RESUMO
Background: Our objective was to identify non-malignant factors that contribute to mortality in children, adolescents and young adults, aiming to improve patient follow-up and reduce mortality rates to achieve better survival outcomes. Methods: We analyzed 8,239 acute myeloid leukemia (AML) cases diagnosed between 2000 and 2019 in the USA. Using version 8.4.0.1 of the Surveillance, Epidemiology, and End Results (SEER)*Stat software, we calculated the standardized mortality ratios (SMRs) and 95% confidence intervals (CIs) for each cause of death. Results: Out of the 3,165 deaths observed in the study population, the majority (2,245;70.9%) were attributed to AML itself, followed by non-AML cancers (573; 18.1%) and non-cancerous causes (347; 10.9%). Conclusions: Patients with AML are at a higher risk of developing other types of cancer and granulocyte deficiencies, which increases the risk of death from non-cancerous causes such as infections. Moreover, treatment for AML carries the risk of cardiac problems. AML is commoner in males than females.
RESUMO
Purpose: We aimed to perform a meta-analysis with the intention of evaluating the reliability and test accuracy of the aMAP risk score in the identification of HCC. Methods: A systematic search was performed in PubMed, Scopus, Cochrane, Embase, and Web of Science databases from inception to September 2023, to identify studies measuring the aMAP score in patients for the purpose of predicting the occurrence or recurrence of HCC. The meta-analysis was performed using the meta package in R version 4.1.0. The diagnostic accuracy meta-analysis was conducted using Meta-DiSc software. Results: Thirty-five studies 102,959 participants were included in the review. The aMAP score was significantly higher in the HCC group than in the non-HCC group, with a mean difference of 6.15. When the aMAP score is at 50, the pooled sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI was 0.961 (95% CI 0.936, 0.976), 0.344 (95% CI 0.227, 0.483), 0.114 (95% CI 0.087, 0.15), and 1.464 (95% CI 1.22, 1.756), respectively. At a cutoff value of 60, the pooled sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI was 0.594 (95% CI 0.492, 0.689), 0.816 (95% CI 0.714, 0.888), 0.497 (95% CI 0.418, 0.591), and 3.235 (95% CI 2.284, 4.582), respectively. Conclusion: The aMAP score is a reliable, accurate, and easy-to-use tool for predicting HCC patients of all stages, including early-stage HCC. Therefore, the aMAP score can be a valuable tool for surveillance of HCC patients and can help to improve early detection and reduce mortality.