ArticleTechnology in cancer research & treatment
Application of Thromboelastography to Predict Lung Cancer Stage.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 22 citations in OpenAlex.
- Biochemical and haemostatic variables associated with metastasis in dogs with carcinoma or sarcoma.The Journal of small animal practice · 2026Article
- Combined assessment of Caprini score, D-dimer, and thromboelastography for predicting deep venous thrombosis in lung cancer patients.American journal of cancer research · 2025Article
- Prediction model of gastrointestinal tumor malignancy based on coagulation indicators such as TEG and neural networks.Frontiers in immunology · 2025Article
- Preoperative thromboelastography parameters in predicting the tumour stage of oral squamous cell carcinoma.BMC cancer · 2024Article
- Thromboelastography (TEG) parameters as potential predictors of malignancy and tumor progression in colorectal cancer.World journal of surgical oncology · 2023Article
- Coagulation parameters for the differential diagnosis of pancreatic cancer in the early stage: a retrospective study.European journal of medical research · 2023Article
- Establishment and validation of a nomogram based on coagulation parameters to predict the prognosis of pancreatic cancer.BMC cancer · 2023Article
- Novel risk prediction models for deep vein thrombosis after thoracotomy and thoracoscopic lung cancer resections, involving coagulation and immune function.Open life sciences · 2023Article
- Risk Factors and Impact on Outcomes of Lung Cancer Patients Concurrent with Deep Vein Thrombosis.Cancer control : journal of the Moffitt Cancer CenterArticle
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveLung cancer is often associated with hypercoagulability. Thromboelastography provides integrated information on clot formation in whole blood. This study explored the possible relationship between thromboelastography and lung cancer.
methodsLung cancer was staged according to the Tumor, Node, and Metastasis (TNM) classification system. Thromboelastography parameters in different stages of disease were compared. The value of thromboelastography for stage prediction was determined by area under the receiver operating characteristic curve analysis.
resultsA total of 182 patients diagnosed with lung cancer were included. Thromboelastography parameters, including kinetics time, α-angle, and maximum amplitude, differed significantly between patients with metastatic and limited lung cancers (
conclusionThis study identified the diagnostic value of thromboelastography parameters for determining tumor stage in patients with lung cancer. Thromboelastography can be used as an independent predictive parameter for lung cancer severity.
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