Predictive model for CRT risk in cancer patients with central venous access devices: a systematic review and meta-analysis
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View abstract on PubMed
Summary
This summary is machine-generated.Cancer patients with central venous access devices (CVADs) face a high risk of catheter-related thrombosis (CRT). This review evaluated existing risk prediction models for CVAD CRT, finding most have moderate-to-good performance despite high bias risk.
Area Of Science
- Oncology
- Hematology
- Medical Informatics
Background
- Central venous access device (CVAD) use is common in cancer patients.
- Catheter-related thrombosis (CRT) is a significant complication with high incidence in this population.
- Early detection and risk assessment are crucial for effective thromboprophylaxis.
Purpose Of The Study
- To systematically review and evaluate risk prediction models for CVAD-related thrombosis in cancer patients.
- To assess the performance and identify key predictors within these models.
Main Methods
- Comprehensive literature search across multiple databases (PubMed, Embase, Web of Science, etc.) up to May 2024.
- Independent screening, data extraction, and quality assessment using the Predictive Model Risk of Bias Assessment Tool (PROBAST).
- Meta-analysis of Area Under the Curve (AUC) values for model validation.
Main Results
- Nineteen papers identified 29 predictive models; reported AUC values ranged from 0.470 to 1.000.
- Common predictors include D-dimer levels, BMI, and diabetes.
- Combined AUC for six validated models was 0.81, indicating good discrimination, though all studies had a high risk of bias.
Conclusions
- Available CRT prediction models demonstrate moderate-to-good predictive performance.
- Significant risk of bias was noted across all included studies, primarily due to reporting limitations.
- Future research requires methodologically rigorous, multi-center validation and potential development of new models.
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