Cost-Effectiveness Modeling of Prostate-Specific Membrane Antigen Positron Emission Tomography with Piflufolastat F 18 for the Initial Diagnosis of Patients with Prostate Cancer in the United States

Yee, Christopher W.; Harvey, Michael J.; Xin, Yiqiao; Kirson, Noam Y.

doi:10.1007/s40273-023-01322-2

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…Disparities in healthcare infrastructure, resources, and availability of specialized treatment centers can affect leukemia diagnosis, treatment, and management [ 40 , 41 ]. Regions or communities with limited healthcare access may experience higher mortality rates due to delayed diagnosis, inadequate treatment, or limited access to supportive care services [ 42 , 43 ]. Additionally, socioeconomic factors such as income level, education, and health insurance coverage can influence access to care [ 44 ].…”

Section: Discussionmentioning

confidence: 99%

Global incidence and mortality of childhood leukemia and its relationship with the Human Development Index

Mohammadian-Hafshejani,

Farber,

Kheiri

2024

PLoS ONE

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Background Childhood leukemia (CL) is a major global concern, accounting for 33% of all new cancer cases and 31% of all cancer deaths in children aged 0–14 years. Our study aimed to analyze the global incidence and mortality rates of CL in 2020 and its relationship with the Human Development Index (HDI). Material and methods In this ecologic study, we analyzed the 2020 cancer incidence and mortality data for children aged 0–14 years from the GLOBOCAN Project. We calculated the Age-Standardized Incidence Rate (ASIR) and Age-Standardized Mortality Rate (ASMR) of CL per 100,000 individuals. Pearson’s correlation coefficient was used to examine the association between childhood leukemia ASIR, ASMR, and the HDI, with a statistical significance threshold of P<0.05. Results In 2020, there were a total of 67,008 new cases of CL worldwide, with males accounting for 57.85%. The global ASIR for CL was 3.4 per 100,000 (3.9 in males, 3 in females). Additionally, there were 25,080 CL-related deaths, with males comprising 58.86%. The overall ASMR for CL was 1.3 (1.4 in males, 1.1 in females). We found a significant positive correlation (r = 0.405, P≤0.001) between the global ASIR and ASMR for CL. There was a strong positive correlation (r = 0.770, P = 0.001) between the HDI and childhood leukemia ASIR, but no significant association (r = 0.077, P = 0.337) was observed with ASMR. Conclusion Our study reveals that CL remains a significant health burden worldwide. We identified a positive correlation between the ASIR of CL and the HDI, indicating a potential role of socioeconomic factors in CL incidence.

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Section: Discussionmentioning

confidence: 99%

Global incidence and mortality of childhood leukemia and its relationship with the Human Development Index

Mohammadian-Hafshejani,

Farber,

Kheiri

2024

PLoS ONE

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Markov models for clinical decision‐making in radiation oncology: A systematic review

McCullum,

Karagoz,

Dede

et al. 2024

J Med Imag Rad Onc

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The intrinsic stochasticity of patients' response to treatment is a major consideration for clinical decision‐making in radiation therapy. Markov models are powerful tools to capture this stochasticity and render effective treatment decisions. This paper provides an overview of the Markov models for clinical decision analysis in radiation oncology. A comprehensive literature search was conducted within MEDLINE using PubMed, following the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines. Only studies published from 2000 to 2023 were considered. Selected publications were summarized in two categories: (i) studies that compare two (or more) fixed treatment policies using Monte Carlo simulation and (ii) studies that seek an optimal treatment policy through Markov Decision Processes (MDPs). Relevant to the scope of this study, 61 publications were selected for detailed review. The majority of these publications (n = 56) focused on comparative analysis of two or more fixed treatment policies using Monte Carlo simulation. Classifications based on cancer site, utility measures and the type of sensitivity analysis are presented. Five publications considered MDPs with the aim of computing an optimal treatment policy; a detailed statement of the analysis and results is provided for each work. As an extension of Markov model‐based simulation analysis, MDP offers a flexible framework to identify an optimal treatment policy among a possibly large set of treatment policies. However, the applications of MDPs to oncological decision‐making have been understudied, and the full capacity of this framework to render complex optimal treatment decisions warrants further consideration.

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Cost-Effectiveness Modeling of Prostate-Specific Membrane Antigen Positron Emission Tomography with Piflufolastat F 18 for the Initial Diagnosis of Patients with Prostate Cancer in the United States

Cited by 2 publications

References 43 publications

Global incidence and mortality of childhood leukemia and its relationship with the Human Development Index

Global incidence and mortality of childhood leukemia and its relationship with the Human Development Index

Markov models for clinical decision‐making in radiation oncology: A systematic review

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