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Ewing sarcoma outcomes in a country with limited resources: Egypt as an example.

ABSTRACT: As the scarcity of published research that comprehensively and meticulously analyzed the patient, disease, and treatment factors of prognostic significance in Ewing sarcoma (EWS) in Egypt; This study aimed at assessing survival outcomes of EWS in Upper Egypt, delineating factors of prognostic significance in comparison to other leading oncology centers in Egypt and internationally. By retrospectively reviewing medical records of 85 patients with a verified diagnosis of EWS in the period from 2001 to 2015 at Pediatric and Medical Oncology Departments at South Egypt Cancer Institute; We gathered data relevant to the patient, disease, and treatment variables of the study. Survival was estimated using the Kaplan Meier method and differences between various groups were determined by log rank test. Univariable and multivariable analyses were performed using Cox regression. With a median follow-up period of 62.7 months (95% CI 52.2-73.2, SE=5.4) for the study patients, the estimates of event-free survival (EFS) and overall survival (OS) at 3 and 5 years were 42.1% and 50.6%, and 40.8% and 48.5%, respectively. Metastatic disease at initial presentation (HR=8.91, 95% CI, 4.00-19.9; P<0.0001) stood as the most powerful predictor of OS in the multivariable analysis, followed by surgery used as a local modality (HR=0.16, 95% CI, 0.06-0.44; P=0.0004). Response to neoadjuvant chemotherapy (HR=2.61, 95% CI, 1.11-6.13; P=0.028), primary tumor size (HR=2.49, 95% CI, 1.03-6.03; P=0.044) were also shown to be significantly associated with OS. Radiotherapy as a local modality, whose effect, apparently shown to increase the hazard of events occurrence in the univariable analysis, an effect that was reversed to reveal EFS advantage (HR=0.41, 95% CI, 0.18-0.95; P=0.036) after control of other variables. With 5-year OS of 48.5%, our survival results were comparable to those previously published from Egypt; however, differences still exist between centers due to varied representative study samples. However, outcomes in Egypt in general are still inferior to internationally published studies.

SUBMITTER: Morsy AM

PROVIDER: S-EPMC8263650 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundIncreasing evidence supporting the value of screening women for cervical cancer once in their lifetime, coupled with mounting interest in scaling up successful screening demonstration projects, present challenges to public health decision makers seeking to take full advantage of the single-visit opportunity to provide additional services. We present an analytic framework for packaging multiple interventions during a single point of contact, explicitly taking into account a budget and scarce human resources, constraints acknowledged as significant obstacles for provision of health services in poor countries.Methods and findingsWe developed a binary integer programming (IP) model capable of identifying an optimal package of health services to be provided during a single visit for a particular target population. Inputs to the IP model are derived using state-transition models, which compute lifetime costs and health benefits associated with each intervention. In a simplified example of a single lifetime cervical cancer screening visit, we identified packages of interventions among six diseases that maximized disability-adjusted life years (DALYs) averted subject to budget and human resource constraints in four resource-poor regions. Data were obtained from regional reports and surveys from the World Health Organization, international databases, the published literature, and expert opinion. With only a budget constraint, interventions for depression and iron deficiency anemia were packaged with cervical cancer screening, while the more costly breast cancer and cardiovascular disease interventions were not. Including personnel constraints resulted in shifting of interventions included in the package, not only across diseases but also between low- and high-intensity intervention options within diseases.ConclusionsThe results of our example suggest several key themes: Packaging other interventions during a one-time visit has the potential to increase health gains; the shortage of personnel represents a real-world constraint that can impact the optimal package of services; and the shortage of different types of personnel may influence the contents of the package of services. Our methods provide a general framework to enhance a decision maker's ability to simultaneously consider costs, benefits, and important nonmonetary constraints. We encourage analysts working on real-world problems to shift from considering costs and benefits of interventions for a single disease to exploring what synergies might be achievable by thinking across disease burdens.

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Ewing sarcoma outcomes in a country with limited resources: Egypt as an example.

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