ArticleCancer control : journal of the Moffitt Cancer Center
Competitive Risk Analysis of Prognosis in Patients With Cecum Cancer: A Population-Based Study.
Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- Long-term trends in the incidence of male breast cancer and nomogram for predicting survival in male breast cancer patients: a population-based epidemiologic study.Scientific reports · 2025Article
- Factors influencing disease-free survival after radical endometrial cancer surgery: an analysis of the competitive risk prediction mode.American journal of translational research · 2025Article
- Nomogram model for predicting cancer-specific mortality in patients with early-onset colorectal cancer: a competing risk analysis insight from the SEER database and an external validation cohort.Translational cancer research · 2024Article
- Article
- New findings in prognostic factor assessment for adenocarcinoma of transverse colon: a comparison study between competing-risk and COX regression analysis.Frontiers in medicine · 2024Article
- A Competing Risk Model Nomogram to Predict the Long-Term Prognosis of Lung Carcinoid.Annals of surgical oncology · 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
- Competing risk models versus traditional Cox models for prognostic factors' prediction and care recommendation in patients with advanced laryngeal squamous carcinoma: a population-based study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023Article
- A nomogram for predicting cause-specific mortality among patients with cecal carcinoma: a study based on SEER database.BMC gastroenterology · 2023Article
- Influencing factors for mortality in prostate cancer patients with T1 and T2 stage: a retrospective cohort study.Translational andrology and urology · 2023Article
- Clinical characteristics and prostate-cancer-specific mortality of competitive risk nomogram in the second primary prostate cancer.Frontiers in oncology · 2023Article
- Impact of marital status on overall survival in patients with early-stage hepatocellular carcinoma.Scientific reports · 2022Article
- Detection of secondary upper gastrointestinal tract cancer during follow-up esophagogastroduodenoscopy after gastrectomy for gastric cancer.Annals of gastroenterological surgery · 2022Article
- Competing risk of the specific mortality among Asian-American patients with prostate cancer: a surveillance, epidemiology, and end results analysis.BMC urology · 2022Article
- Survival Comparison Between Squamous Cell Carcinoma and Adenocarcinoma for Radiotherapy-Treated Patients with Stage IIB-IVA Cervical Cancer.Frontiers in oncology · 2022Article
- Artificial intelligence assists precision medicine in cancer treatment.Frontiers in oncology · 2022Review
- Data mining in clinical big data: the frequently used databases, steps, and methodological models.Military Medical Research · 2021Review
- Evaluation and Prediction Analysis of 3- and 5-Year Survival Rates of Patients with Cecal Adenocarcinoma Based on Period Analysis.International journal of general medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe presence of competing risks means that the results obtained using the classic Cox proportional-hazards model for the factors affecting the prognosis of patients diagnosed with cecum cancer (CC) may be biased.
objectiveThe purpose of this study was to establish a competitive risk model for patients diagnosed with CC to evaluate the relevant factors affecting the prognosis of patients, and to compare the results with the classical COX proportional risk model.
methodsWe extracted data on patients diagnosed with CC registered between 2004 and 2016 in the Surveillance, Epidemiology, and End Results (SEER) database. The univariate analysis utilized the cumulative incidence function and Gray's test, while a multivariate analysis was performed using the Fine-Gray, cause-specific (CS), and Cox proportional-hazards models.
resultsThe 54463 eligible patients diagnosed with CC included 24387 who died: 12087 from CC and 12300 from other causes. The multivariate Fine-Gray analysis indicated that significant factors affecting the prognosis of patients diagnosed with CC include: age, race, AJCC stage, differentiation grade, tumor size, surgery, radiotherapy, chemotherapy and regional lymph nodes metastasis. Due to the presence of competitive risk events, COX model results could not provide accurate estimates of effects and false-negative results occurred. In addition, COX model misestimated the direction of association between regional lymph node metastasis and cumulative risk of death in patients diagnosed with CC. Competitive risk models tend to be more advantageous when analyzing clinical survival data with multiple endpoints.
conclusionsThe present study can help clinicians to make better clinical decisions and provide patients diagnosed with CC with better support.
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