Evidence map›Paper›PMID 17684761›Full record

ReviewVirchows Archiv : an international journal of pathology2007

Site-specific biology and pathology of gastroenteropancreatic neuroendocrine tumors.

Günter Klöppel, Guido Rindi, Martin Anlauf, Aurel Perren, Paul Komminoth

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06523582 (Genetic Bases of Neuroendocrine Neoplasms in Mexican Patients), which is not on this map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06523582 recruitingnot on this mapstarted 2022, after this paper: background citation

Genetic Bases of Neuroendocrine Neoplasms in Mexican Patients

TypeobservationalSponsorUniversidad Nacional Autonoma de MexicoRan2022 to 2037Enrolled750ConditionsNeuroendocrine Neoplasm, Neuroendocrine Neoplasm of Gastrointestinal Tract, Neuroendocrine Neoplasm of Lung, Thymic Neuroendocrine Neoplasm
3 · Its place in the literature

Who cites it

69 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Pituitary neuroendocrine tumors: a model for neuroendocrine tumor classification.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Günter KlöppelDepartment of Pathology, University of Kiel, Michaelisstr. 11, 24105, Kiel, Germany. guenterkloeppel@path.uni-kiel.de
Guido Rindi
Martin Anlauf
Aurel Perren
Paul Komminoth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are composed of cells with a neuroendocrine phenotype. Well-differentiated tumors, well-differentiated carcinomas, poorly differentiated carcinomas, functioning tumors (with a hormonal syndrome), and nonfunctioning tumors are identified. To predict their clinical behavior, these neuroendocrine tumors are classified on the basis of their clinicopathological features, including size, local invasion, angioinvasion, proliferative activity, histological differentiation, and metastases, into neoplasms with benign, uncertain, low-grade malignant and high-grade malignant behavior. In addition, a tumor/nodes/metastases classification and a grading system are presented. In the light of these criteria, the various GEP-NET entities are reviewed.

Indexed as

Digestive System NeoplasmsHumansNeuroendocrine Tumors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.