Bibliographic Details
| Title: |
Effect of comorbidity classes on survival of patients with gastrointestinal tract cancer |
| Authors: |
Linna Gao, Tian Yao, Shaohua Ge, Jiuwei Cui, Wei Li, Zengqing Guo, Hongxia Xu, Min Weng, Suyi Li, Qinghua Yao, Wen Hu, Lan Zhou, Junqiang Chen, Xianghua Wu, Qingchuan Zhao, Hongli Li, Hanping Shi, Yi Ba, He Huang, The Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC) Group |
| Source: |
BMC Cancer, Vol 25, Iss 1, Pp 1-10 (2025) |
| Publisher Information: |
BMC, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: |
Gastrointestinal tract cancer, Comorbidity, Predictive model, Overall survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| More Details: |
Abstract Background Comorbidities may complicate medical situations and have an impact on the treatment decisions and poor survival of cancer patients. How comorbidities cluster together and ultimately affect patients’ outcomes in gastrointestinal tract cancer (GTC) is a poorly understood area. Methods In a multicenter prospective observational study from 2012 to 2021, we grouped the comorbidities of patients with GTC by latent class analysis, obtaining two comorbidity classes. Cox regression models were initially used to predict mortality. LASSO techniques were used to reduce the dimension. The final model included the comorbidity classes and nine more predictors. Additionally, the performance of different simple multimorbidity measures were compared using the Bayesian information criterion (BIC), ROC curves and C-index. Finally, the performance of the final model was analyzed using ROC curves, calibration curves and decision curves. The nomogram was drawn to evaluate the model. Results We included 10,019 patients and obtained two comorbidity classes. Class 2 patients have a higher incidence of comorbidities, and a lower survival rate compared to Class 1 (P |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1471-2407 |
| Relation: |
https://doaj.org/toc/1471-2407 |
| DOI: |
10.1186/s12885-025-13517-1 |
| Access URL: |
https://doaj.org/article/11f15172b1ca461aa577797a158f9ac4 |
| Accession Number: |
edsdoj.11f15172b1ca461aa577797a158f9ac4 |
| Database: |
Directory of Open Access Journals |
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