ArticleBMC cancer2023
Establishment and validation of a nomogram based on coagulation parameters to predict the prognosis of pancreatic cancer.
Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 9 citations in OpenAlex.
- Interpretable machine learning prediction of 1-year overall survival in pancreatic cancer patients aged 65 years and older.Translational cancer research · 2026Article
- Construction and validation of a nomogram for overall survival prognosis in patients with advanced (stage III/IV) pancreatic cancer.Scientific reports · 2026Article
- An interpretable machine learning model for predicting survival in pancreatic cancer via SHAP: a multicenter study.Journal of gastroenterology · 2026Article
- Development and internal validation of a nomogram for predicting 30-day mortality in older patients with hemophagocytic lymphohistiocytosis.BMC geriatrics · 2026Article
- The Impact of Coagulation Biomarkers on Survival Outcomes in Adult Glioblastoma.Medicina (Kaunas, Lithuania) · 2025Article
- Hypercoagulation after neoadjuvant immunochemotherapy as a new prognostic indicator in patients with locally advanced gastric cancer undergoing surgery.World journal of gastrointestinal oncology · 2025Article
- Article
- Combined role of thromboelastography and coagulation indicators in predicting thromboembolism risk in cancer patients.Frontiers in medicine · 2025Article
- Association of D-dimer level with thrombotic events, bleeding, and mortality in Japanese patients with solid tumors: a Cancer-VTE Registry subanalysis.International journal of clinical oncology · 2024Article
- Development and Validation of Nomograms to Predict the Overall Survival and Progression-Free Survival in Patients with Advanced Unresectable Intrahepatic Cholangiocarcinoma.Cancer management and research · 2024Article
- Prognostic value of the fibrinogen albumin ratio index (FARI) in nasopharyngeal carcinoma patients undergoing radiotherapy.Scientific reports · 2023Article
- What's New in Emergencies, Trauma, and Shock: Nomograms in Emergency Medicine.Journal of emergencies, trauma, and shockArticle
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundIn recent years, multiple coagulation and fibrinolysis (CF) indexes have been reported to be significantly related to the progression and prognosis of some cancers.
objectiveThe purpose of this study was to comprehensively analyze the value of CF parameters in prognosis prediction of pancreatic cancer (PC).
methodsThe preoperative coagulation related data, clinicopathological information, and survival data of patients with pancreatic tumor were collected retrospectively. Mann Whitney U test, Kaplan-Meier analysis, and Cox proportional hazards regression model were applied to analyze the differences of coagulation indexes between benign and malignant tumors, as well as the roles of these indexes in PC prognosis prediction.
resultsCompared with benign tumors, the preoperative levels of some traditional coagulation and fibrinolysis (TCF) indexes (such as TT, Fibrinogen, APTT, and D-dimer) were abnormally increased or decreased in patients with pancreatic cancer, as well as Thromboelastography (TEG) parameters (such as R, K, α Angle, MA, and CI). Kaplan Meier survival analysis based on resectable PC patients showed that the overall survival (OS) of patients with elevated α angle, MA, CI, PT, D-dimer, or decreased PDW was markedly shorter than other patients; moreover, patients with lower CI or PT have longer disease-free survival. Further univariate and multivariate analysis revealed that PT, D-dimer, PDW, vascular invasion (VI), and tumor size (TS) were independent risk factors for poor prognosis of PC. According to the results of modeling group and validation group, the nomogram model based on independent risk factors could effectively predict the postoperative survival of PC patients.
conclusionMany abnormal CF parameters were remarkably correlated with PC prognosis, including α Angle, MA, CI, PT, D-dimer, and PDW. Furthermore, only PT, D-dimer, and PDW were independent prognostic indicators for poor prognosis of PC, and the prognosis prediction model based on these indicators was an effective tool to predict the postoperative survival of PC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.