ArticleTranslational lung cancer research2021
Derivation and validation of a nomogram model for pulmonary thromboembolism in patients undergoing lung cancer surgery.
Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Risk prediction models for venous thromboembolism in lung cancer patients after surgery: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Postoperative venous thromboembolism risk following lung cancer surgery: a systematic review and meta-analysis.Journal of thrombosis and thrombolysis · 2025Pooled it
- Development and validation of the CHI-CAT score: a novel tool for assessing cancer-associated venous thromboembolism risk in China.BMC cancer · 2025Article
- Developing a risk assessment tool for cancer-related venous thrombosis in China: a modified Delphi-analytic hierarchy process study.BMC cancer · 2024Article
- Management of venous thromboembolism in patients with lung cancer: a state-of-the-art review.BMJ open respiratory research · 2023Review
- Nomogram prediction for the risk of venous thromboembolism in patients with lung cancer.Cancer cell international · 2023Article
- A nomogram model to predict the portal vein thrombosis risk after surgery in patients with pancreatic cancer.Frontiers in surgery · 2023Article
- Nomogram model combined thrombelastography for venous thromboembolism risk in patients undergoing lung cancer surgery.Frontiers in physiology · 2023Article
- Derivation, validation and assessment of a novel nomogram-based risk assessment model for venous thromboembolism in hospitalized patients with lung cancer: A retrospective case control study.Frontiers in oncology · 2022Article
- Dynamic Prediction of Venous Thromboembolism in Gynecological Surgery Using Perioperative Biomarkers and an Extremely Randomized Trees Model: A Retrospective Case-Control Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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14 authors at 8 institutions in 7 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundA specific risk-stratification tool is needed to facilitate safe and cost-effective approaches to the prophylaxis of acute pulmonary thromboembolism (PTE) in lung cancer surgery patients. This study aimed to develop and validate a simple nomogram model for the prediction of PTE after lung cancer surgery using readily obtainable clinical characteristics.
methodsA total of 14,427 consecutive adult patients who underwent lung cancer surgery between January 2015 and July 2018 in our institution were retrospectively reviewed. Included in the cohort were 136 patients who developed PTE and 544 non-PTE patients. The patients were randomly divided into the derivation group (70%, 95 PTE patients and 380 non-PTE patients) and the validation group (30%, 41 PTE patients and 164 non-PTE patients). A nomogram model was developed based on the results of multivariate logistic analysis in the derivation group. The cut-off values were defined using Youden's index. The prognostic accuracy was measured by area under the curve (AUC) values.
resultsIn the derivation group, multivariate logistic analysis was carried out to evaluate the risk score. The risk assessment model contained five variables: age [95% confidence interval (CI): 1.008-1.083, P=0.016], body mass index (95% CI: 1.077-1.319, P=0.001), operation time (95% CI: 1.002-1.014, P=0.008), the serum level of cancer antigen 15-3 (CA15-3) before surgery (95% CI: 1.019-1.111, P=0.005), and the abnormal results of compression venous ultrasonography before surgery (95% CI: 2.819-18.838, P<0.001). All of them were independent risk factors of PTE. To simplify the risk assessment model, a nomogram model was established, which showed a good predictive performance in the derivation group (AUC 0.792, 95% CI: 0.734-0.853) and in the validation group (AUC 0.813, 95% CI: 0.737-0.890).
conclusionsA high-performance nomogram was established on the risk factors for PTE in patients undergoing lung cancer surgery. The nomogram could be used to provide an individual risk assessment and guide prophylaxis decisions for patients. Further external validation of the model is needed in lung cancer surgery patients in other clinical centers.
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