Literature DB >> 31924557

Childhood cancer: Estimating regional and global incidence.

W T Johnston1, Friederike Erdmann2, Robert Newton3, Eva Steliarova-Foucher4, Joachim Schüz5, Eve Roman6.   

Abstract

BACKGROUND: Most of the world's population is not covered by cancer surveillance systems or vital registration, and worldwide/UN-regional cancer incidence is estimated using a variety of methods. Quantifying the cancer burden in children (<15 years) is more challenging than in adults; childhood cancer is rare and often presents with non-specific symptoms that mimic those of more prevalent infectious and nutritional conditions.
METHODS: A Baseline Model (BM) was constructed comprising a set of quality assured sex- and age-specific cancer rates derived from the US Surveillance, Epidemiology and End Results (SEER) program, for diagnostic groups of the International Classification of Childhood Cancers (ICCC-3) 3rd edition, and information on a known risk factor for endemic Burkitt lymphoma and Kaposi's sarcoma. These rates were applied to global country-level population data for 2015 to estimate the global and regional incidence of childhood cancer. Results were compared to GLOBOCAN 2018, extrapolations from the International Incidence of Childhood Cancer (IICC-3) and estimates from the Global Childhood Cancer (GCC) model (based on IICC-3 data combined with information on health care systems and other parameters).
RESULTS: The BM estimated 360,114 total childhood cancers occurring worldwide in 2015; 54% in Asia and 28% in Africa. BM estimated standardised rates ranged from ∼178 cases per million in Europe and North America, through to ∼218 cases per million in West and Middle Africa. Totals from GLOBOCAN and extrapolations from the IICC-3 study were lower (44.6% and 34.7% respectively), but the estimate from the GCC model was 10.2% higher. In all models, agreement was good in countries with very high human development index (HDI), but more variable in countries with medium and low HDIs; the discrepancies correlating with registration coverage across these settings.
CONCLUSION: Disagreements between the BM estimates and other sources occur in areas where health systems are insufficiently equipped to provide adequate access to diagnosis, treatment, and supportive care. Incorporating aetiological evidence into the BM enabled the estimation of the additional burden of Burkitt lymphoma and Kaposi sarcoma; similar adjustments could be applied to other cancers, as and when information becomes available.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Burkitt lymphoma; Cancer registry; Childhood cancer; Estimates; Global; Global estimates; Incidence; Kaposi sarcoma

Year:  2020        PMID: 31924557     DOI: 10.1016/j.canep.2019.101662

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  17 in total

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Review 2.  Cancer in sub-Saharan Africa: a Lancet Oncology Commission.

Authors:  Wilfred Ngwa; Beatrice W Addai; Isaac Adewole; Victoria Ainsworth; James Alaro; Olusegun I Alatise; Zipporah Ali; Benjamin O Anderson; Rose Anorlu; Stephen Avery; Prebo Barango; Noella Bih; Christopher M Booth; Otis W Brawley; Jean-Marie Dangou; Lynette Denny; Jennifer Dent; Shekinah N C Elmore; Ahmed Elzawawy; Diane Gashumba; Jennifer Geel; Katy Graef; Sumit Gupta; Serigne-Magueye Gueye; Nazik Hammad; Laila Hessissen; Andre M Ilbawi; Joyce Kambugu; Zisis Kozlakidis; Simon Manga; Lize Maree; Sulma I Mohammed; Susan Msadabwe; Miriam Mutebi; Annet Nakaganda; Ntokozo Ndlovu; Kingsley Ndoh; Jerry Ndumbalo; Mamsau Ngoma; Twalib Ngoma; Christian Ntizimira; Timothy R Rebbeck; Lorna Renner; Anya Romanoff; Fidel Rubagumya; Shahin Sayed; Shivani Sud; Hannah Simonds; Richard Sullivan; William Swanson; Verna Vanderpuye; Boateng Wiafe; David Kerr
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3.  Gene expression profiling utilizing extremely sensitive CDNA arrays and enrichment-based network study of major bone cancer genes.

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4.  Technology-Assisted Psychosocial Interventions for Childhood, Adolescent, and Young Adult Cancer Survivors: A Systematic Review and Meta-Analysis.

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5.  MicroRNA childhood cancer catalog (M3Cs): a resource for translational bioinformatics toward health informatics in pediatric cancer.

Authors:  Wafaa M Rashed; Fatima Adel; Mohamed A Rezk; Lina Basiouny; Ahmed A Rezk; Ahmed H Abdel-Razek
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6.  Analysis of the Spectrum and Characteristics of Pediatric Cancer Based on Hospital Information Systems in China.

Authors:  Huining Zhou; Zhengyi Wu; Hui Wang; Wenya Yu; Jiaoling Huang; Liang Zhou; Dehua Yu; Tianchun Hou; Yipeng Lv; Chen Chen; Li Luo; Jianwei Shi; Zhaoxin Wang
Journal:  Cancer Manag Res       Date:  2021-02-11       Impact factor: 3.989

7.  Impact of childhood cancer on the family: evidence from Bangladesh.

Authors:  Md Ziaul Islam; Sharmin Farjana; Syeda Sumaiya Efa
Journal:  Heliyon       Date:  2021-02-13

Review 8.  Risk Factors for Childhood Leukemia: Radiation and Beyond.

Authors:  Janine-Alison Schmidt; Sabine Hornhardt; Friederike Erdmann; Isidro Sánchez-García; Ute Fischer; Joachim Schüz; Gunde Ziegelberger
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Review 9.  The Use of Heptamethine Cyanine Dyes as Drug-Conjugate Systems in the Treatment of Primary and Metastatic Brain Tumors.

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Review 10.  Modeling the developmental origins of pediatric cancer to improve patient outcomes.

Authors:  James F Amatruda
Journal:  Dis Model Mech       Date:  2021-02-22       Impact factor: 5.732

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