Evidence map›Paper›PMID 30746230›Full record

ArticleJournal of thoracic disease2018

A model based on endoscopic morphology of submucosal esophageal squamous cell carcinoma for determining risk of metastasis on lymph nodes.

Lingdun Zhuge, Shengfei Wang, Juntao Xie, Binhao Huang, Difan Zheng, Shanbo Zheng, Hengyu Mao, Arjun Pennathur, Manuel Villa Sanchez, James D Luketich and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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4 · The record

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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

13 authors at 3 institutions in 2 countries.

Lingdun ZhugeDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Shengfei WangDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Juntao XieDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Binhao HuangDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Difan ZhengDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Shanbo ZhengDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Hengyu MaoDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Arjun PennathurDepartment of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Manuel Villa SanchezDepartment of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
James D LuketichDepartment of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Jiaqing XiangDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Haiquan ChenDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Jie ZhangDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CNUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is important to identify patients with esophageal squamous cell carcinoma (ESCC) in T1b stage that are the least likely to metastasize on the lymph nodes, to undergo endoscopic resection, especially for the patients unfit for esophagectomy. The relationship between endoscopic morphology and frequency of nodal metastasis has never been well studied. The aims of the study were to investigate the predictive value of endoscopic morphology for lymphatic metastasis, and to develop a risk stratification model in submucosal (T1b) ESCC.

methodsPathologic variables of patients with T1b ESCC who underwent esophagectomy from 2006 through 2016 were collected and divided into training sets (patients between 2006 and 2011) and validation sets (patients between 2012 and 2016). The endoscopic morphology of the tumor was determined by analyzing endoscopic reports according to the Paris classification. The correlation between the clinicopathological factors and nodal metastasis was examined. A prediction model was developed to estimate the risk of metastasis using these predictors.

resultsA total of 175 patients were included in this study. A tumor with an endoscopic shape of flat type (0-II type as Paris classification was defined) was significantly related to lower risk of lymphatic metastasis with the frequency of 15.5% (OR: 3.049, 95% CI: 1.363-6.819, P=0.005). The combination of endoscopic morphology with other pathologic characteristics including lymphovascular invasion, length of tumor, depth of tumor invasion into submucosa, and tumor differentiation improved the predictive value of the nodal metastasis. The risk stratification model was developed with a C-index of 0.726 (95% CI: 0.702-0.751), which identified a low risk subgroup with a lymph node rate of 7.2%.

conclusionsOur results suggest that when a tumor is in flat shape (0-II type) it is related to a less lymphatic metastasis, and the combination of the endoscopic morphology with the other four pathologic variables can yield a more robust approach to predict the risk of lymphatic metastasis in submucosal ESCC.

Indexed as

Esophageal carcinomaflat typelymph node metastasessubmucosal

Identifiers

PMID30746230
PMCPMC6344677
OpenAlexW2902765629

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