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REVIEW article
Front. Med.
Sec. Gastroenterology
Volume 12 - 2025 |
doi: 10.3389/fmed.2025.1510742
This article is part of the Research Topic Clinical prediction models in cancer through bioinformatics View all 4 articles
Application and Progress of Nomograms in Gastric Cancer
Provisionally accepted- 1 Gansu University of Chinese Medicine, Lanzhou, Gansu, China
- 2 Gansu Provincial Hospital, Lanzhou, China
Gastric cancer, as one of the malignant tumors with a significant disease burden globally, emphasizes the importance of early diagnosis and personalized treatment for improving patient prognosis. In recent years, clinical prediction models (CPMs) have played a crucial role in predicting disease risks, assisting medical decision-making, and evaluating clinical prognosis and benefits as tools for risk-benefit assessment. Nomograms, as an important visualization form of clinical prediction models, have been increasingly applied in tumor-related research. Numerous studies have constructed multiple nomogram models by integrating clinical, pathological, laboratory, imaging data, and genetic characteristics, providing an accurate and effective tool for predicting the risk of gastric cancer, early diagnosis, treatment response assessment, and prognosis analysis. This article aims to review the current clinical applications and research progress of nomograms in gastric cancer, with the goal of providing robust references and theoretical support for clinical practice.
Keywords: gastric cancer, nomogram, risk prediction, Disease assessment, treatment response, Prognosis evaluation
Received: 13 Oct 2024; Accepted: 14 Jan 2025.
Copyright: © 2025 Wang, Ding, Zhuang, Li, Zhao and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
De hong Li, Gansu Provincial Hospital, Lanzhou, China
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