Evidence map›Paper›PMID 20306044›Full record

ArticleDer Pathologe2010

[Neuroendocrine tumors of the stomach. Risk stratification and therapy].

G Klöppel, H Scherübl

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Pathologe, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. [Surgical approach of gastroduodenal neuroendocrine neoplasms].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2016
    Review
  3. Rare Neoplasia of the Stomach.Gastrointestinal tumors · 2015
    Review
  4. Review
  5. [Gastric neuroendocrine tumors. Endoscopic and surgical treatment].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2011
    Review
  6. Review
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

2 authors at 2 institutions in 1 country.

G KlöppelInstitut für Pathologie, Klinikum rechts der Isar,Technische Universität München, Ismaningerstr. 22, 81675 München. guenter.kloeppel@alumni.uni-kiel.de
H Scherübl
Technical University of Munich · DEVivantes Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis and therapy of neuroendocrine tumors (NETs) of the stomach are based on their exact classification and risk stratification. Since the incidence of gastric NETs has risen sharply over the last 35 years and most tumors are detected endoscopically at an early stage, they have come to represent a challenge for the pathologist. Gastric NETs are classified according to the WHO and TNM classifications and additionally separated into four biologically distinct types: Well differentiated type 1 and 2 gastric NETs (G1) smaller than 2 cm, and type 3 smaller than 1 cm that do not infiltrate the muscularis propria or show angioinvasion have a good prognosis and can be removed endoscopically. Well differentiated type 1 and 2 gastric NETs (G1-G2) larger than 2 cm or type 3 with a diameter above 1 cm or with infiltration of the muscular wall and/or angioinvasion and poorly differentiated (type 4) neuroendocrine carcinomas carry a poor prognosis and need to be treated aggressively. Endosonography is the method of choice for determining the size, depth of infiltration and presence of lymph node metastases. With exact diagnosis and adequate treatment, the majority of patients with gastric NETs have a favorable prognosis.

Indexed as

Endoscopy, Digestive SystemHumansIncidenceLymphatic MetastasisMitosisNeoplasm StagingNeuroendocrine TumorsPrognosisRisk FactorsStomach NeoplasmsTreatment OutcomeUnited States

Identifiers

PMID20306044
OpenAlexW132277905

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.