Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer
Abstract Objective Postoperative venous thromboembolism (VTE) is a potentially life-threatening complication. This study aimed to develop a predictive model to identify independent risk factors and estimate the likelihood of VTE in patients undergoing surgery for cervical cancer. Methods We conducte...
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BMC
2024-12-01
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| Series: | World Journal of Surgical Oncology |
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| Online Access: | https://doi.org/10.1186/s12957-024-03649-2 |
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| author | Yue Chen Xiaosheng Li Li Yuan Yuliang Yuan Qianjie Xu Zuhai Hu Wei Zhang Haike Lei |
| author_facet | Yue Chen Xiaosheng Li Li Yuan Yuliang Yuan Qianjie Xu Zuhai Hu Wei Zhang Haike Lei |
| author_sort | Yue Chen |
| collection | DOAJ |
| description | Abstract Objective Postoperative venous thromboembolism (VTE) is a potentially life-threatening complication. This study aimed to develop a predictive model to identify independent risk factors and estimate the likelihood of VTE in patients undergoing surgery for cervical cancer. Methods We conducted a retrospective cohort study involving 1,174 patients who underwent surgery for cervical carcinoma between 2019 and 2022. The cohort was randomly divided into training and validation sets at 7:3. Univariate and multivariate logistic regression analyses were used to determine the independent factors associated with VTE. The results of the multivariate logistic regression were used to construct a nomogram. The nomogram's performance was assessed via the concordance index (C-index) and calibration curve. Additionally, its clinical utility was assessed through decision curve analysis (DCA). Results The predictive nomogram model included factors such as age, pathology type, FIGO stage, history of chemotherapy, the neutrophil–lymphocyte ratio (NLR), fibrinogen degradation products (FDP), and D-dimer levels. The model demonstrated robust discriminative power, achieving a C-index of 0.854 (95% CI: 0.799–0.909) in the training cohort and 0.757 (95% CI: 0.657–0.857) in the validation cohort. Furthermore, the nomogram showed excellent calibration and clinical utility, as evidenced by the calibration curve and decision curve analysis (DCA) results. Conclusions We developed a high-performance nomogram that accurately predicts the risk of VTE in cervical cancer patients undergoing surgery, providing valuable guidance for thromboprophylaxis decision-making. |
| format | Article |
| id | doaj-art-2d3644612e7c47699941262cd8e1a0cc |
| institution | Kabale University |
| issn | 1477-7819 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | World Journal of Surgical Oncology |
| spelling | doaj-art-2d3644612e7c47699941262cd8e1a0cc2025-01-05T12:32:11ZengBMCWorld Journal of Surgical Oncology1477-78192024-12-0122111010.1186/s12957-024-03649-2Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancerYue Chen0Xiaosheng Li1Li Yuan2Yuliang Yuan3Qianjie Xu4Zuhai Hu5Wei Zhang6Haike Lei7Chongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer HospitalChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer HospitalChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer HospitalChongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer HospitalChongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer HospitalDepartment of Health Statistics, School of Public Health, Chongqing Medical UniversityChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer HospitalChongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer HospitalAbstract Objective Postoperative venous thromboembolism (VTE) is a potentially life-threatening complication. This study aimed to develop a predictive model to identify independent risk factors and estimate the likelihood of VTE in patients undergoing surgery for cervical cancer. Methods We conducted a retrospective cohort study involving 1,174 patients who underwent surgery for cervical carcinoma between 2019 and 2022. The cohort was randomly divided into training and validation sets at 7:3. Univariate and multivariate logistic regression analyses were used to determine the independent factors associated with VTE. The results of the multivariate logistic regression were used to construct a nomogram. The nomogram's performance was assessed via the concordance index (C-index) and calibration curve. Additionally, its clinical utility was assessed through decision curve analysis (DCA). Results The predictive nomogram model included factors such as age, pathology type, FIGO stage, history of chemotherapy, the neutrophil–lymphocyte ratio (NLR), fibrinogen degradation products (FDP), and D-dimer levels. The model demonstrated robust discriminative power, achieving a C-index of 0.854 (95% CI: 0.799–0.909) in the training cohort and 0.757 (95% CI: 0.657–0.857) in the validation cohort. Furthermore, the nomogram showed excellent calibration and clinical utility, as evidenced by the calibration curve and decision curve analysis (DCA) results. Conclusions We developed a high-performance nomogram that accurately predicts the risk of VTE in cervical cancer patients undergoing surgery, providing valuable guidance for thromboprophylaxis decision-making.https://doi.org/10.1186/s12957-024-03649-2Cervical carcinomaVTENomogramPredictive model |
| spellingShingle | Yue Chen Xiaosheng Li Li Yuan Yuliang Yuan Qianjie Xu Zuhai Hu Wei Zhang Haike Lei Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer World Journal of Surgical Oncology Cervical carcinoma VTE Nomogram Predictive model |
| title | Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer |
| title_full | Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer |
| title_fullStr | Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer |
| title_full_unstemmed | Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer |
| title_short | Development and validation of a nomogram for predicting venous thromboembolism risk in post-surgery patients with cervical cancer |
| title_sort | development and validation of a nomogram for predicting venous thromboembolism risk in post surgery patients with cervical cancer |
| topic | Cervical carcinoma VTE Nomogram Predictive model |
| url | https://doi.org/10.1186/s12957-024-03649-2 |
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