Huizhi Zhang, Xingxing Wang, Hongxiang Wang, Junchi Li, Kai Lei, Run Hu, Zuojin Liu
{"title":"开发并验证一个模型,用于预测哪些 HCC 患者可从多次 TACE 中获益。","authors":"Huizhi Zhang, Xingxing Wang, Hongxiang Wang, Junchi Li, Kai Lei, Run Hu, Zuojin Liu","doi":"10.1007/s10238-024-01516-8","DOIUrl":null,"url":null,"abstract":"<p><p>This study was to develop and validate a model for predicting who can benefit from multiple transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma (HCC) patients.228 and 98 patients were included in the development and validation sets, respectively. The primary clinical endpoint was benefiting from consecutive multiple TACE treatments. Logistic regression analysis was used to screen the independent risk factors for the clinical endpoint. The independent risk factors were then used to construct the predictive model. The area under receiver operating characteristic (ROC) curves, calibration curves, and clinical decision curves were used to evaluate the predictive ability of the model.Multivariate Logistic regression analysis showed that complete envelope, hepatic lopes, tumor number, and alpha-fetoprotein (AFP) were independent risk factors for benefiting from multiple TACE in HCC patients. The area under the curve (AUC) of the model constructed by using independent risk factors in the development and validation sets was 0.843 (95% confidence interval [CI]: 0.784-0.902) and 0.828 (95%CI: 0.739-0.916), respectively. The calibration curves and clinical decision curves showed that the model had good predictive ability.The model established in this study has a good predictive effect on HCC patients who can benefit from multiple TACE.</p>","PeriodicalId":10337,"journal":{"name":"Clinical and Experimental Medicine","volume":"25 1","pages":"1"},"PeriodicalIF":3.2000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531432/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development and validation of a model for predicting who can benefit from multiple TACE in HCC patients.\",\"authors\":\"Huizhi Zhang, Xingxing Wang, Hongxiang Wang, Junchi Li, Kai Lei, Run Hu, Zuojin Liu\",\"doi\":\"10.1007/s10238-024-01516-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study was to develop and validate a model for predicting who can benefit from multiple transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma (HCC) patients.228 and 98 patients were included in the development and validation sets, respectively. The primary clinical endpoint was benefiting from consecutive multiple TACE treatments. Logistic regression analysis was used to screen the independent risk factors for the clinical endpoint. The independent risk factors were then used to construct the predictive model. The area under receiver operating characteristic (ROC) curves, calibration curves, and clinical decision curves were used to evaluate the predictive ability of the model.Multivariate Logistic regression analysis showed that complete envelope, hepatic lopes, tumor number, and alpha-fetoprotein (AFP) were independent risk factors for benefiting from multiple TACE in HCC patients. The area under the curve (AUC) of the model constructed by using independent risk factors in the development and validation sets was 0.843 (95% confidence interval [CI]: 0.784-0.902) and 0.828 (95%CI: 0.739-0.916), respectively. The calibration curves and clinical decision curves showed that the model had good predictive ability.The model established in this study has a good predictive effect on HCC patients who can benefit from multiple TACE.</p>\",\"PeriodicalId\":10337,\"journal\":{\"name\":\"Clinical and Experimental Medicine\",\"volume\":\"25 1\",\"pages\":\"1\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531432/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Experimental Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10238-024-01516-8\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Experimental Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10238-024-01516-8","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Development and validation of a model for predicting who can benefit from multiple TACE in HCC patients.
This study was to develop and validate a model for predicting who can benefit from multiple transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma (HCC) patients.228 and 98 patients were included in the development and validation sets, respectively. The primary clinical endpoint was benefiting from consecutive multiple TACE treatments. Logistic regression analysis was used to screen the independent risk factors for the clinical endpoint. The independent risk factors were then used to construct the predictive model. The area under receiver operating characteristic (ROC) curves, calibration curves, and clinical decision curves were used to evaluate the predictive ability of the model.Multivariate Logistic regression analysis showed that complete envelope, hepatic lopes, tumor number, and alpha-fetoprotein (AFP) were independent risk factors for benefiting from multiple TACE in HCC patients. The area under the curve (AUC) of the model constructed by using independent risk factors in the development and validation sets was 0.843 (95% confidence interval [CI]: 0.784-0.902) and 0.828 (95%CI: 0.739-0.916), respectively. The calibration curves and clinical decision curves showed that the model had good predictive ability.The model established in this study has a good predictive effect on HCC patients who can benefit from multiple TACE.
期刊介绍:
Clinical and Experimental Medicine (CEM) is a multidisciplinary journal that aims to be a forum of scientific excellence and information exchange in relation to the basic and clinical features of the following fields: hematology, onco-hematology, oncology, virology, immunology, and rheumatology. The journal publishes reviews and editorials, experimental and preclinical studies, translational research, prospectively designed clinical trials, and epidemiological studies. Papers containing new clinical or experimental data that are likely to contribute to changes in clinical practice or the way in which a disease is thought about will be given priority due to their immediate importance. Case reports will be accepted on an exceptional basis only, and their submission is discouraged. The major criteria for publication are clarity, scientific soundness, and advances in knowledge. In compliance with the overwhelmingly prevailing request by the international scientific community, and with respect for eco-compatibility issues, CEM is now published exclusively online.