ArticleInternational journal of colorectal disease2022
Nomogram predicting the cancer-specific survival of early-onset colorectal cancer patients with synchronous liver metastasis: a population-based study.
Article in International journal of colorectal disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The histological and molecular characteristics of early-onset colorectal cancer: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- The Molecular Signature of Early-Onset Colorectal Cancer Liver Metastases: Distinct Biology and Clinical Challenges.International journal of molecular sciences · 2026Review
- Training and validation of a nomogram for predicting synchronous distant organ metastasis in patients with very-early-onset colorectal cancer.Journal of gastrointestinal oncology · 2026Article
- A predictive nomogram for predicting liver metastasis in early-onset colon cancer: a population-based study.Translational cancer research · 2025Article
- Early Onset Colorectal Cancer: Molecular Underpinnings Accelerating Occurrence.Cellular and molecular gastroenterology and hepatology · 2025Review
- Survival outcome and prognostic factors for early-onset and late-onset metastatic colorectal cancer: a population based study from SEER database.Scientific reports · 2024Article
- Construction and validation of a nomogram for predicting overall survival of patients with stage III/IV early-onset colorectal cancer.Frontiers in oncology · 2024Article
- Obesity and early-onset colorectal cancer risk: emerging clinical evidence and biological mechanisms.Frontiers in oncology · 2024Review
- Prediction of liver and lung metastases in patients with early-onset colorectal cancer by nomograms based on heterogeneous and homogenous risk factors.Cancer medicine · 2023Article
- Establishment and validation of a predictive model of recurrence in primary hepatocellular carcinoma after resection.Journal of gastrointestinal oncology · 2023Article
- Development and validation of a clinical survival model for young-onset colorectal cancer with synchronous liver-only metastases: a SEER population-based study and external validation.Frontiers in oncology · 2023Article
- A nomogram prediction model for lymph node metastasis risk after neoadjuvant chemoradiotherapy in rectal cancer patients based on SEER database.Frontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
purposeThis research aimed to explore prognostic factors for early-onset colorectal cancer (EO-CRC) patients with liver metastasis (LM) and develop nomogram for predicting cancer-specific survival (CSS) probability quantitatively.
methodsOur study included 4368 EO-CRC patients with LM registered in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2017. Potential prognostic factors for EO-CRC patients with LM were identified by multivariable Cox regression analysis. Prognostic nomogram was subsequently constructed based on these prognostic factors. The discriminative ability, calibration, and clinical usefulness of the nomogram were assessed by the area under the receiver operating characteristic (ROC) curves (AUC), calibration curves, and decision curve analysis (DCA).
resultsIn the training cohort, marital status, primary tumor location, histopathological grade, T stage, number of metastatic organs, carcinoembryonic antigen (CEA), perineural invasion (PI), surgery of primary site, chemotherapy, radiation therapy, and metastatic lymph nodes ratio (LNR) were prognostic factors for cancer-specific mortality of EO-CRC patients with LM. The 1-, 2-, and 3-year AUC values of the prognostic nomogram were 0.777, 0.781, and 0.788, respectively. Calibration curves indicated acceptable agreement between nomogram-predicted survival and actual observed survival at 1, 2, and 3 years. DCA curves exhibited good positive net benefits in the prognostic model in most threshold probabilities at different time points. All of these results were reproducible in the validation cohort.
conclusionsThis study identified prognostic factors for EO-CRC patients with LM and developed a prognostic nomogram with good performance and clinical usability, which may help clinicians make better treatment decisions.
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