Venous thromboembolism risk assessment scale for prediction of venous thromboembolism in inpatients with cancer: A meta-analysis

被引:1
作者
Ma, Se-Ge [1 ]
Yang, Yi [2 ]
Huang, Yan [2 ]
机构
[1] First Peoples Hosp Liangshan Yi Autonomous Prefect, Xichang 615000, Sichuan, Peoples R China
[2] Sichuan Univ, West China Univ Hosp 2, Dept Nursing, Key Lab Birth Defects & Related Dis Women & Childr, Chengdu 610041, Sichuan, Peoples R China
关键词
Caprini VTE risk assessment scale; VTE; Prediction; Meta-analysis; SYSTEMATIC REVIEWS; ASSESSMENT MODEL; DIAGNOSTIC-TEST; THROMBOSIS; GUIDE; COMPLICATIONS; PROPHYLAXIS; VALIDATION; PREVENTION; SURGERY;
D O I
10.1016/j.thromres.2024.109058
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims: This meta-analysis was conducted to evaluate the validity of the Caprini venous thromboembolism (VTE) risk assessment scale in predicting the risk of VTE in inpatients with cancer. Methods: Studies relating to the Caprini VTE risk assessment scale were systematically retrieved from the MEDLINE, EMBASE, Web of Science, Cochrane Library, BIOSIS Previews, EBSCOhost, and China National Knowledge Infrastructure (CNKI) databases up to May 1, 2022. Two reviewers independently conducted data extraction and quality evaluation. MetaDisc 1.4 and Stata 15.0 software were used for data analysis. Results: We included 10 studies with 23,644 subjects in our analyses. The results showed that the pooled sensitivity (SEN) and specificity (SPE) were 0.59 (95 % CI: 0.55 to 0.63) and 0.57 (95 % CI:0.57 to 0.58), respectively; the pooled diagnostic odds ratio (DOR) was 6.05 (95 % CI: 2.70 to 13.58); and the area under the curve (AUC) of the summary receiver operating characteristic (SROC) curve was 0.76. Subgroup analysis was performed according to ethnicity (Chinese or non-Chinese), study design (prospective/retrospective), Caprini RAM version (2005/2009), and cut-off (<= 7 or > 7). Conclusion: The Caprini VTE risk assessment scale has a moderate ability to predict VTE in surgical inpatients with cancer, as well as in Western populations; Caprini 2009 has a stronger predictive ability than 2005, and its predictive power is better if the cut-off value is >7. Future studies in clinical practice and specific specialties are needed to explore the optimal cut-off value of different cancers. This will improve our accuracy in understanding the risk of VTE in inpatients and help promote timely and targeted prevention. In turn, this will reduce the incidence of VTE and improve the quality of life of inpatients with cancer.
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页数:9
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