponderance under the age of 50 years due to appendiceal location. The main primary sites are the gastrointestinal tract (62–67%) and the lung (22–27%). Presentation with metastatic disease accounts for 12–22%. In the last decades, the incidence has been rising. This might be due to more awareness, improved diagnostic tools or a change in definition. Most neuroendocrine tumours are mainly sporadic, but association with the multiple endocrine neoplasia type 1 syndrome and clustering within families is known. Also an increased risk of secondary cancers has been reported, but numbers are small. The 5-year survival is mainly associated with stage: 93% in local disease, 74% in regional disease and 19% in metastatic disease. In metastatic disease, survival increased since 1992, when treatment with octreotide became largely available in the Netherlands.
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.
Integrity signals
Registry
Cites
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.
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
Niederle, M. B., Hackl, M., Kaserer, K., & Niederle, B. (2010) · Endocrine-Related Cancer · doi:10.1677/erc-10-0152 · Cited by 444
Panzuto, F., Nasoni, S., Falconi, M., Corleto, V. D., Capurso, G., Cassetta, S., Di Fonzo, M., Tornatore, V., Milione, M., Angeletti, S., et al. (2005) · Endocrine-Related Cancer · doi:10.1677/erc.1.01017 · Cited by 391
Shi, M., Jakobsson, V., Greifenstein, L., Khong, P.-L., Chen, X., Baum, R. P., & Zhang, J. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.1034315 · Cited by 68
Ghrelin in neuroendocrine organs and tumours
Leontiou, C. A., Franchi, G., & Korbonits, M. (2007) · Pituitary · doi:10.1007/s11102-007-0023-0 · Cited by 40
Metadata
- Authors
- Taal, B. G., & Visser, O.
- Venue
- Neuroendocrinology
- Publisher
- S. Karger AG
- Published
- 2004
- Volume
- 80
- Issue
- Suppl. 1
- Pages
- 3-7
- ISSN
- 0028-3835 (ISSN-L)
- 1423-0194
- OpenAlex
- W2053825882
- Cited by
- 381
- References
- 0
- FWCI
- 3.83
- 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: Epidemiology of Neuroendocrine Tumours. https://app.cochat.ai/papers/10.1159/000080731
- The paper
- Taal, B. G., & Visser, O. (2004). Epidemiology of Neuroendocrine Tumours. Neuroendocrinology. https://doi.org/10.1159/000080731
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.
