Evidence map›Paper›PMID 42151464›Full record

ArticleSurgical endoscopy2026

Nomogram for preoperative prediction of lymph node metastasis in patients with early submucosal right-sided colon cancer: a dual-center retrospective cohort study.

Fei Han, Yuling Liu, Yaning Wang, Jie Wang, Weiming Xiao, Xue Dong, Xiaolei Shi, Yanbing Ding

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fei Han *The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225000, Jiangsu, China.
Yuling Liu *Yancheng Third People's Hospital, Yancheng, 224008, Jiangsu, China.
Yaning Wang *The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225000, Jiangsu, China.
Jie WangYangzhou University, Yangzhou, 225000, China.
Weiming XiaoThe Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225000, Jiangsu, China.
Xue DongThe First Affiliated Hospital of China Medical University, Shenyang, China.
Xiaolei ShiThe Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225000, Jiangsu, China.
Yanbing DingThe Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225000, Jiangsu, China. ybding@yzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative lymph node metastasis (LNM) risk stratification is crucial for selecting endoscopic resection or colectomy in T1 right-sided colon cancer (T1 RCC), yet validated tools integrating preoperative predictive indicators remain lacking.

methodsThis retrospective study included 628 patients with T1 RCC. Single-predictor and multi-predictor logistic regression models identified independent preoperative predictors of LNM to construct a nomogram. Model performance was assessed using area under the curve (AUC) and calibration metrics.

resultsSix preoperative factors constituted independent predictors of LNM: age (OR = 0.92, 95% CI: 0.88-0.97), tumor location (hepatic flexure: OR = 3.50, 95% CI: 1.68-7.31), poorly differentiated tumor (OR = 4.21, 95% CI: 2.23-7.94), CT-detected lymphadenopathy (OR = 5.14, 95% CI: 2.79-9.46), elevated CEA (OR = 3.26, 95% CI: 1.77-6.01), and elevated CA 19-9 (OR = 1.98, 95% CI: 1.04-3.77). This predictive model demonstrated high discriminatory ability: 0.84 AUC in training preserved at 0.83 upon validation. Calibration curves demonstrated optimal agreement with observed outcomes, supported by a non-significant Hosmer-Lemeshow test. Decision curve analysis further established robust clinical net benefit across threshold probabilities.

conclusionThis preoperative predictive model accurately quantifies the risk of LNM in T1 RCC using routine parameters, guiding individualized treatment decisions and preventing unnecessary colectomy in low-risk patients.

Indexed as

Colonic NeoplasmsLymphatic MetastasisNomogramsAgedColectomyFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentEarly right-sided colon cancerLymph node metastasisNomogramRisk factorsSubmucosa

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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.