Objective To systematically review venous thromboembolism (VTE) risk assessment tools. Methods The Embase, PubMed, CNKI, CBM, WanFang Data, VIP databases and 22 relevant institutions and associations were searched to identify all VTE assessment tools from inception to December 31, 2022. Two researchers independently screened the literature, extracted data, and cross-checked the data. A qualitative analysis was used to describe the country's essential characteristics, publishing organization, year, applicable disease type, applicable population, tool formation method, etc. Key elements and techniques were compared in terms of evaluation dimension, methods, and procedures to form the tool, risk stratification ability, and whether to verify. Results A total of 42 VTE risk assessment tools were included, of which 16 were in the United States, and only 4 were in China. They were released between 1996 and 2021, and the applicable disease types and populations differ. Nineteen tools were constructed based on case-control or retrospective cohort studies, 16 were conducted using prospective cohort studies, and 5 were based on cross-sectional and RCT studies; Additionally, 20 tools were built based on logistic regression models; The evaluation dimensions of each tool differed, and the most common frequency of occurrences were VTE history, age, BMI value, and confirmed tumor, accounting for 64.29%, 54.76%, 54.76%, and 47.62%, respectively. Thirty-three tools were stratified for risk, and 30 tools were presented in the form of risk scores; Some tools lacked clinical validation data, and only 12 tools were analyzed for specificity, sensitivity, NPV, PPV, and AUC. Conclusion The evaluation dimensions and evidence sources of existing VTE risk assessment tools are not completely consistent, the implementation methods and results presentation forms of the tools are not completely the same, and the scope of application is different; Some tool construction methods and processes are not clear enough, and there is a lack of validation research on external validity, which has certain limitations in promoting clinical practice in China.
Cerebral hemorrhage is a common clinical critical disease, and venous thromboembolism is one of its common complications. How to diagnose and treat venous thromboembolism early is still the main problem in the management of patients with cerebral hemorrhage. This article reviews the concept, pathogenesis, risk factors, evaluation tools, prevention and treatment of venous thromboembolism in patients with cerebral hemorrhage. Suggestions are put forward on the development of evaluation tools and improvement of prevention and treatment, in order to provide reference for clinical management and related research of patients with cerebral hemorrhage complicated with venous thromboembolism.
Accurately assessing the risk of bias is a critical challenge in network meta-analysis (NMA). By integrating direct and indirect evidence, NMA enables the comparison of multiple interventions, but its outcomes are often influenced by bias risks, particularly the propagation of bias within complex evidence networks. This paper systematically reviews commonly used bias risk assessment tools in NMA, highlighting their applications, limitations, and challenges across interventional trials, observational studies, diagnostic tests, and animal experiments. Addressing the issues of tool misapplication, mixed usage, and the lack of comprehensive tools for overall bias assessment in NMA, we propose strategies such as simplifying tool operation, enhancing usability, and standardizing evaluation processes. Furthermore, advancements in artificial intelligence (AI) and large language models (LLMs) offer promising opportunities to streamline bias risk assessments and reduce human interference. The development of specialized tools and the integration of intelligent technologies will enhance the rigor and reliability of NMA studies, providing robust evidence to support medical research and clinical decision-making.
