ArticleBioscience reports2019
Development and validation of a prognostic nomogram for early-onset colon cancer.
Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis.International journal of colorectal disease · 2021Trial
- Development and external validation of a nomogram predicting overall survival after curative resection of colon cancer.The Journal of international medical research · 2021Trial
- A clinicopathological and hematological biomarker-based nomogram for overall survival in early-onset colorectal cancer: development, external validation, and translational implications.Translational cancer research · 2026Article
- A predictive nomogram for predicting liver metastasis in early-onset colon cancer: a population-based study.Translational cancer research · 2025Article
- Construction and validation of a nomogram for predicting overall survival of patients with stage III/IV early-onset colorectal cancer.Frontiers in oncology · 2024Article
- Causes of death among early-onset colorectal cancer population in the United States: a large population-based study.Frontiers in oncology · 2023Article
- [Establishment and validation of a predictive nomogram for liver fibrosis in patients with Wilson disease and abnormal lipid metabolism].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
- Development and validation of a survival prediction model for 113,239 patients with colon cancer: a retrospective cohort study.Journal of gastrointestinal oncology · 2022Article
- Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study.International journal of environmental research and public health · 2021Article
- NDC1 is a Prognostic Biomarker and Associated with Immune Infiltrates in Colon Cancer.International journal of general medicine · 2021Article
- Establishment of prognostic nomogram for elderly colorectal cancer patients: a SEER database analysis.BMC gastroenterology · 2020Article
- Identification of prognostic biomarkers and drug target prediction for colon cancer according to a competitive endogenous RNA network.Molecular medicine reports · 2020Article
- Development and validation of a nomogram to predict the overall survival of patients with neuroblastoma.Medicine · 2020Article
- Application of an Autophagy-Related Gene Prognostic Risk Model Based on TCGA Database in Cervical Cancer.Frontiers in genetics · 2020Article
- Development of a Novel Six-miRNA-Based Model to Predict Overall Survival Among Colon Adenocarcinoma Patients.Frontiers in oncology · 2020Article
- Genome-Wide Identification of a Novel Autophagy-Related Signature for Colorectal Cancer.Dose-response : a publication of International Hormesis SocietyArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study was to develop a prognostic nomogram to predict overall survival (OS) and cancer-specific survival (CSS) in early-onset colon cancer (COCA, age < 50). Patients diagnosed as COCA between 2004 and 2015 were retrieved from the surveillance, epidemiology, and end results (SEER) database. All included patients were assigned into training and validation sets. Univariate and multivariate analysis were used to identify independent prognostic variables for the construction of nomogram. The discrimination and calibration plots were used to measure the accuracy of the nomogram. A total of 11220 patients were included from the SEER database. The nomograms were established based on the variables significantly associated with OS and CSS using cox regression models. Calibration plots indicated that both nomograms in OS and CSS exhibited high correlation to actual observed results. The nomograms also displayed improved discrimination power than tumor-node-metastasis (TNM) stage and SEER stage both in the training and validation sets. The monograms established in the present study provided an alternative tool to both OS and CSS prognostic prediction compared with TNM and SEER stages.
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