Objective: This systematic review aims to assess the accuracy of the COMPASS-CAT tool in predicting venous thromboembolism (VTE) among cancer patients.
Methods: Relevant studies were searched in PubMed, Web of Science, The Cochrane Library, Embase, CINAHL, OVID, CBM, CNKI, WanFang Data, and VIP database from their inception up to April 19, 2023. The quality of studies was appraised using the diagnostic test accuracy study bias assessment tool (QUADAS-2). Quantitative analysis was performed using Stata MP 17.0.
Results: Thirteen studies involving 8,665 patients were included. Meta-analysis indicated that the COMPASS-CAT score had a pooled sensitivity of 0.76 [95%CI (0.61, 0.86)], specificity of 0.67 [95%CI (0.52, 0.79)], positive likelihood ratio of 2.3 [95%CI (1.7, 3.1)], negative likelihood ratio of 0.36 [95%CI (0.23, 0.54)], diagnostic odds ratio of 6 [95%CI (4, 10)], and an area under the Summary Receiver Operating Characteristic (SROC) curve (AUC) of 0.77 [95%CI (0.74, 0.81)]. Funnel plots indicated no publication bias. Meta-regression and subgroup analysis suggested that country and diagnostic setting might be potential sources of heterogeneity. The sensitivity of the COMPASS-CAT assessment tool in international outpatient settings was 0.94 with an AUC of 0.86, while in domestic inpatient settings, the sensitivity was 0.65 with an AUC of 0.78.
Conclusion: The COMPASS-CAT score had a certain diagnostic value for VTE in cancer patients and can effectively identify patients at risk of VTE. Most studies focus on patients with lung cancer. Future research should investigate more tumor types, and high-quality, large-sample, multi-center prospective studies on larger populations with cancers are warranted.
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http://dx.doi.org/10.1007/s11239-024-03011-z | DOI Listing |
J Thromb Thrombolysis
October 2024
Anesthesia Department, Weifang People's Hospital, 151 Guangwen Street, Kuiwen District, Weifang, Shandong, 261000, China.
Objective: This systematic review aims to assess the accuracy of the COMPASS-CAT tool in predicting venous thromboembolism (VTE) among cancer patients.
Methods: Relevant studies were searched in PubMed, Web of Science, The Cochrane Library, Embase, CINAHL, OVID, CBM, CNKI, WanFang Data, and VIP database from their inception up to April 19, 2023. The quality of studies was appraised using the diagnostic test accuracy study bias assessment tool (QUADAS-2).
Thromb J
December 2021
Department of Pulmonary and Critical Care Medicine, Xinhua Hospital, Shanghai Jiaotong University School of Medicine,Shanghai, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Background: Cancer-associated venous thromboembolism (VTE) is common in patients with primary lung cancer. It has been understudied which authoritative risk assessment score of cancer-associated VTE is optimal for the assessment of VTE development in hospitalized medical patients with lung cancer.
Methods: Patients with lung cancer who had undergone computed tomography pulmonary angiography (CTPA), compression ultrasonography (CUS) of lower and upper extremities, and/or planar ventilation/perfusion (V/Q) scan to confirm the presence or absence of VTE during a medical hospitalization were retrospectively reviewed.
Zhonghua Zhong Liu Za Zhi
April 2020
General Department, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
To verify the risk prediction efficacies of COMPASS-cancer associated thrombosis (COMPASS-CAT) risk assessment model and the new prediction probability model established based on COMPASS-CAT for venous thromboembolism (VTE) in hospitalized patients with non-small cell lung cancer (NSCLC). We retrospectively collected the clinical data of 373 patients with NSCLC admitted to National Clinical Research Center for Cancer/Cancer Hospital from March 2013 to June 2017. All of them were divided into VTE group (63 cases) and non-VTE group (310 cases) according to VTE occurred or not.
View Article and Find Full Text PDFOncologist
July 2020
Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, New York, USA.
Background: Current risk assessment models (RAMs) for prediction of venous thromboembolism (VTE) risk in the outpatient cancer population have shown poor predictive value in many of the most common cancers. The Comparison of Methods for Thromboembolic Risk Assessment with Clinical Perceptions and AwareneSS in Real Life Patients-Cancer Associated Thrombosis (COMPASS-CAT) RAM was derived in this patient population and predicted patients at high risk for VTE even after initiation of chemotherapy. We sought to externally validate this RAM.
View Article and Find Full Text PDFOncologist
November 2018
Cancer Biology and Therapeutics, Centre de Recherche Saint-Antoine, INSERM U938, Institut Universitaire de Cancérologie (IUC), Faculté de Médecine, Sorbonne Université, Paris, France
Background: The aim of this prospective study was to identify the most clinically relevant hypercoagulability biomarkers in lung adenocarcinoma patients for elaboration of an improved risk assessment model (RAM) for venous thromboembolism (VTE).
Subjects, Materials, And Methods: One hundred fifty ambulatory patients with lung adenocarcinoma were prospectively enrolled. Thrombin generation, procoagulant phospholipid-dependent clotting time (Procoag-PPL), tissue factor activity (TFa), factor VIIa (FVIIa), factor V (FV), antithrombin, D-Dimers, P-selectin, and heparanase levels were assessed in platelet-poor plasma at inclusion (baseline) and at the end of the third chemotherapy cycle (third chemotherapy).
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