ArticleWorld journal of gastrointestinal surgery2024
Prognostic value of a nomogram model for postoperative liver metastasis of colon cancer.
Article in World journal of gastrointestinal surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 3 citations in OpenAlex.
- Machine learning for predicting liver metastasis in colorectal cancer.Discover oncology · 2026Article
- Complete blood counts as potential risk factors of early dissemination to liver and lungs in resected colorectal cancer: a retrospective cohort study.International journal of colorectal disease · 2025Article
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4 authors at 1 institution in 1 country.
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Abstract
backgroundColon cancer is one of the most common malignant tumors of the digestive system. Liver metastasis after colon cancer surgery is the primary cause of death in patients with colon cancer.
aimTo construct a novel nomogram model including various factors to predict liver metastasis after colon cancer surgery.
methodsWe retrospectively analyzed 242 patients with colon cancer who were admitted and underwent radical resection for colon cancer in Zhejiang Provincial People's Hospital from December 2019 to December 2022. Patients were divided into liver metastasis and non-liver metastasis groups. Sex, age, and other general and clinicopathological data (preoperative blood routine and biochemical test indexes) were compared. The risk factors for liver metastasis were analyzed using single-factor and multifactorial logistic regression. A predictive model was then constructed and evaluated for efficacy.
resultsSystemic inflammatory index (SII), C-reactive protein/albumin ratio (CAR), red blood cell distribution width (RDW), alanine aminotransferase, preoperative carcinoembryonic antigen level, and lymphatic metastasis were different between groups (
conclusionLiver metastases after colorectal cancer surgery could be well predicted by a nomogram based on the SII, CAR, and RDW.
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