The University of Cape Town’s paediatric cancer database: Results from the first years (2019–2021)
Title: | The University of Cape Town’s paediatric cancer database: Results from the first years (2019–2021) |
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Authors: | Alan Davidson, Jennifer Moodley, Komala Pillay, Marc Hendricks, Annemie Stewart, Jeannette Parkes |
Source: | South African Journal of Oncology, Vol 6, Iss 0, Pp e1-e9 (2022) |
Publisher Information: | AOSIS, 2022. |
Publication Year: | 2022 |
Collection: | LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
Subject Terms: | paediatric oncology, cancer registry, childhood cancer incidents, childhood cancer outcomes, childhood cancer diagnoses, cohort-specific factor, socio-economic determinants of health, genetic determinants of health, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
More Details: | Background: The paediatric oncology multidisciplinary team at the University of Cape Town (UCT) developed a research-ready data set. Aim: This study aimed to describe the early results detailing the epidemiological profile of childhood cancer patients and evaluated factors associated with presentation and outcome. Setting: The UCT paediatric oncology platform at the Red Cross War Memorial Children’s Hospital (RCWMCH) and Groote Schuur Hospital (GSH). Methods: A REDCap database was developed with a Cancer Association of South Africa (CANSA) grant. A database administrator consented all new patients and recorded demographic and social information. Results: There were 212 children consented from 2019 to 2021: 109 girls and 103 boys. The age range was from 1 day to 15.98 years, with a median of 5.18 years. Only 32 (15%) of these families had medical insurance, 34 (16%) lived in informal housing and 25 (12%) did not have access to piped water. Seventy-four families (35%) reported a relative with cancer, including seven first degree relatives. With a median follow-up of 12.4 months, the estimated 2-year overall survival (OS) and event-free survival (EFS) was 77% and 72%, respectively. Overall survival was significantly different (p = 0.013) by disease group, varying from 100% for Wilms tumour and germ cell tumours to 52% for rhabdomyosarcoma. Most patients with solid tumours (72%) had advanced disease at diagnosis. Outcomes were poorer for children living in informal housing and without piped water. Conclusion: A real-time database can provide a research-ready data set for interrogating cohort-specific factors impacting childhood cancer outcomes. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2518-8704 2523-0646 |
Relation: | https://sajo.org.za/index.php/sajo/article/view/234; https://doaj.org/toc/2518-8704; https://doaj.org/toc/2523-0646 |
DOI: | 10.4102/sajo.v6i0.234 |
Access URL: | https://doaj.org/article/6f7eb615a94d4c5499168b2d14a47999 |
Accession Number: | edsdoj.6f7eb615a94d4c5499168b2d14a47999 |
Database: | Directory of Open Access Journals |
ISSN: | 25188704 25230646 |
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DOI: | 10.4102/sajo.v6i0.234 |
Published in: | South African Journal of Oncology |
Language: | English |