ArticleGastroenterology research and practice2020
Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis.
Article in Gastroenterology research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The trial behind it
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Who cites it
9 citing papers in PubMed.
- Development and validation of prediction models for the prognosis of colon cancer with lung metastases: a population-based cohort study.Frontiers in endocrinology · 2023Trial
- Nomogram Development for Predicting Synchronous Lung Metastasis in Patients with T1 Colorectal Cancer: An SEER-Based Analysis.Medicina (Kaunas, Lithuania) · 2026Article
- Hot TIPS-Success of Transjugular Intrahepatic Portosystemic Shunt in Patients with Cavernous Transformation of the Portal Vein.Digestive diseases and sciences · 2025Article
- Explainable machine learning for predicting lung metastasis of colorectal cancer.Scientific reports · 2025Article
- Discovery of primary lung cancer following resection of rectal cancer lung metastasis: A case report.World journal of clinical oncology · 2025Article
- The Importance of Marital Status in the Morbidity and Prognosis of Lung Metastasis in Newly Diagnosed Ovarian Cancer.Journal of Cancer · 2023Article
- Nomograms predicting cancer-specific survival for stage IV colorectal cancer with synchronous lung metastases.Scientific reports · 2022Article
- Management of single pulmonary metastases from colorectal cancer: State of the art.World journal of gastrointestinal oncology · 2022Review
- The survival impact of radiotherapy on synchronous metastatic rectal cancer: metastatic site can serve for radiotherapy-decision.Journal of Cancer · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThis study is aimed at investigating predictive and prognostic factors of synchronous colorectal lung-limited metastasis (SCLLM) based on The Surveillance, Epidemiology, and End Results (SEER) database.
methodsA multivariate logistic regression model was constructed to identify independent predictors of SCLLM. A multivariate Cox proportional hazards regression model was used to distinguish independent prognostic factors.
resultsThis study enrolled 168,007 colorectal cancer (CRC) patients without metastatic diseases and 1,298 cases with SCLLM. Eight features, involving race, tumor location, pathological grade, histological type, T stage, N stage, and tumor size as well as CEA, could be used as the independent predictors. As the nomogram shown, the T4 stage contributed the most to SCLLM, followed by the N2 stage, elevated CEA, and rectal cancer. A multivariate regression analysis discriminated 9 independent prognostic factors, including age, race, marital status, pathological grade, T stage, colectomy/proctectomy, chemotherapy, CEA, and TD. The prognostic nomogram illustrated that nonresection/NOS played as the poorest prognostic factor, followed by nonchemotherapy, ≥75-year old and T4 stage. The cumulative survival curves revealed the influence of each prognostic factor on survival after controlling the other variables.
conclusionsThis study identified independent predictors and prognostic factors for SCLLM based on a large database of the United States. The predictors and prognostic factors can provide supporting evidence for the prevention and treatment of SCLLM.
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Registered trials
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