The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Gastroenteropancreatic high‐grade neuroendocrine carcinoma
Abstract
Gastroenteropancreatic (GEP) neuroendocrine neoplasms are classified as low‐grade, intermediate‐grade, and high‐grade tumors based on morphologic criteria and the proliferation rate. Most studies have been conducted in patients with well differentiated (low‐grade to intermediate‐grade) neuroendocrine tumors. Data are substantially scarcer on poorly differentiated, high‐grade neuroendocrine carcinoma (NEC), which includes the entities of small cell carcinoma and large cell NEC. A literature search of GEP‐NEC was performed. Long‐term survival was poor even among patients who presented with localized disease. Several studies highlighted heterogeneity within the high‐grade NEC category and a need for the further identification of discreet prognostic and predictive groups. Tumors with a Ki‐67 proliferation index <55% were less responsive to platinum‐based chemotherapy, and patients with such tumors or with well differentiated morphology had better survival than patients who had tumors with poorly differentiated morphology or a higher Ki‐67 index. Treatment options beyond platinum‐based chemotherapy are emerging. A revision of the World Health Organization high‐grade NEC classification seems to be necessary based on recent data. Platinum‐based chemotherapy may not be the optimal treatment for patients who have GEP‐NEC with a moderately high proliferation rate. Adequate diagnostic and prognostic stratifications constitute the basis for future progress. Cancer 2014;120:2814–2823. © 2014 American Cancer Society.
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
Cites
WHO Classification of Tumours of the Digestive System
Bosman, F. T. (2010) · Medical Entomology and Zoology · Cited by 5,041
Yao, J. C., Hassan, M., Phan, A., Dagohoy, C., Leary, C., Mares, J. E., Abdalla, E. K., Fleming, J. B., Vauthey, J.-N., Rashid, A., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.15.4377 · Cited by 4,510
Self-citationPathology and genetics of tumours of the lung , pleura, thymus and heart
Travis, W. D. (2004) · Cited by 1,955
Sorbye, H., Welin, S., Langer, S. W., Vestermark, L. W., Holt, N., Osterlund, P., Dueland, S., Hofsli, E., Guren, M. G., Ohrling, K., et al. (2013) · Annals of Oncology · doi:10.1093/annonc/mds276 · Cited by 1,027
Self-citationMoertel, C. G., Kvols, L. K., O'Connell, M. J., & Rubin, J. (1991) · Cancer · doi:10.1002/1097-0142(19910715)68:2<227::aid-cncr2820680202>3.0.co;2-i · Cited by 840
Markou, K. D., Nikolaou, A. C., & Themelis, C. (2011) · Cited by 756
Histological Typing of Endocrine Tumours
Solcia, E., Klöppel, G., & Sobin, L. H. (2000) · Springer eBooks · doi:10.1007/978-3-642-59655-1 · Cited by 747
Consensus Guidelines for the Management and Treatment of Neuroendocrine Tumors
Kunz, P. L., Reidy-Lagunes, D., Anthony, L. B., Bertino, E. M., Brendtro, K., Chan, J. A., Chen, H., Jensen, R. T., Kim, M. K., Klimstra, D. S., et al. (2013) · Pancreas · doi:10.1097/mpa.0b013e31828e34a4 · Cited by 580
Self-citationYachida, S., Vakiani, E., White, C. M., Zhong, Y., Saunders, T., Morgan, R., de Wilde, R. F., Maitra, A., Hicks, J., DeMarzo, A. M., et al. (2012) · American Journal of Surgical Pathology · doi:10.1097/pas.0b013e3182417d36 · Cited by 534
Self-citationFynn, R. W. (1959) · PubMed · Cited by 502
Cited by
Tang, L. H., Basturk, O., Sue, J. J., & Klimstra, D. S. (2016) · American Journal of Surgical Pathology · doi:10.1097/pas.0000000000000662 · Cited by 382
Self-citationGarske-Román, U., Sandström, M., Fröss Baron, K., Lundin, L., Hellman, P., Welin, S., Johansson, S., Khan, T., Lundqvist, H., Eriksson, B., et al. (2018) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-3945-z · Cited by 254
Metadata
- Authors
- Sorbye, H., Strosberg, J., Baudin, E., Klimstra, D. S., & Yao, J. C.
- Venue
- Cancer
- Publisher
- Wiley
- Published
- 2014-04-25
- Volume
- 120
- Issue
- 18
- Pages
- 2814-2823
- ISSN
- 0008-543X (ISSN-L)
- 1097-0142
- OpenAlex
- W1555094309
- Cited by
- 347
- References
- 47
- FWCI
- 22.70
- 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: Gastroenteropancreatic high‐grade neuroendocrine carcinoma. https://app.cochat.ai/papers/10.1002/cncr.28721
- The paper
- Sorbye, H., Strosberg, J., Baudin, E., Klimstra, D. S., & Yao, J. C. (2014). Gastroenteropancreatic high‐grade neuroendocrine carcinoma. Cancer. https://doi.org/10.1002/cncr.28721
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.