Evidence map›Paper›PMID 23076685›Full record

ReviewSurgery today2013

Surgery for a gastroenteropancreatic neuroendocrine tumor (GEPNET) in multiple endocrine neoplasia type 1.

Kazuhiro Hanazaki, Akihiro Sakurai, Masaya Munekage, Kengo Ichikawa, Tsutomu Namikawa, Takehiro Okabayashi, Masayuki Imamura

Abstract readReview
PubMed Publisher
In one paragraph

Review in Surgery today, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Observational
  6. Review
  7. Review
  8. Laparoscopic resection of pancreatic neuroendocrine tumors.World journal of gastroenterology · 2014
    Review
  9. Article
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

7 authors at 1 institution in 1 country.

Kazuhiro HanazakiDepartment of Surgery, Kochi Medical School, Kochi University, Kohasu, Okocho, Nankoku, Kochi, 783-8505, Japan. hanazaki@kochi-u.ac.jp
Akihiro Sakurai
Masaya Munekage
Kengo Ichikawa
Tsutomu Namikawa
Takehiro Okabayashi
Masayuki Imamura
Kōchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple endocrine neoplasia type 1 (MEN1) is an autosomal dominantly inherited endocrine tumor syndrome characterized by tumor development in various endocrine organs such as the parathyroid, endocrine pancreas, anterior pituitary and adrenal cortex. The first extensive database for Asian patients with MEN1 was established by the MEN Consortium of Japan. Although the clinical features of Japanese patients with MEN1 are similar to those from Western countries, there are several characteristic differences between them. In particular, gastroenteropancreatic neuroendocrine tumor (GEPNET) is seen in approximately 60 % of patients with MEN1 in Japan. Although its development is the strongest prognostic factor in patients with MEN1, the characteristics of MEN1-associated GEPNET still remain unclear. This is especially true for the differences in clinical features of GEPNET with and without MEN1. Improved long-term survival is obtained by curative surgery for patients with MEN1-associated GEPNET. The current surgical indications are expanding even in patients with hepatic metastases because of the improved surgical outcome. This article reviews the clinical characteristics in these patients with a particular focus on surgery, diagnosis, surgical indications, surgical method, and surgical outcome.

Indexed as

Digestive System Surgical ProceduresHumansMultiple Endocrine Neoplasia Type 1Neuroendocrine TumorsPancreatic NeoplasmsStomach Neoplasms

Identifiers

PMID23076685
OpenAlexW2049174359

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.