Evidence map›Paper›PMID 39210382›Full record

ArticleJournal of translational medicine2024

Prognostic significance of an innovative staging system based on the logarithmic odds of positive lymph nodes for resectable gastroesophageal cancer after neoadjuvant chemoradiation: a population-based study with external validation of data.

Shuang Liu, Zhengmiao Wang, Yanyan Ge, Yixuan Zhao

Abstract readValidation Study
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Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Prognostic value of PLN, LNR, and LODDS in advanced colorectal signet ring cell carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shuang LiuDepartment of Ultrasound, The Second Hospital of Jilin University, Changchun, 130000, China.
Zhengmiao WangDepartment of Ultrasound, The Second Hospital of Jilin University, Changchun, 130000, China.
Yanyan GeDepartment of Ultrasound, The Second Hospital of Jilin University, Changchun, 130000, China.
Yixuan ZhaoDepartment of Ultrasound, The Second Hospital of Jilin University, Changchun, 130000, China. yxzhao@jlu.edu.cn.ORCID 0000-0001-7990-4755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter receiving neoadjuvant chemoradiation, the number of examined lymph nodes in resectable gastroesophageal cancer (GEC) will decrease, this may not accurately determine the N staging. So our study evaluates the clinical significance of a new staging model based on the logarithmic odds of positive lymph nodes (LODDS) in patients with GEC after receiving neoadjuvant chemoradiation.

methodsA total of 1 130 patients with pathologically diagnosed GEC who received neoadjuvant chemoradiation from 2004 to 2019 included in the National Cancer Institute Surveillance, Epidemiology, and Results (SEER) database were selected for analysis. Lymph nodes were staged according to the AJCC TNM staging system (eighth edition) and LODDS. Patient prognosis across the two systems were evaluated by the Kaplan-Meier method, differences in node staging were evaluated by the Akaike information criterion and Bayesian information criterion. In addition, 914 patients from our center were externally validated.

resultsCompared to the traditional TNM staging system, the new TLODDSM staging system was comprised of stage I, stage II, stage IIIA, stage IIIB, and stage IVA, and decision curve analysis showed that the new staging system had higher benefits for different decision thresholds than the old staging system. The Akaike information criterion and Bayesian information criterion of the new staging system was lower than those of the old staging system, indicating the sensitivity of the TLODDSM staging system for predicting the prognosis of patients was higher. In addition, stage-IIIB or -IVA patients in the new staging system benefited from adjuvant chemotherapy. The externally validated data from our center supported this conclusion.

conclusionsCompared to the TNM staging system, the TLODDSM staging system has significant advantages in predicting prognosis of patients with GEC who have completed neoadjuvant chemoradiation, guiding the adjuvant chemotherapy for patients.

Indexed as

Esophageal NeoplasmsLymph NodesNeoadjuvant TherapyNeoplasm StagingStomach NeoplasmsAdultAgedChemoradiotherapyFemaleHumansKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedOdds RatioPrognosisGastroesophageal cancerLODDSNeoadjuvant chemoradiationOSStaging

Identifiers

PMID39210382
PMCPMC11360786

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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.