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• W2786625676 abstract "Purpose Most patients with cancer are not screened for hepatitis B virus (HBV) infection before undergoing anticancer therapy, and optimal screening strategies are unknown. We sought to develop selective HBV screening strategies for patients who require systemic anticancer therapy. Methods This prospective cohort study included adults age ≥ 18 years with solid or hematologic malignancies who received systemic anticancer therapy at a comprehensive cancer center during 2013 and 2014. Patients underwent hepatitis B surface antigen, hepatitis B core antibody, and hepatitis B surface antibody testing, and completed a 19-question modified Centers for Disease Control and Prevention (CDC) HBV survey. Multivariable models that predict chronic or past HBV infection were developed and validated using bootstrapping. Results A total of 2,124 patients (mean age, 58 ± 13 years) completed the risk survey and HBV testing. Of these, 54% were women; 77% were non-Hispanic white, 11% Hispanic, 8% black, and 4% Asian; and 20% had a hematologic malignancy and 80% a solid tumor. Almost 12% were born outside the United States. The prevalence was 0.3% for chronic HBV infection and 6% for past HBV infection. Significant predictors of positive hepatitis B surface antigen or hepatitis B core antibody tests were as follows: men who had sex with men, black or Asian race, birthplace outside the United States, parent’s birthplace outside the United States, household exposure to HBV, age ≥ 50 years, and history of injection drug use. The area under the receiver operating characteristic curve of the model on the basis of these seven predictors was 0.79 (95% CI, 0.73 to 0.82). The modified CDC survey and brief tools with fewer than seven questions yielded similar false-negative rates (0% and 0% to 0.7%, respectively). Conclusion An internally validated risk tool performed as well as the modified CDC survey; however, more than 90% of patients who completed the tool would still require HBV testing. Universal HBV testing is more efficient than risk-based screening." @default.
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• W2786625676 date "2018-04-01" @default.
• W2786625676 modified "2023-10-18" @default.
• W2786625676 title "Models to Predict Hepatitis B Virus Infection Among Patients With Cancer Undergoing Systemic Anticancer Therapy: A Prospective Cohort Study" @default.
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• W2786625676 doi "https://doi.org/10.1200/jco.2017.75.6387" @default.
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