Key result
The COMPASS-CAT risk assessment model showed moderate discrimination (AUC 0.62) for predicting VTE at 6 months, with VTE rates of 6.31% in high-risk vs 2.27% in low/intermediate-risk groups.
Why the study?
Current VTE risk assessment models show poor predictive value in common cancers, so the authors sought to externally validate the COMPASS-CAT model in outpatient cancer patients.
Does the COMPASS-CAT risk assessment model accurately predict venous thromboembolism in outpatients with solid tumors?
Population
3,814 patients aged ≥18 years with invasive breast, ovarian, lung, or colorectal cancers
Comparison
Low/intermediate-risk vs high-risk groups stratified by the COMPASS-CAT RAM
Design
Retrospective external validation study
Follow-up
6-month follow-up
Authors
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COMPASS-CAT shows moderate VTE discrimination in cancer outpatients; leaves open clinical adoption pending prospective validation.
Observational (n=3,814)
No
Does the COMPASS-CAT risk assessment model accurately predict venous thromboembolism in outpatients with solid tumors?
Absolute Event Rate: 6.31% vs 2.27%
The COMPASS-CAT risk model showed moderate discrimination and poor calibration but good negative predictive value for VTE in cancer outpatients, suggesting further prospective validation is needed.
Spyropoulos et al. (2020) conducted an observational in Invasive breast, ovarian, lung, or colorectal cancer (n=3,814). COMPASS-CAT RAM high-risk stratification vs. Low/intermediate-risk stratification was evaluated on Documented VTE at 6-month follow-up. The COMPASS-CAT risk assessment model showed moderate discrimination (AUC 0.62) for predicting VTE at 6 months, with VTE rates of 6.31% in high-risk vs 2.27% in low/intermediate-risk groups.
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