A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study
Abstract Background Precisely predicting the short- and long-term survival of patients with cancer is important. The tumor-node-metastasis (TNM) stage can accurately predict the long-term, but not short-term, survival of cancer. Nutritional status can affect the individual status and short-term outc...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-01-01
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| Series: | Nutrition & Metabolism |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12986-022-00719-8 |
| _version_ | 1828069756448538624 |
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| author | Guo-Tian Ruan Meng-Meng Song Kang-Ping Zhang Hai-Lun Xie Qi Zhang Xi Zhang Meng Tang Xiao-Wei Zhang Yi-Zhong Ge Ming Yang Li-Chen Zhu Han-Ping Shi |
| author_facet | Guo-Tian Ruan Meng-Meng Song Kang-Ping Zhang Hai-Lun Xie Qi Zhang Xi Zhang Meng Tang Xiao-Wei Zhang Yi-Zhong Ge Ming Yang Li-Chen Zhu Han-Ping Shi |
| author_sort | Guo-Tian Ruan |
| collection | DOAJ |
| description | Abstract Background Precisely predicting the short- and long-term survival of patients with cancer is important. The tumor-node-metastasis (TNM) stage can accurately predict the long-term, but not short-term, survival of cancer. Nutritional status can affect the individual status and short-term outcomes of patients with cancer. Our hypothesis was that incorporating TNM stage and nutrition-related factors into one nomogram improves the survival prediction for patients with colorectal cancer (CRC). Method This multicenter prospective primary cohort included 1373 patients with CRC, and the internal validation cohort enrolled 409 patients with CRC. Least absolute shrinkage and selection operator regression analyses were used to select prognostic indicators and develop a nomogram. The concordance (C)-index, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the prognostic discriminative ability of the nomogram, TNM stage, Patient-Generated Subjective Global Assessment (PGSGA), and TNM stage + PGSGA models. The overall survival (OS) curve of risk group stratification was calculated based on the nomogram risk score. Results TNM stage, radical resection, reduced food intake, activities and function declined, and albumin were selected to develop the nomogram. The C-index and calibration plots of the nomogram showed good discrimination and consistency for CRC. Additionally, the ROC curves and DCA of the nomogram showed better survival prediction abilities in CRC than the other models. The stratification curves of the different risk groups of the different TNM categories were significantly different. Conclusion The novel nomogram showed good short- and long-term outcomes of OS in patients with CRC. This model provides a personalized and convenient prognostic prediction tool for clinical applications. |
| first_indexed | 2024-04-11T00:24:14Z |
| format | Article |
| id | doaj.art-9de1402f431b4cc28f00cdfe89ba7d57 |
| institution | Directory Open Access Journal |
| issn | 1743-7075 |
| language | English |
| last_indexed | 2024-04-11T00:24:14Z |
| publishDate | 2023-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Nutrition & Metabolism |
| spelling | doaj.art-9de1402f431b4cc28f00cdfe89ba7d572023-01-08T12:06:18ZengBMCNutrition & Metabolism1743-70752023-01-0120111210.1186/s12986-022-00719-8A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter studyGuo-Tian Ruan0Meng-Meng Song1Kang-Ping Zhang2Hai-Lun Xie3Qi Zhang4Xi Zhang5Meng Tang6Xiao-Wei Zhang7Yi-Zhong Ge8Ming Yang9Li-Chen Zhu10Han-Ping Shi11Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityDepartment of Immunology, School of Preclinical Medicine, Guangxi Medical UniversityDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical UniversityAbstract Background Precisely predicting the short- and long-term survival of patients with cancer is important. The tumor-node-metastasis (TNM) stage can accurately predict the long-term, but not short-term, survival of cancer. Nutritional status can affect the individual status and short-term outcomes of patients with cancer. Our hypothesis was that incorporating TNM stage and nutrition-related factors into one nomogram improves the survival prediction for patients with colorectal cancer (CRC). Method This multicenter prospective primary cohort included 1373 patients with CRC, and the internal validation cohort enrolled 409 patients with CRC. Least absolute shrinkage and selection operator regression analyses were used to select prognostic indicators and develop a nomogram. The concordance (C)-index, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the prognostic discriminative ability of the nomogram, TNM stage, Patient-Generated Subjective Global Assessment (PGSGA), and TNM stage + PGSGA models. The overall survival (OS) curve of risk group stratification was calculated based on the nomogram risk score. Results TNM stage, radical resection, reduced food intake, activities and function declined, and albumin were selected to develop the nomogram. The C-index and calibration plots of the nomogram showed good discrimination and consistency for CRC. Additionally, the ROC curves and DCA of the nomogram showed better survival prediction abilities in CRC than the other models. The stratification curves of the different risk groups of the different TNM categories were significantly different. Conclusion The novel nomogram showed good short- and long-term outcomes of OS in patients with CRC. This model provides a personalized and convenient prognostic prediction tool for clinical applications.https://doi.org/10.1186/s12986-022-00719-8Colorectal cancerNomogramTNM stageNutritionOverall survival |
| spellingShingle | Guo-Tian Ruan Meng-Meng Song Kang-Ping Zhang Hai-Lun Xie Qi Zhang Xi Zhang Meng Tang Xiao-Wei Zhang Yi-Zhong Ge Ming Yang Li-Chen Zhu Han-Ping Shi A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study Nutrition & Metabolism Colorectal cancer Nomogram TNM stage Nutrition Overall survival |
| title | A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study |
| title_full | A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study |
| title_fullStr | A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study |
| title_full_unstemmed | A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study |
| title_short | A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study |
| title_sort | novel nutrition related nomogram for the survival prediction of colorectal cancer results from a multicenter study |
| topic | Colorectal cancer Nomogram TNM stage Nutrition Overall survival |
| url | https://doi.org/10.1186/s12986-022-00719-8 |
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