Spatio-Temporal Analysis of Childhood Acute Lymphocytic Leukemia in Cali, Colombia, 2000-2015
DOI:
https://doi.org/10.35509/01239015.795Keywords:
Cancer, childhood cancer, Leukemia, Acute lymphocytic leukemia, children, Clusters, Colombia, spatial analysis, Moran’s indexAbstract
Introduction: Leukemia is the most common type of cancer in children both in the world and in Colombia. Acute lymphocytic leukemia (C-ALL) represents 30% of cancers Childhood. The available evidence from studies on the presence of clusters of C-ALL is inconclusive.
Objective: To determine the spatial distribution of C-ALL in the city of Cali.
Methods: Cases of C-ALL recorded between 2000-2015 in the city of Cali, Colombia, were included. The census sectors and the projected population of the DANE were used for spatial analyses. The adjusted rates, Moran’s index, and Getis-Ord’s index were calculated. Census sectors–rate maps, heat maps, optimized hot-spot maps, kernel density maps, and Kulldorff’s circular spatial scanning maps were constructed.
Results: Kulldorff’s spatial and spatiotemporal analysis and hot-spot analysis identified a stable cluster. The independent analysis yielded two clusters with statistical significance.
Conclusion: The results suggest the presence of two C-ALL clusters in the city of Cali.
References
Roman E, Smith AG, Linet MS, Schüz J. 5.20 Leukaemias. Understanding pathogenesis through similarities and differences. In: Wild C, Weiderpass E, Stewart B, editors. World Cancer Report: Cancer Research for Cancer Prevention [Internet]. Lyon, France: International Agency for Research on Cancer; 2020. p. 477–84. Available from: http://publications.iarc.fr/586
Steliarova-Foucher E, Colombet M, Ries L, Moreno F, Dolya A, Bray F, et al. International incidence of childhood cancer, 2001-10: a population-based registry study. Lancet Oncol. 2017;18(6):719–31.
Hunger S, Mullighan C. Acute lymphoblastic leukemia in children. N Engl J Med. 2015;373(16):1541–52.
IARC. Registry-specific tables [Internet]. Francia; 2017. Available from: https://iicc.iarc.fr/results/registries.php
Magrath I, Steliarova-Foucher E, Epelman S, Ribeiro RC, Harif M, Li CK, et al. Paediatric cancer in low-income and middle-income countries. Lancet Oncol. 2013;14:e104–16.
Cuenta de Alto Costo. Situación del cáncer de la población atendida en el SGSSS de Colombia. Cuenta Alto Costo [Internet]. 2016; Available from: https://cuentadealtocosto.org/site/images/Publicaciones/2018/Situacion_del_cancer_en_la_poblacion_pediatrica_Colombia_2016.pdf
Cuenta de Alto Costo. Día internacional de la lucha contra el cáncer infantil. Boletín Inf técnica Espec la Cuenta Alto Costo. 2018;4(2):1–6. Available from: file:///C:/Users/yasol/OneDrive/Documentos/cancer infantil/cancer infantil/cancer-infantil.pdf
ESRI. Análisis de puntos calientes optimizado [Internet]. ArcGIS pro. 2020. Available from: https://pro.arcgis.com/es/pro-app/tool-reference/spatial-statistics/optimized-hot-spot-analysis.htm
Pfeiffer DU, Robinson TP, Stevenson M, Stevens KB, Rogers DJ, Clements ACA. Spatial Analysis in Epidemiology. Spatial Analysis in Epidemiology. New York: Oxford University Press; 2008.
Kreis C, Doessegger E, Lupatsch JE, Spycher BD. Space–time clustering of childhood cancers: a systematic review and pooled analysis. Eur J Epidemiol. 2019;138(9):2127–35.
Rodriguez-Villamizar LA, Rojas Díaz MP, Acuña Merchán LA, Moreno-Corzo FE, Ramírez-Barbosa P. Space-time clustering of childhoodleukemia in Colombia: a nationwide study. BMC Cancer. 2020;20:48.
Departamento Administrativo de Planeación. Cali en cifras 2018-2019. Cali; 2019.
DANE. Censo General 2005 [Internet]. Bogota; 2005. Available from: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/censo-general-2005-1/censo-general-2005
DANE. Geoportal [Internet]. Nivel Geográfico Área Censal Urbana (Cabeceras y Centros Poblados). 2018 [cited 2020 Apr 20]. Available from: https://geoportal.dane.gov.co/servicios/descarga-y-metadatos/descarga-mgn-marco-geoestadistico-nacional/
García LS, Bravo LE, Collazos P, Ramírez O, Carrascal E, Nuñez M, et al. Cali Cancer Registry Methods. Colomb Med (Cali). 2018;49(1):109–20.
