ArticleMedical science monitor : international medical journal of experimental and clinical research2020
A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Performance of Survival Prediction Tools in Patients With Gastrointestinal Stromal Tumors: A Systematic Review and Meta-Analysis.Journal of surgical oncology · 2026Pooled it
- An early novel prognostic model for predicting 80-day survival of patients with COVID-19.Frontiers in cellular and infection microbiology · 2022Trial
- Predicting the prognosis of small intestinal stromal tumors in the post-imatinib era: a study based on the SEER database.Translational cancer research · 2026Article
- A machine learning model integrating clinical-radiomics-deep learning features accurately predicts postoperative recurrence and metastasis of primary gastrointestinal stromal tumors.Insights into imaging · 2025Article
- Radiomics-based predictive model for preoperative risk classification of gastrointestinal stromal tumors using multiparametric magnetic resonance imaging: a retrospective study.Radiologie (Heidelberg, Germany) · 2024Article
- Endoscopic resection for non-ampullary duodenal subepithelial lesions: a retrospective cohort study.International journal of colorectal disease · 2024Article
- Evaluating nomogram models for predicting survival outcomes in gastric gastrointestinal stromal tumors with SEER database analysis.Scientific reports · 2024Article
- Survival analysis of extragastrointestinal stromal tumors based on the SEER database: a population-based study.Surgical endoscopy · 2023Article
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- Improving Outcomes in the Advanced Gastrointestinal Stromal Tumors: The Role of the Multidisciplinary Team Discussion Intervention.Journal of personalized medicine · 2023Article
- Sex differences in patients with gastrointestinal stromal tumours: do they exist and does it affect survival?ESMO open · 2022Review
- Postoperative Adjuvant Imatinib Therapy-Associated Nomogram to Predict Overall Survival of Gastrointestinal Stromal Tumor.Frontiers in medicine · 2022Article
- Construction and validation of a prognostic model for gastrointestinal stromal tumors based on copy number alterations and clinicopathological characteristics.Frontiers in oncology · 2022Article
- Development and validation of a prognostic model to predict the prognosis of patients with colorectal gastrointestinal stromal tumor: A large international population-based cohort study.Frontiers in oncology · 2022Article
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND The aim of this study was to construct a nomogram to predict the prognosis of patients with gastrointestinal stromal tumor (GIST). MATERIAL AND METHODS We enrolled 4086 GIST patients listed in the SEER database from 1998 to 2015. They were separated to 2 groups: an experimental group (n=2862) and a verification group (n=1224). A nomogram was constructed by using statistically significant prognostic factors. RESULTS A nomogram that included age, sex, marital status, tumor location, grade, SEER stage, tumor size, and surgical management was developed. It can be used to predict overall survival (OS), while adding AJCC 7th TNM stage can predict cancer-specific survival (CSS). The C-index used to forecast OS and CSS nomograms was 0.778 (95% CI, 0.76-0.79) and 0.818 (95% CI, 0.80-0.84), respectively. CONCLUSIONS The nomogram can effectively predict 3- and 5-year CSS in patients with GIST, and its use can improve clinical practice.
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