A Predictive Nomogram for Early Death of Metastatic Gastric Cancer: A Retrospective Study in the SEER Database and China
- PMID: 32742500
- PMCID: PMC7391207
- DOI: 10.7150/jca.46563
A Predictive Nomogram for Early Death of Metastatic Gastric Cancer: A Retrospective Study in the SEER Database and China
Abstract
Background: To identify associated risk factors and develop a predictive nomogram for the early death of metastatic gastric cancer patients. Methods: A total of 4575 patients in the SEER cohort and 220 patients in the Chinese cohort diagnosed with metastatic gastric cancer in our Cancer Center were obtained. Univariate and multivariate logistic regression models were used to identify independent risk variables for early death. A predictive nomogram and a web-based probability calculator were developed and then validated by receiver operating characteristics (ROCs) curve and calibration plot in a Chinese cohort. Results: Eight independent variables, including race, grade, surgery, chemotherapy, and metastases of bone, brain, liver, lung were recognized by using univariate and multivariate logistic regression models for identifying independent risk variables of early death about metastatic gastric cancer patients. By comprising these variables, a predictive nomogram and a web-based probability calculator were constructed in the SEER cohort. Then, it could be validated well in the Chinese cohort by receiver operating characteristics (ROCs) curve and calibration plot. Conclusion: Using this nomogram model provided an insightful and applicable tool to distinguish the early death of metastatic gastric cancer patients.
Keywords: Early death; Nomogram; SEER; Stage IV; Stomach neoplasm.
© The author(s).
Conflict of interest statement
Competing Interests: The authors have declared that no competing interest exists.
Figures
Similar articles
-
Development and Validation of a Simple-to-Use Nomogram to Predict Early Death in Metastatic Pancreatic Adenocarcinoma.Front Oncol. 2021 Sep 9;11:729175. doi: 10.3389/fonc.2021.729175. eCollection 2021. Front Oncol. 2021. PMID: 34568061 Free PMC article.
-
A Simple-To-Use Nomogram for Predicting Early Death in Metastatic Renal Cell Carcinoma: A Population-Based Study.Front Surg. 2022 Mar 22;9:871577. doi: 10.3389/fsurg.2022.871577. eCollection 2022. Front Surg. 2022. PMID: 35392061 Free PMC article.
-
Dynamic prediction of long-term survival in patients with primary gastric diffuse large B-cell lymphoma: a SEER population-based study.BMC Cancer. 2019 Sep 3;19(1):873. doi: 10.1186/s12885-019-5993-6. BMC Cancer. 2019. PMID: 31481021 Free PMC article.
-
The Construction and Development of a Clinical Prediction Model to Assess Lymph Node Metastases in Osteosarcoma.Front Public Health. 2022 Jan 6;9:813625. doi: 10.3389/fpubh.2021.813625. eCollection 2021. Front Public Health. 2022. PMID: 35071175 Free PMC article.
-
Predictive nomograms for early death in metastatic bladder cancer.Front Surg. 2023 Jan 13;9:1037203. doi: 10.3389/fsurg.2022.1037203. eCollection 2022. Front Surg. 2023. PMID: 36713648 Free PMC article.
Cited by
-
Significant Prognostic Factor at Age Cut-off of 73 Years for Advanced Ovarian Serous Cystadenocarcinoma Patients: Insights from Real-World Study.Int J Womens Health. 2024 Feb 3;16:203-218. doi: 10.2147/IJWH.S439335. eCollection 2024. Int J Womens Health. 2024. PMID: 38332982 Free PMC article.
-
Development and validation of nomogram for predicting early recurrence after radical gastrectomy of gastric cancer.World J Surg Oncol. 2024 Jan 19;22(1):21. doi: 10.1186/s12957-023-03294-1. World J Surg Oncol. 2024. PMID: 38243254 Free PMC article. Clinical Trial.
-
A predictive model for early death in elderly colorectal cancer patients: a population-based study.Front Oncol. 2023 Dec 18;13:1278137. doi: 10.3389/fonc.2023.1278137. eCollection 2023. Front Oncol. 2023. PMID: 38173840 Free PMC article.
-
Risk factors and predictive models for early death in patients with advanced melanoma: A population-based study.Medicine (Baltimore). 2023 Oct 6;102(40):e35380. doi: 10.1097/MD.0000000000035380. Medicine (Baltimore). 2023. PMID: 37800813 Free PMC article.
-
A web-based nomogram to predict overall survival for postresection leiomyosarcoma patients with lung metastasis.Medicine (Baltimore). 2023 Oct 6;102(40):e35478. doi: 10.1097/MD.0000000000035478. Medicine (Baltimore). 2023. PMID: 37800795 Free PMC article.
References
-
- Thrift AP, El-Serag HB. Burden of Gastric Cancer. Clin Gastroenterol Hepatol. 2020;18:534–42. - PubMed
-
- Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F. et al. Cancer statistics in China, 2015. CA: a cancer journal for clinicians. 2016;66:115–32. - PubMed
-
- Monti M, Massa I, Foca F, Morgagni P, Framarini M, Passardi A. et al. Retrospective analysis of gastric cancer management in a real-world setting: a single-institution experience. Tumori. 2020;106:165–71. - PubMed
LinkOut - more resources
Full Text Sources
