Evidence map›Paper›PMID 36185305›Full record

ArticleFrontiers in oncology2022

A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma.

Liming Li, Wenpeng Huang, Ping Hou, Weiwei Li, Menyun Feng, Yiyang Liu, Jianbo Gao

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Liming LiDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wenpeng HuangDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ping HouDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Weiwei LiDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Menyun FengDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yiyang LiuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jianbo GaoDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study was to develop a preoperative risk scoring model for distinguishing lymphoepithelioma-like gastric carcinoma (LELGC) from non-LELGC based on contrast-enhanced computed tomography (CT) images. Methods: Clinicopathological features and CT findings of patients with LELGC and non-LELGC in our hospital from January 2016 to July 2022 were retrospectively analyzed and compared. A preoperative risk stratification model and a risk scoring system were developed using logistic regression. Results: Twenty patients with LELGC and 40 patients with non-LELGC were included in the training cohort. Significant differences were observed in Epstein-Barr virus (EBV) infection and vascular invasion between the two groups ( Conclusion: A preoperative risk identification model based on CT imaging data could be helpful for distinguishing LELGC from non-LELGC.

Indexed as

Epstein-Barr virusgastric cancerlymphoepithelioma-like carcinomanomogramtomographyX-ray computed

Identifiers

PMID36185305
PMCPMC9522524

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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.