Evidence map›Paper›PMID 35797545›Full record

ArticleAnnals of surgery2023

Lymph Node Ratio Improves Prediction of Overall Survival in Esophageal Cancer Patients Receiving Neoadjuvant Chemoradiotherapy: A National Cancer Database Analysis.

Yajie Zhang, Yuqin Cao, Jiahao Zhang, Maosheng Huang, Pascal Roy, Binhao Huang, Hong Yang, Yi Rong, Yuping Chen, Chengchu Zhu and 10 more

Registry-linked trialAbstract read
In one paragraph

Article in Annals of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06490003 (Predicting Postoperative Chemotherapy Efficacy in Patients With Esophageal Squamous Cell Carcinoma by Biopsy Specimens.), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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.

NCT06490003 recruitingnot on this map

Predicting Postoperative Chemotherapy Efficacy in Patients With Esophageal Squamous Cell Carcinoma by Biopsy Specimens.

TypeobservationalSponsorCity of Hope Medical CenterRan2004 to 2028Enrolled150ConditionsEsophageal Squamous Cell Carcinoma, Chemotherapy Effect, DNA MethylationArmsFluoro Uracil
3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
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  3. SurvGRN: a multi-feature fusion framework for bladder cancer survival prediction.International journal of surgery (London, England) · 2026
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  18. Predictive value of preoperative L3-SMI, AGR, and PNI for overall survival in patients undergoing radical gastrectomy for gastric cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
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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

20 authors.

Yajie ZhangDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yuqin CaoDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jiahao ZhangDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Maosheng HuangDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX.
Pascal RoyUniversity of Lyon, Lyon, France.
Binhao HuangDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Hong YangDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yi RongDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuping ChenDepartment of Thoracic Surgery, Cancer Hospital of Shantou University Medical College, Shantou, China.
Chengchu ZhuDepartment of Thoracic Surgery, Taizhou Hospital, Wenzhou Medical University, Taizhou, China.
Wentao FangDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Zhentao YuDepartment of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and PeKing Union Medical College, Shenzhen, China.
Weimin MaoDepartment of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou, China.
Jiaqing XiangDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yongtao HanDepartment of Thoracic Surgery, Sichuan Cancer Hospital & Research Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Jules LinSection of Thoracic Surgery, University of Michigan, Ann Arbor, MI.
Jie ZhangDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Jianhua FuDepartment of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jie HeDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hecheng LiDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

objectiveThis study aimed to propose a revised ypN (r-ypN) classification based on lymph node ratio (LNR) and to examine its prognostic value in postneoadjuvant esophageal cancer.

backgroundA new postneoadjuvant pathologic (ypTNM) staging classification has been introduced for esophageal cancer. However, the ypN classification currently defined by the number of positive lymph nodes is influenced by the extent of lymphadenectomy.

methodsData on 7195 esophageal cancer patients receiving neoadjuvant chemoradiation were extracted from the National Cancer Database (NCDB). Four r-ypN stages were defined by 3 LNR thresholds (0%, 10%, and 20% using X-tile software). A revised ypTNM (r-ypTNM) classification was developed by solely changing N categories. Kaplan-Meier method and Cox proportional hazards models were used for survival analyses. Akaike information criterion (AIC) and Harrell's concordance index ( C -index) were used to compare the predictive performance of the current and the revised classification. External validation was performed using an independent cohort from the NEOCRTEC5010 clinical trial.

resultsBoth ypN ( P <0.001) and r-ypN ( P <0.001) were independent prognostic factors of overall survival (OS) for esophageal cancer patients. Kaplan-Meier curves demonstrated a better discrimination with r-ypN than ypN categories. Within each ypN category (except ypN3), OS was significantly different comparing r-ypN strata; however, there were no differences between ypN strata within each r-ypN category (except r-ypN3). r-ypN (AIC: 60752 vs 60782; C -index: 0.591 vs 0.587) and r-ypTNM (AIC: 60623 vs 60628; C -index: 0.613 vs 0.610) showed better predictive performance than the current staging system, with a lower AIC (better calibration) and higher C -index (improved discrimination). This advantage was also confirmed by external validation using the NEOCRTEC5010 cohort.

conclusionsLNR showed better performance than ypN in predicting OS of esophageal cancer patients after neoadjuvant chemoradiation and may be an improvement on the current staging system.

Indexed as

Esophageal NeoplasmsLymph NodesHumansLymph Node ExcisionLymph Node RatioNeoadjuvant TherapyNeoplasm StagingPrognosisRetrospective Studies

Identifiers

PMID35797545
PMCPMC11225578

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Registered trials

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.