ArticleBMC cardiovascular disorders2020
Predicting the occurrence of venous thromboembolism: construction and verification of risk warning model.
Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluation of venous thromboembolism risk assessment models for hospital inpatients: the VTEAM evidence synthesis.Health technology assessment (Winchester, England) · 2024Pooled it
- Risk assessment models for venous thromboembolism in hospitalised adult patients: a systematic review.BMJ open · 2021Pooled it
- Analysis of Drug Product Dispensing Error Characteristics, Construction and Evaluation of a Risk Warning Model in Outpatient Pharmacy: A Retrospective Study in China.Risk management and healthcare policy · 2025Article
- A composite risk assessment model for venous thromboembolism.Journal of vascular surgery. Venous and lymphatic disorders · 2025Article
- Establishment and analysis of a prognostic model of pancreatic ductal adenocarcinomas based on nerve-cancer crosstalk-related genes.International journal of clinical and experimental pathology · 2024Article
- Article
- Associations between SARS-CoV-2 infections and thrombotic complications necessitating surgical intervention: A systematic review.World journal of methodology · 2022Article
- A Prediction Model Based on Blood Biomarker for Mortality Risk in Patients with Acute Venous Thromboembolism.Journal of inflammation research · 2022Article
- Identification of the Nerve-Cancer Cross-Talk-Related Prognostic Gene Model in Head and Neck Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundThe onset of venous thromboembolism is insidious and the prognosis is poor. In this study, we aimed to construct a VTE risk warning model and testified its clinical application value.
methodsPreliminary construction of the VTE risk warning model was carried out according to the independent risk warning indicators of VTE screened by Logistic regression analysis. The truncated value of screening VTE was obtained and the model was evaluated. ROC curve analysis was used to compare the test of Caprini risk assessment scale and VTE risk warning model. The cut-off value of the VTE risk warning model was used to evaluate the test effectiveness of the model for VTE patients with validation data set.
resultsThe VTE risk warning model is p = e
conclusionsVTE risk warning model had high accuracy in predicting VTE occurrence in hospitalized patients. Its test performance was better than Caprini risk assessment scale. It also had high test performance in external population.
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Registered trials
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.