Evidence map›Paper›PMID 27517157›Full record

ArticleOncotarget2016

Lymph node ratio-based staging system as an alternative to the current TNM staging system to assess outcome in adenocarcinoma of the esophagogastric junction after surgical resection.

Hongdian Zhang, Xiaobin Shang, Chuangui Chen, Yongyin Gao, Xiangming Xiao, Peng Tang, Xiaofeng Duan, Mingjian Yang, Hongjing Jiang, Zhentao Yu

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Hongdian ZhangDepartment of Esophageal Cancer, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.
Xiaobin ShangDepartment of Esophageal Cancer, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.
Chuangui ChenDepartment of Esophageal Cancer, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.
Yongyin GaoDepartment of Cardiopulmonary Function, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.
Xiangming XiaoDepartment of General Surgery, Weifang People's Hospital, Shandong, China.
Peng TangDepartment of Esophageal Cancer, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.
Xiaofeng DuanDepartment of Esophageal Cancer, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.
Mingjian YangDepartment of Esophageal Cancer, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.
Hongjing JiangDepartment of Esophageal Cancer, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.
Zhentao YuDepartment of Esophageal Cancer, Tianjin Medical University, Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the prognostic value of the hypothetical tumor-N-ratio (rN)-metastasis (TrNM) staging system in adenocarcinoma of the esophagogastric junction (AEG). The clinical data of 387 AEG patients who received surgical resection were retrospectively reviewed. The optimal cut-off point of rN was calculated by the best cut-off approach using log-rank test. Kaplan-Meier plots and Cox regressions model were applied for univariate and multivariate survival analyses. A TrNM staging system based on rN was proposed. The discriminating ability of each staging was evaluated by using an adjusted hazard ratio (HR) and a -2log likelihood. The prediction accuracy of the model was assessed by using the area under the curve (AUC) and the Harrell's C-index. The number of examined lymph nodes (LNs) was correlated with metastatic LNs (r = 0.322, P < 0.001) but not with rN (r = 0.098, P > 0.05). The optimal cut-points of rN were calculated as 0, 0~0.3, 0.3~0.6, and 0.6~1.0. Univariate analysis revealed that pN and rN classifications significantly influenced patients' RFS and OS (P < 0.001). Multivariate analysis adjusted for significant factors revealed that rN was recognized as an independent risk factor. A larger HR, a smaller -2log likelihood and a larger prediction accuracy were obtained for rN and the modified TrNM staging system. Taken together, our study demonstrates that the proposed N-ratio-based TrNM staging system is more reliable than the TNM staging system in evaluating prognosis of AEG patients after curative resection.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overEsophageal NeoplasmsEsophagogastric JunctionFemaleHumansLymph NodesMaleMiddle AgedNeoplasm StagingPrognosisRisk FactorsTreatment OutcomeYoung Adultadenocarcinoma of the esophagogastric junctionlymph node metastasismetastatic lymph node ratioprognosistumor-N-ratio-metastasis (TrNM) staging system

Identifiers

PMID27517157
PMCPMC5342057

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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.