ArticleInternational journal of general medicine2025
Analysis of Risk Factors and Development of a Predictive Model for Prognosis in Early-Stage Rectal Cancer Patients.
Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Relationship Between the Product of Pre-Treatment Neutrophil and Monocyte Counts and Clinical Outcomes in Rectal Cancer With Suspected Lateral Lymph Node Metastasis.Annals of gastroenterological surgery · 2026Article
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1 author.
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Abstract
Background: Early-stage rectal cancer remains a significant clinical challenge due to variable patient outcomes. Identifying prognostic factors and developing an accurate predictive model is essential for optimizing treatment strategies and improving survival. Methods: This retrospective study enrolled 156 patients with histologically confirmed early-stage rectal cancer treated from January 2016 to December 2019. Patients with complete clinical, pathological, and laboratory data and a minimum follow-up of 5 years were included. Data on demographics, body mass index, carcinoembryonic antigen levels, tumor characteristics, and lymph node status were extracted from electronic medical records. Univariate survival analysis was performed using the Log rank test, followed by multivariate analysis via Cox proportional hazards regression. A prognostic nomogram was constructed using the rms package, and its performance was evaluated with the concordance index and Hosmer-Lemeshow test. Internal validation was conducted through 1000 bootstrap resampling iterations. Results: Univariate analysis demonstrated that factors such as age, BMI, CEA levels, T stage, lymph node metastasis, tumor histology, and lymph node retrieval significantly influenced 5-year overall survival. Multivariate analysis confirmed these variables as independent prognostic factors. The resulting nomogram, incorporating seven risk factors, exhibited robust discriminative ability with a corrected C-index of 0.806 (95% CI, 0.768-0.861) and excellent calibration (Hosmer-Lemeshow χ² = 2.865, P = 0.891). Conclusion: The predictive nomogram developed in this study provides a practical and reliable tool for individualized risk assessment and treatment planning in early-stage rectal cancer patients, potentially enhancing clinical decision-making and patient outcomes.
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