DANE. Geoportal [Internet]. 2018. Available from: https://geoportal.dane.gov.co/
Valbuena-García A, Rodríguez-Villamizar L. Análisis espacial en epidemiología: revisión de métodos. Rev Univ Ind Santander Salud. 2018;50(4):358–65.
Jones S, Kulldorff M. Influence of spatial resolution on space-time disease cluster detection. PLoS One. 2012;7(10):e48036.
Kulldorff M. A spatial scan statistic. Commun Stat - Theory Methods. 1997;26(6):1481–96.
Knox E. Leukaemia clusters in childhood: geographical analysis in Britain. J Epidemiol Community Heal. 1994;48:369–76.
McNally R, Alexander F, Vincent T, Murphy M. Spatial clustering of childhood cancer in Great Britain during the period 1969–1993. Int J Cancer. 2009;124(4):932–6.
Cárceles-Álvarez A, Ortega-García JA, López-Hernández FA, Orozco-Llamas M, Espinosa-López B, Tobarra-Sánchez E, et al. Spatial clustering of childhood leukaemia with the integration of the Paediatric Environmental History. Environ Res. 2017;156:605–12.
Nikkilä A, Raitanen J, Lohi O, Auvinen A. Spatio-Temporal Clustering of Childhood Leukemia Relative to Population Mixing in Finland: A Nationwide Register-Based Study. Blood. 2019;134(Suppl 1):5070.
Konstantinoudis G, Kreis C, Ammann RA, Niggli F, Kuehni CE, Spycher BD. Spatial clustering of childhood leukaemia in Switzerland: A nationwide study. Int J Cancer. 2017;141(7):1324–32.
Nyari TA, Ottóffy G, Bartyik K, Thurzó L, Solymosi N, Cserni G, et al. Spatial clustering of childhood acute lymphoblastic leukaemia in Hungary. Pathol Oncol Res. 2013;19(2):297–302.
Ortega-García JA, López-Hernández FA, Cárceles-Álvarez A, Fuster-Soler JL, Sotomayor DI, Ramis R. Childhood cancer in small geographical areas and proximity to air-polluting industries. Environ Res. 2017;156:63–73.
García-Pérez J, López-Abente G, Gómez-Barroso D, Morales-Piga A, Pardo Romaguera E, Tamayo I, et al. Childhood leukemia and residential proximity to industrial and urban sites. Environ Res. 2015;140:542–53.
Alexander F, Chan L, Lam T, Yuen P, Leung N, Ha S, et al. Clustering of With, childhood leukaemia in Hong Kong: association with the childhood peak and common acute lymphoblastic leukaemia and population mixing. Br J Cancer. 1997;75(3):457–63.
Alexander F, Boyle P, Carli P, Coebergh J, Draper G, Ekbom, A et al. Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project. Br J Cancer. 1998;77(5):818–24.
Birch J, Alexander F, Blair V, Eden O, Taylor G, McNally R. Space–time clustering patterns in childhood leukaemia support a role for infection. Br J Cancer. 2000;82(9):1571–6.
Metayer C, Scelo G, Kang AY, Gunier RB, Reinier K, Lea S, et al. A task-based assessment of parental occupational exposure to organic solvents and other compounds and the risk of childhood leukemia in California. Environ Res. 2016;151:174–83.
Schmiedel S, Blettner M, Kaatsch P, Schuz J. Spatial clustering and space–time clusters of leukemia among children in Germany, 1987–2007. Eur J Epidemiol. 2010;25:627–633.
Emerenciano M, Koifman S, Pombo-de-Oliveira MS. Acute leukemia in early childhood. Brazilian Journal of Medical and Biological Research. 2007.
Wiemels J. Perspectives on the causes of childhood leukemia. Chem Biol Interact. 2012;196(3):59–67.
Valbuena-Garcia AM, Rodriguez-Villamizar LA, Uribe-Pérez CJ, Moreno-Corzo FE, Ortiz-Martinez RG. A spatial analysis of childhood cancer and industrial air pollution in a metropolitan area of Colombia. Pediatr Blood Cancer [Internet]. 2020;67(9). Available from: https://doi.org/10.1002/pbc.28353
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Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
Grant numbers Contract No. 789-2017
