5 research outputs found

    Fertility preservation service for children and young adults at high risk of infertility; the hub and spoke model

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    Purpose: To evaluate the evolution of fertility preservation surgery in children and young adults at high risk of infertility from a single centre to a networked ‘Hub and Spoke’ service. Methods: A case note review of patients referred for ovarian or testicular cryopreservation between Jan 2013 and Dec 2023. Demographic data, procurement numbers, and site of procurement were collected. Specialist feedback was obtained to identify the challenges faced. Results: Over time, the number of referrals increased from 4 to 349 patients per year with the number of Spoke centres rising to 36 ovarian and 16 testicular. In 2013–2014; 100% of procurement was ovarian as compared to 2023; 51% ovarian, 49% testicular. Of the 395 referrals in 2021, 81% (n = 319) went on to have procurement and storage of tissue. Between 2013 and 2016, 96% of cases were performed at the Hub. In 2023, 53/349 (15%) cases were performed at the Hub with the remaining 296 (85%) procured at Spoke sites. Surgical issues such as access to theatre, variation and availability of surgical equipment, thermal injury to ovarian tissue and variation in the size of the testicular specimen were identified. Conclusion: The Hub and Spoke model successfully delivers treatment to patients close to home as safely possible within their local treatment centre

    Impact of the COVID-19 pandemic on patients with paediatric cancer in low-income, middle-income and high-income countries: a multicentre, international, observational cohort study

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    OBJECTIVES: Paediatric cancer is a leading cause of death for children. Children in low-income and middle-income countries (LMICs) were four times more likely to die than children in high-income countries (HICs). This study aimed to test the hypothesis that the COVID-19 pandemic had affected the delivery of healthcare services worldwide, and exacerbated the disparity in paediatric cancer outcomes between LMICs and HICs. DESIGN: A multicentre, international, collaborative cohort study. SETTING: 91 hospitals and cancer centres in 39 countries providing cancer treatment to paediatric patients between March and December 2020. PARTICIPANTS: Patients were included if they were under the age of 18 years, and newly diagnosed with or undergoing active cancer treatment for Acute lymphoblastic leukaemia, non-Hodgkin's lymphoma, Hodgkin lymphoma, Wilms' tumour, sarcoma, retinoblastoma, gliomas, medulloblastomas or neuroblastomas, in keeping with the WHO Global Initiative for Childhood Cancer. MAIN OUTCOME MEASURE: All-cause mortality at 30 days and 90 days. RESULTS: 1660 patients were recruited. 219 children had changes to their treatment due to the pandemic. Patients in LMICs were primarily affected (n=182/219, 83.1%). Relative to patients with paediatric cancer in HICs, patients with paediatric cancer in LMICs had 12.1 (95% CI 2.93 to 50.3) and 7.9 (95% CI 3.2 to 19.7) times the odds of death at 30 days and 90 days, respectively, after presentation during the COVID-19 pandemic (p<0.001). After adjusting for confounders, patients with paediatric cancer in LMICs had 15.6 (95% CI 3.7 to 65.8) times the odds of death at 30 days (p<0.001). CONCLUSIONS: The COVID-19 pandemic has affected paediatric oncology service provision. It has disproportionately affected patients in LMICs, highlighting and compounding existing disparities in healthcare systems globally that need addressing urgently. However, many patients with paediatric cancer continued to receive their normal standard of care. This speaks to the adaptability and resilience of healthcare systems and healthcare workers globally

    Twelve-month observational study of children with cancer in 41 countries during the COVID-19 pandemic

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    Childhood cancer is a leading cause of death. It is unclear whether the COVID-19 pandemic has impacted childhood cancer mortality. In this study, we aimed to establish all-cause mortality rates for childhood cancers during the COVID-19 pandemic and determine the factors associated with mortality
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