ArticleInternational journal of colorectal disease2024
The risk factors of lymph node metastasis in early colorectal cancer: a predictive nomogram and risk assessment.
Article in International journal of colorectal disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- ASO Author Reflections: Calibrating Lymph Node Metastasis Risk After Non-curative Endoscopic Resection of pT1 Colorectal Cancer.Annals of surgical oncology · 2026Article
- Calibrated Absolute Risk of Lymph-Node-Metastasis After Non-curative Endoscopic Resection of pT1 Colorectal Cancer.Annals of surgical oncology · 2026Article
- Clinicopathological features and risk stratification for lymph node metastasis in early-stage colorectal cancer (from intramucosal carcinoma to SM2): a large-scale retrospective study based on a Chinese population.Virchows Archiv : an international journal of pathology · 2026Article
- The prognostic role of inflammation-based hematologic markers in stage I-III colorectal cancer: a retrospective analysis.BMC cancer · 2025Article
- Prognostic nomogram for colorectal cancer liver metastasis treated with tumor resection and chemotherapy based on SEER database.Journal of gastrointestinal oncology · 2025Article
- An integrated clinicopathological and genomic model for personalized prognosis in stage II-III colorectal cancer: a real-world study.Frontiers in oncology · 2025Article
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10 authors.
Funding
Abstract
purposeEndoscopic procedures and surgery are common treatments for early colorectal cancer (CRC). However, only approximately 10% of patients who undergo surgery have lymph node metastases (LNM) detected on postoperative pathology, which often leads to overtreatment. This study aims to comprehensively analyze the risk factors for LNM in early CRC patients, establishing a predictive model to aid in treatment decisions.
methodsThis study reviewed the clinicopathologic data of patients with early CRC who underwent surgery from January 2015 to June 2023. Univariate and multivariate logistic regression analyses were employed to identify LNM risk factors. The receiver operating characteristic (ROC) analysis and calibration curves were also constructed to verify the model's discrimination and calibration. A simplified scale was calculated to promote the risk stratification for LNM.
resultsThe study analyzed medical records of 375 patients. Of these, 37 (9.9%) cases had LNM. Univariate analysis identified age, nerve invasion, depth of submucosal invasion, histologic grade, LVI, and tumor budding as risk factors. The multivariate analysis confirmed histologic grade (OR, 13.403; 95% CI, 1.415-126.979; P = 0.024), LVI (OR, 6.703; 95% CI, 2.600-17.284; P < 0.001), and tumor budding (OR, 3.090; 95% CI, 1.082-8.820; P = 0.035) as independent predictors. The optimal nomogram, incorporating six risk factors, demonstrated strong predictability with an area under the ROC curve (AUC) of 0.837 (95% CI, 0.762-0.912). A simplified risk assessment scale with a total score of 19 points was developed.
conclusionThe study developed a nomogram and a simplified risk assessment scale to predict LNM risk, potentially optimizing the management of early CRC patients.
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