Risk prediction of second primary malignancies in patients with primary gastric neuroendocrine neoplasms: a population-based study
- Peipei Yang 1,2, Yuanyuan Xu 1,2, Wenjie Huang 1,3, Qiurong Li 1,2, Peng Shu 4,5
- Peipei Yang 1,2, Yuanyuan Xu 1,2, Wenjie Huang 1,3
- 1Affiliated Hospital of Nanjing University of Chinese Medicine, No.155, Hanzhong Road, Nanjing, 210029, Jiangsu, China.
- 2The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
- 3School of Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
- 4Affiliated Hospital of Nanjing University of Chinese Medicine, No.155, Hanzhong Road, Nanjing, 210029, Jiangsu, China. shupengsp@njucm.edu.cn.
- 5The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China. shupengsp@njucm.edu.cn.
- 0Affiliated Hospital of Nanjing University of Chinese Medicine, No.155, Hanzhong Road, Nanjing, 210029, Jiangsu, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Patients with gastric neuroendocrine neoplasms (GNENs) have a high risk of developing second primary malignancies (SPMs). This study identified key risk factors and developed a nomogram to predict SPM occurrence in GNENs patients, aiding clinical decision-making.
Area Of Science
- Gastroenterology
- Oncology
- Epidemiology
Background
- Patients with gastric neuroendocrine neoplasms (GNENs) exhibit an increased risk of second primary malignancies (SPMs).
- Current predictive tools for personalized SPM risk assessment in GNENs patients are limited.
Purpose Of The Study
- To identify risk factors associated with SPM development in GNENs patients.
- To develop a novel competing-risk nomogram for predicting SPM occurrence in this population.
Main Methods
- Utilized data from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2015).
- Employed Fine and Gray's proportional sub-distribution hazards model to identify risk factors.
- Constructed and validated a competing-risk nomogram using ROC curves and calibration plots.
Main Results
- Out of 5160 GNENs patients, 18.7% developed SPMs.
- Identified independent risk factors: age, marital status, tumor size, histopathological grade, disease extent, and T staging.
- The developed nomogram demonstrated robust predictive accuracy for SPM occurrence.
Conclusions
- Key risk factors for SPMs in GNENs patients have been identified.
- A validated nomogram is introduced for effective SPM risk prediction.
- This tool can assist clinicians in risk stratification and treatment planning for GNENs patients.
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