Evidence map›Paper›PMID 40538517›Full record

ArticleWorld journal of gastroenterology2025

Evaluating log odds of positive lymph nodes as a prognostic tool in differentiated gastric cancer: A retrospective study.

Ming-Cong Deng, Ken Chen, Qi-Mei Bao, Yi-Xing Huang, Chun-Kai Zhang, Yu-Ke Zhong, Han-Yi He, Dan Zu, Chen Liang, Hai-Dong Liu and 13 more

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 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

23 authors.

Ming-Cong DengZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Ken ChenZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Qi-Mei BaoZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Yi-Xing HuangZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Chun-Kai ZhangZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Yu-Ke ZhongZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Han-Yi HeZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Dan ZuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Chen LiangZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Hai-Dong LiuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Yang-Chan HuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Guo-Xia LiuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Yan-Hua HeZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Wei-Xing WuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Jing-Nan ZhouZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Yao-Shu TengDepartment of Otorhinolaryngology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou 310006, Zhejiang Province, China.
Ji JingZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Yin ShiSchool of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang Province, China.
Clive Yik-Sham ChungSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Chen-Huan YuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Yi-An DuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Zu YeZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.
Xiang-Dong ChengZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe log odds of positive lymph nodes (LODDS) are correlated with survival outcomes in gastric cancer (GC) patients. However, the prognostic value across different tumor differentiation levels remains unclear.

aimTo evaluate the independent prognostic value of LODDS and the stratified predictive efficacy in GC patients with different histologic differentiations.

methodsWe conducted a retrospective analysis of 2103 GC patients who underwent radical gastrectomy at Zhejiang Cancer Hospital. The prognostic value of LODDS was compared with that of other lymph node-based metrics, including the pathologic N stage, number of positive lymph nodes, number of total lymph nodes, and lymph node ratio, stratified by tumor differentiation.

resultsLODDS was identified as an independent prognostic factor for overall survival in moderately to poorly differentiated GC patients. LODDS demonstrated superior predictive accuracy over other lymph node metrics. A nomogram incorporating LODDS, age, carbohydrate antigen (CA) 125, carcinoembryonic antigen, and tumor differentiation showed good predictive accuracy (C-index = 0.703). A higher LODDS was significantly associated with an increased risk of recurrence or metastasis, poorly differentiated tumors, advanced cancer, mucinous gastric adenocarcinoma, nerve invasion, and vascular tumor thrombus. Additionally, LODDS was positively correlated with the tumor markers CA19-9, CA72-4, CA125, and CA242 (all

conclusionLODDS is an independent prognostic indicator for patients with moderately and poorly differentiated GC, and its predictive performance is superior to that of other models.

Indexed as

Lymph NodesNeoplasm Recurrence, LocalStomach NeoplasmsAdultAgedBiomarkers, TumorCell DifferentiationFemaleGastrectomyHumansLymphatic MetastasisLymph Node ExcisionMaleMiddle AgedNeoplasm StagingNomogramsBiomarkers, TumorGastric cancerLog odds of positive lymph nodesOverall survivalTumor differentiationTumor marker

Identifiers

PMID40538517
PMCPMC12175849

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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.