Abstract: Objective: To systematically evaluate Venous Thromboembolism (VTE) recurrence prediction models and provide reference for the development of related prediction models and clinical practice. Methods: We comprehensively searched Chinese and English databases for studies related to VTE recurrence risk prediction models from inception of databases to April 1, 2023. Studies were independently screened, relevant data were extracted by 2 researchers and the quality of the included studies was evaluated using PROBAST. Results: A total of 9 articles were select, including 10 VTE recurrence risk prediction models. Among them, nine are the development of models, one is update of model. Meta-analysis results showed that men [OR=1.88, 95%CI (1.66, 2.13), Z=9.84, P<0.001], elevated D-dimer [OR=2.13, 95%CI (1.51, 3.00), Z=4.30, P<0.001], proximal deep vein embolism [OR=1.64, 95%CI (1.35, 2.00), Z=4.87, P<0.001] and pulmonary embolism [OR=2.69, 95%CI (1.98, 3.65), Z=6.36, P<0.001] were high risk factors for recurrence of VTE. Conclusion: The prediction model for VTE recurrence still needs to be developed, and in the future, a prediction model with low risk of bias and high applicability should be selected or developed according to the actual clinical situation, and its prediction effect should be monitored. Meanwhile, medical staff should pay attention to those patients who are male, have elevated D-dimer, proximal deep vein embolism, and pulmonary embolism, and take reasonable preventive measures for them to prevent recurrence of VTE.

Key words: Venous Thromboembolism; recurrence; predictive modelling; systematic review; nursing care