ArticleTechnology in cancer research & treatment
A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinicopathological Features and Prognostic-Related Risk Factors of Gastric Signet Ring Cell Carcinoma: A Meta-Analysis.Computational and mathematical methods in medicine · 2022Pooled it
- Development and validation of nomograms for predicting overall survival and cancer-specific survival in female gastric signet-ring cell carcinoma: a SEER database analysis.Translational cancer research · 2026Article
- Development and validation of a novel prognostic model for gastric signet ring cell carcinoma based on inflammation-nutrition indicators.Frontiers in nutrition · 2026Article
- Analysis of clinicopathological features, treatment modalities, and survival outcomes in advanced gastric and colorectal signet ring cell carcinoma.Discover oncology · 2025Article
- Development and validation of a nomogram for predicting survival in gastric signet ring cell carcinoma patients treated with radiotherapy.Scientific reports · 2024Article
- Review
- Construction of a novel clinical nomogram to predict cancer-specific survival in patients with primary malignant adrenal tumors: a large population-based retrospective study.Frontiers in medicine · 2023Article
- A population-based predictive model to identify patients with signet ring cell carcinoma of the stomach who are most suitable for primary tumor resection.World journal of surgical oncology · 2022Article
- Construction, Validation, and Visualization of Two Web-Based Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Elderly Patients with Primary Osseous Spinal Neoplasms.Journal of oncology · 2022Article
- Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study.BioMed research international · 2022Article
- A Novel Prognostic Nomogram and Risk Classification System for Predicting Cancer-Specific Survival of Postoperative Fibrosarcoma Patients: A Large Cohort Retrospective Study.Journal of oncology · 2022Article
- Predicting Overall Survival in Patients with Nonmetastatic Gastric Signet Ring Cell Carcinoma: A Machine Learning Approach.Computational and mathematical methods in medicine · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of our study was to develop a nomogram model to predict overall survival (OS) and cancer-specific survival (CSS) in patients with gastric signet ring cell carcinoma (GSRC).
methodsGSRC patients from 2004 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database and randomly assigned to the training and validation sets. Multivariate Cox regression analyses screened for OS and CSS independent risk factors and nomograms were constructed.
resultsA total of 7,149 eligible GSRC patients were identified, including 4,766 in the training set and 2,383 in the validation set. Multivariate Cox regression analysis showed that gender, marital status, race, AJCC stage, TNM stage, surgery and chemotherapy were independent risk factors for both OS and CSS. Based on the results of the multivariate Cox regression analysis, prognostic nomograms were constructed for OS and CSS. In the training set, the C-index was 0.754 (95% CI = 0.746-0.762) for the OS nomogram and 0.762 (95% CI: 0.753-0.771) for the CSS nomogram. In the internal validation, the C-index for the OS nomogram was 0.758 (95% CI: 0.746-0.770), while the C-index for the CSS nomogram was 0.762 (95% CI: 0.749-0.775). Compared with TNM stage and SEER stage, the nomogram had better predictive ability. In addition, the calibration curves also showed good consistency between the predicted and actual 3-year and 5-year OS and CSS.
conclusionThe nomogram can effectively predict OS and CSS in patients with GSRC, which may help clinicians to personalize prognostic assessments and clinical decisions.
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