ArticleInternational journal of colorectal disease2020
Nomogram predicting cancer-specific mortality in early-onset rectal cancer: a competing risk analysis.
Article in International journal of colorectal disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Development and validation of a nomogram to predict overall survival in young non-metastatic rectal cancer patients after curative resection: a population-based analysis.International journal of colorectal disease · 2022Trial
- 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
- Development and validation of a competitive risk model in patients with rectal cancer: based on SEER database.European journal of medical research · 2023Article
- Prediction of death probability in adenocarcinoma of the transverse colon: competing-risk nomograms based on 21,469 patients.Journal of cancer research and clinical oncology · 2023Article
- A narrative review of prognostic indices in the evaluation of gastrointestinal cancers.Journal of gastrointestinal oncology · 2023Review
- Mortality patterns of patients with tonsillar squamous cell carcinoma: a population-based study.Frontiers in endocrinology · 2023Article
- Nomogram predicting the cancer-specific survival of early-onset colorectal cancer patients with synchronous liver metastasis: a population-based study.International journal of colorectal disease · 2022Article
- Nomogram for predicting postoperative cancer-specific early death in patients with epithelial ovarian cancer based on the SEER database: a large cohort study.Archives of gynecology and obstetrics · 2022Article
- Nomograms for Differentiated Thyroid Carcinoma Patients Based on the Eighth AJCC Staging and Competing Risks Model.JNCI cancer spectrum · 2021Article
- Association of chemotherapy with survival in stage II colon cancer patients who received radical surgery: a retrospective cohort study.BMC cancer · 2021Article
- A Competing Risk Nomogram for Predicting Cancer-Specific Death of Patients With Maxillary Sinus Carcinoma.Frontiers in oncology · 2021Article
- Prognostic Significance of Preoperative Lymphocyte-to-C-Reactive Protein Ratio in Patients with Non-Metastatic Colorectal Cancer.OncoTargets and therapy · 2021Article
- Development and Validation of a Nomogram for Predicting Specific Mortality Risk After Surgery for Locally Advanced Rectal Cancer: Studies Based on SEER Database and External Validation Cohorts.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
backgroundThe incidence of rectal cancer has meaningfully increased in young patients. However, quantitative evaluation for the competing data of early-onset rectal cancer is lacking. So, we performed a competing risk analysis to calculate the cumulative incidence of death for patients with early-onset rectal cancer and developed a nomogram to predict the probability of cancer-specific mortality for these patients.
methodsWe abstracted data of patients with early-onset rectal cancer between 2004 and 2016 by using the Surveillance, Epidemiology, and End Results program database. The cumulative incidence function was used to calculate the crude cancer-specific mortality of early-onset rectal cancer. Fine and Gray's proportional sub-distribution hazard model was adopted to explore the risk factors of cancer-specific death. Then, we establish a nomogram to predict their 3-, 5-, and 10-year probabilities.
resultsWe identified 9917 patients with early-onset rectal cancer, and they were randomly divided into training (n = 6941) and validation (n = 2976) cohorts. In the training cohort, the 3-, 5-, and 10-year cumulative incidences of cancer-specific death after diagnosis for early-onset rectal cancer were 11.4%, 19.9%, and 28.8%, respectively. Fine and Gray's model showed that sex, race, marital status, histology, T stage, N stage, M stage, examined lymph nodes, and pretreatment carcinoembryonic antigen were independently associated with cancer-specific mortality. Such factors were selected to develop a prognostic nomogram.
conclusionThe competing risk nomogram has an ideal performance for predictive cancer-specific mortality in early-onset rectal cancer.
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