Application of Clinical Prediction Models for Postoperative Complications of Colorectal Cancer
Postoperative complications of colorectal cancer (CRC) are the main cause of postoperative death and seriously affect the quality of life and survival time of patients. The application of a clinical prediction model for postoperative complications of CRC can help promptly identify high-risk patients...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Magazine House of Cancer Research on Prevention and Treatment
2023-09-01
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| Series: | Zhongliu Fangzhi Yanjiu |
| Subjects: | |
| Online Access: | http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2023.23.0293 |
| _version_ | 1797671722118283264 |
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| author | LIN Hao HU Ting WANG Chaoyang ZHANG Haibao JU Jiahua YU Yongjiang |
| author_facet | LIN Hao HU Ting WANG Chaoyang ZHANG Haibao JU Jiahua YU Yongjiang |
| author_sort | LIN Hao |
| collection | DOAJ |
| description | Postoperative complications of colorectal cancer (CRC) are the main cause of postoperative death and seriously affect the quality of life and survival time of patients. The application of a clinical prediction model for postoperative complications of CRC can help promptly identify high-risk patients. Accordingly, reasonable intervention measures can be actively taken to reduce the incidence of postoperative complications of CRC. A scientific basis can also be provided to improve the prognosis of patients. In this work, literature on the risk-factor analysis and prediction-model construction of postoperative complications of CRC at home and abroad in recent years was collected and reviewed. The evaluation content and efficiency of the clinical prediction models in postoperative complications of CRC were summarized. Their advantages and disadvantages were also analyzed. The purpose of this study was to provide a reference for the subsequent optimization of such models and the development of a strong, clinically practical, and universal risk-screening tool for postoperative complications of CRC. |
| first_indexed | 2024-03-11T21:19:40Z |
| format | Article |
| id | doaj.art-2718e1793ce44b3286044904eaea71f1 |
| institution | Directory Open Access Journal |
| issn | 1000-8578 |
| language | zho |
| last_indexed | 2024-03-11T21:19:40Z |
| publishDate | 2023-09-01 |
| publisher | Magazine House of Cancer Research on Prevention and Treatment |
| record_format | Article |
| series | Zhongliu Fangzhi Yanjiu |
| spelling | doaj.art-2718e1793ce44b3286044904eaea71f12023-09-28T08:05:29ZzhoMagazine House of Cancer Research on Prevention and TreatmentZhongliu Fangzhi Yanjiu1000-85782023-09-0150990891210.3971/j.issn.1000-8578.2023.23.02938578.2023.23.0293Application of Clinical Prediction Models for Postoperative Complications of Colorectal CancerLIN Hao0HU Ting1WANG Chaoyang2ZHANG Haibao3JU Jiahua4YU Yongjiang5The First Clinical Medical College of Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, ChinaPostoperative complications of colorectal cancer (CRC) are the main cause of postoperative death and seriously affect the quality of life and survival time of patients. The application of a clinical prediction model for postoperative complications of CRC can help promptly identify high-risk patients. Accordingly, reasonable intervention measures can be actively taken to reduce the incidence of postoperative complications of CRC. A scientific basis can also be provided to improve the prognosis of patients. In this work, literature on the risk-factor analysis and prediction-model construction of postoperative complications of CRC at home and abroad in recent years was collected and reviewed. The evaluation content and efficiency of the clinical prediction models in postoperative complications of CRC were summarized. Their advantages and disadvantages were also analyzed. The purpose of this study was to provide a reference for the subsequent optimization of such models and the development of a strong, clinically practical, and universal risk-screening tool for postoperative complications of CRC.http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2023.23.0293colorectal cancercomplicationsclinical prediction modelrisk factors |
| spellingShingle | LIN Hao HU Ting WANG Chaoyang ZHANG Haibao JU Jiahua YU Yongjiang Application of Clinical Prediction Models for Postoperative Complications of Colorectal Cancer Zhongliu Fangzhi Yanjiu colorectal cancer complications clinical prediction model risk factors |
| title | Application of Clinical Prediction Models for Postoperative Complications of Colorectal Cancer |
| title_full | Application of Clinical Prediction Models for Postoperative Complications of Colorectal Cancer |
| title_fullStr | Application of Clinical Prediction Models for Postoperative Complications of Colorectal Cancer |
| title_full_unstemmed | Application of Clinical Prediction Models for Postoperative Complications of Colorectal Cancer |
| title_short | Application of Clinical Prediction Models for Postoperative Complications of Colorectal Cancer |
| title_sort | application of clinical prediction models for postoperative complications of colorectal cancer |
| topic | colorectal cancer complications clinical prediction model risk factors |
| url | http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2023.23.0293 |
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