Evidence map›Paper›PMID 26807239›Full record

ArticleMolecular and clinical oncology2015

Computed tomography imaging characteristics of synchronous gastrointestinal stromal tumors in patients with gastric cancer and correlation with clinicopathological findings.

Zhenshan Shi, Qian Zhuang

Open access · diamondAbstract read
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Article in Molecular and clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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.

Zhenshan ShiDepartment of Radiology, The First Affiliated Hospital of Fujian Medical University, P.R. China.
Qian ZhuangDepartment of Pharmacy, Union Hospital of Fujian Medical University, Fuzhou, Fujian 350005, P.R. China.
First Affiliated Hospital of Fujian Medical University · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted to analyze the computed tomography (CT) imaging and clinicopathological characteristics of synchronous gastrointestinal stromal tumors (GISTs) in patients with gastric cancer. We retrospectively reviewed the CT images in 18 cases of immunohistochemically confirmed synchronous GISTs in patients with primary gastric cancer. Relevant histology and clinical data were also obtained. Multi-slice CT (MSCT) identified suspected synchronous GISTs in 26 patients, of which 18 were finally confirmed. Of the 18 patients, 12 were male and 6 female, with a mean age of 69.2 years. All 18 lesions were discovered as a solitary mass, ranging in size from 1.0 to 6.5 cm (mean, 2.2 cm). The lesions were predominantly located in the gastric fundus and were characterized by an ovoid shape, well-defined margins and isodensity, with slight to moderate gradual enhancement on MSCT. There was no evidence of necrosis, hemorrhage or cystic degeneration, irrespective of the tumor size. Synchronous GISTs exhibited spindle cell morphological characteristics and specific immunohistochemical properties, and were classified as being of low or very low malignant potential. In conclusion, since gastric cancer patients with a synchronous GIST are rare, a solitary, ovoid and well-defined mass with slight to moderate gradual enhancement following contrast agent injection may be suggestive of this diagnosis, although detection of synchronous GISTs does not appear to significantly affect therapy and outcome.

Indexed as

computed tomographygastric cancergastrointestinal stromal tumors

Identifiers

PMID26807239
PMCPMC4665946
OpenAlexW2170447606

What OpenQuestion holds

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Registered trials

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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.