Application and progress of nomograms in gastric cancer
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 risk...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1510742/full |
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| author | Haiyu Wang Yumin Ding Min Zhuang Kaixu Li Shujing Zhao Dehong Li |
| author_facet | Haiyu Wang Yumin Ding Min Zhuang Kaixu Li Shujing Zhao Dehong Li |
| author_sort | Haiyu Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-74044f160c8f48c389fc90646ee01093 |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-74044f160c8f48c389fc90646ee010932025-01-29T06:45:38ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-01-011210.3389/fmed.2025.15107421510742Application and progress of nomograms in gastric cancerHaiyu Wang0Yumin Ding1Min Zhuang2Kaixu Li3Shujing Zhao4Dehong Li5School of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, ChinaSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, ChinaCollege of Acupuncture-Moxibustion and Tuina, Gansu University of Chinese Medicine, Lanzhou, Gansu, ChinaSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, ChinaSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, ChinaDepartment of Blood Transfusion, Gansu Provincial Hospital, Lanzhou, Gansu, ChinaGastric 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.https://www.frontiersin.org/articles/10.3389/fmed.2025.1510742/fullgastric cancernomogramrisk predictiondisease assessmenttreatment responseprognosis evaluation |
| spellingShingle | Haiyu Wang Yumin Ding Min Zhuang Kaixu Li Shujing Zhao Dehong Li Application and progress of nomograms in gastric cancer Frontiers in Medicine gastric cancer nomogram risk prediction disease assessment treatment response prognosis evaluation |
| title | Application and progress of nomograms in gastric cancer |
| title_full | Application and progress of nomograms in gastric cancer |
| title_fullStr | Application and progress of nomograms in gastric cancer |
| title_full_unstemmed | Application and progress of nomograms in gastric cancer |
| title_short | Application and progress of nomograms in gastric cancer |
| title_sort | application and progress of nomograms in gastric cancer |
| topic | gastric cancer nomogram risk prediction disease assessment treatment response prognosis evaluation |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1510742/full |
| work_keys_str_mv | AT haiyuwang applicationandprogressofnomogramsingastriccancer AT yuminding applicationandprogressofnomogramsingastriccancer AT minzhuang applicationandprogressofnomogramsingastriccancer AT kaixuli applicationandprogressofnomogramsingastriccancer AT shujingzhao applicationandprogressofnomogramsingastriccancer AT dehongli applicationandprogressofnomogramsingastriccancer |