Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant study
Objective: To develop and validate nomograms for predicting the OS and CSS of patients with Solitary Hepatocellular Carcinoma (HCC). Methods: Using the TRIPOD guidelines, this study identified 5206 patients in the Surveillance, Epidemiology, and End Results (SEER) 17 registry database. All patients...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024049089 |
| _version_ | 1797226642464047104 |
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| author | Chuanhong Li Yong Deng Rui Liao Leida Zhang Yongpeng Gu |
| author_facet | Chuanhong Li Yong Deng Rui Liao Leida Zhang Yongpeng Gu |
| author_sort | Chuanhong Li |
| collection | DOAJ |
| description | Objective: To develop and validate nomograms for predicting the OS and CSS of patients with Solitary Hepatocellular Carcinoma (HCC). Methods: Using the TRIPOD guidelines, this study identified 5206 patients in the Surveillance, Epidemiology, and End Results (SEER) 17 registry database. All patients were randomly divided in a ratio of 7:3 into a training cohort (n = 3646) and a validation cohort (n = 1560), and the Chinese independent cohort (n = 307) constituted the external validation group. The prognosis-related risk factors were selected using univariate Cox regression analysis, and the independent prognostic factors of OS and CSS were identified using the Lasso-Cox regression model. The nomograms for predicting the OS and CSS of the patients were constructed based on the identified prognostic factors. Their prediction ability was evaluated using the concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve in both the training and validation cohorts. Results: We identified factors that predict OS and CSS and constructed two nomograms based on the data. The ROC analysis, C-index analysis, and calibration analysis indicated that the two nomograms performed well over the 1, 3, and 5-year OS and CSS periods in both the training and validation cohorts. Additionally, these results were confirmed in the external validation group. Decision curve analysis (DCA) demonstrated that the two nomograms were clinically valuable and superior to the TNM stage system. Conclusion: We established and validated nomograms to predict 1,3, and 5-year OS and CSS in solitary HCC patients, and our results may also be helpful for clinical decision-making. |
| first_indexed | 2024-04-24T14:28:09Z |
| format | Article |
| id | doaj.art-a442d223eeac47c9bad912a6eae4d48f |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T14:28:09Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-a442d223eeac47c9bad912a6eae4d48f2024-04-03T04:27:05ZengElsevierHeliyon2405-84402024-04-01107e28877Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant studyChuanhong Li0Yong Deng1Rui Liao2Leida Zhang3Yongpeng Gu4Department of Hepatobiliary Surgery, Southwest Hospital, Army Medical University, 400038, Chongqing, ChinaDepartment of Hepatobiliary Surgery, Southwest Hospital, Army Medical University, 400038, Chongqing, ChinaDepartment of Hepatobiliary Surgery, Southwest Hospital, Army Medical University, 400038, Chongqing, ChinaCorresponding author.; Department of Hepatobiliary Surgery, Southwest Hospital, Army Medical University, 400038, Chongqing, ChinaDepartment of Hepatobiliary Surgery, Southwest Hospital, Army Medical University, 400038, Chongqing, ChinaObjective: To develop and validate nomograms for predicting the OS and CSS of patients with Solitary Hepatocellular Carcinoma (HCC). Methods: Using the TRIPOD guidelines, this study identified 5206 patients in the Surveillance, Epidemiology, and End Results (SEER) 17 registry database. All patients were randomly divided in a ratio of 7:3 into a training cohort (n = 3646) and a validation cohort (n = 1560), and the Chinese independent cohort (n = 307) constituted the external validation group. The prognosis-related risk factors were selected using univariate Cox regression analysis, and the independent prognostic factors of OS and CSS were identified using the Lasso-Cox regression model. The nomograms for predicting the OS and CSS of the patients were constructed based on the identified prognostic factors. Their prediction ability was evaluated using the concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve in both the training and validation cohorts. Results: We identified factors that predict OS and CSS and constructed two nomograms based on the data. The ROC analysis, C-index analysis, and calibration analysis indicated that the two nomograms performed well over the 1, 3, and 5-year OS and CSS periods in both the training and validation cohorts. Additionally, these results were confirmed in the external validation group. Decision curve analysis (DCA) demonstrated that the two nomograms were clinically valuable and superior to the TNM stage system. Conclusion: We established and validated nomograms to predict 1,3, and 5-year OS and CSS in solitary HCC patients, and our results may also be helpful for clinical decision-making.http://www.sciencedirect.com/science/article/pii/S2405844024049089Solitary hepatocellular carcinomaPrognosisNomogramsOverall survivalCancer-specific survival |
| spellingShingle | Chuanhong Li Yong Deng Rui Liao Leida Zhang Yongpeng Gu Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant study Heliyon Solitary hepatocellular carcinoma Prognosis Nomograms Overall survival Cancer-specific survival |
| title | Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant study |
| title_full | Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant study |
| title_fullStr | Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant study |
| title_full_unstemmed | Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant study |
| title_short | Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant study |
| title_sort | development and validation of nomograms for predicting prognosis in patients with solitary hcc a tripod compliant study |
| topic | Solitary hepatocellular carcinoma Prognosis Nomograms Overall survival Cancer-specific survival |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024049089 |
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