Evidence map›Paper›PMID 25343095›Full record

ReviewIntractable & rare diseases research2013

Primary gastrointestinal stromal tumors: Current advances in diagnostic biomarkers, prognostic factors and management of its duodenal location.

Yuesi Zhong, Meihai Deng, Bo Liu, Cheng Chen, Mingliang Li, Ruiyun Xu

Abstract readReview
In one paragraph

Review in Intractable & rare diseases research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Clinical comparative analysis of various duodenal diseases in different age groups.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2020
    Article
  6. Article
  7. EGIST: a Rare Tumor.Journal of gastrointestinal cancer · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors.

Yuesi ZhongDepartment of Hepatobiliary Surgery, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China;
Meihai DengDepartment of Hepatobiliary Surgery, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China;
Bo LiuDepartment of General Surgery, Lingnan Hospital of Sun Yat-Sen University, Guangzhou, China.
Cheng ChenDepartment of Hepatobiliary Surgery, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China;
Mingliang LiDepartment of Hepatobiliary Surgery, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China;
Ruiyun XuDepartment of Hepatobiliary Surgery, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal stromal tumors (GIST) constitute 1-3% of all gastrointestinal malignancies and is the most common mesenchymal tumor of the gastrointestinal tract. Although GIST were first described in the literature in the year 1941, important advances of kit mutation and tyrosine kinase inhibitors were not made to understand and manage GIST until the last decade. Here current advances in research of possible cellular origin, diagnostic biomarkers and prognostic factors of primary GIST are reviewed, and the management of primary duodenal GIST is focused on due to its specific location. It is possible that personalized assessment and therapy will turn out to be another milestone for primary GIST.

Indexed as

diagnostic biomarkerGastrointestinal stromal tumorprimary duodenal GISTprognostic factor

Identifiers

PMID25343095
PMCPMC4204577

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.