Alberto Tlacuilo-Parra1, Roberto Garibaldi-Covarrubias2, Hugo Romo-Rubio2,3, Leonardo Soto-Sumuano1,4, Carlos Fernando Ruiz-Chávez5, Mijail Suárez-Arredondo1, Fernando Sánchez-Zubieta3, Sergio Gallegos-Castorena3. 1. Medical Research Division, UMAE Hospital de Pediatría CMNO, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jal. Mexico. 2. Pediatric Hematology and Oncology Department, UMAE Hospital de Pediatría CMNO, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jal. Mexico. 3. Pediatric Hematology and Oncology Department, Nuevo Hospital Civil de Guadalajara, Guadalajara, Jal. Mexico. 4. Information Systems Department CUCEA, Universidad de Guadalajara, Zapopan, Guadalajara, Jal. Mexico. 5. Division of Clinical Cancer Genomics, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Abstract
BACKGROUND: Acute leukemia is the most common cancer in childhood. Analyzing the spatial distribution of acute leukemia may generate the identification of risk factors. OBJECTIVE: To study the incidence rate of acute leukemia, its geographic distribution, and cluster detection in the metropolitan area of Guadalajara, Mexico. METHODS: We included children under 15 years of age diagnosed with acute leukemia during the period 2010-2014 in the metropolitan area of Guadalajara. Each case was geo-referenced to street level to latitude and longitude coordinates using Quantum Geographic Information System (QGIS). Spatial clusters were found in the location of the acute leukemia cases applying the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm with R statistical software. RESULTS: A total of 269 cases of leukemia were registered, 227 (84%) were acute lymphoblastic leukemia and 42 (16%) acute myeloblastic leukemia. The mean age was 6 ± 4 years. The mean incidence of acute leukemia was 6.44 cases/100,000 inhabitants: El Salto 10.12/100,000, Guadalajara 7.55/100,000, and Tlaquepaque 6.74/100,000. The DBSCAN found three clusters, all located within the municipality of Guadalajara. CONCLUSIONS: The incidence of acute leukemia in our population is higher than that in Canada and the USA. We found three spatial clusters of childhood acute lymphoblastic leukemia in the municipality of Guadalajara, suggesting the presence of local predisposing factors.
BACKGROUND:Acute leukemia is the most common cancer in childhood. Analyzing the spatial distribution of acute leukemia may generate the identification of risk factors. OBJECTIVE: To study the incidence rate of acute leukemia, its geographic distribution, and cluster detection in the metropolitan area of Guadalajara, Mexico. METHODS: We included children under 15 years of age diagnosed with acute leukemia during the period 2010-2014 in the metropolitan area of Guadalajara. Each case was geo-referenced to street level to latitude and longitude coordinates using Quantum Geographic Information System (QGIS). Spatial clusters were found in the location of the acute leukemia cases applying the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm with R statistical software. RESULTS: A total of 269 cases of leukemia were registered, 227 (84%) were acute lymphoblastic leukemia and 42 (16%) acute myeloblastic leukemia. The mean age was 6 ± 4 years. The mean incidence of acute leukemia was 6.44 cases/100,000 inhabitants: El Salto 10.12/100,000, Guadalajara 7.55/100,000, and Tlaquepaque 6.74/100,000. The DBSCAN found three clusters, all located within the municipality of Guadalajara. CONCLUSIONS: The incidence of acute leukemia in our population is higher than that in Canada and the USA. We found three spatial clusters of childhood acute lymphoblastic leukemia in the municipality of Guadalajara, suggesting the presence of local predisposing factors.
Authors: Laura Andrea Rodriguez-Villamizar; Feisar Enrique Moreno-Corzo; Ana María Valbuena-Garcia; Claudia Janeth Uribe Pérez; Mary Ruth Brome Bohórquez; Héctor Iván García García; Luis Eduardo Bravo; Rafael Gustavo Ortiz Martínez; Jürg Niederbacher Velásquez; Alvaro R Osornio-Vargas Journal: Int J Environ Res Public Health Date: 2020-10-29 Impact factor: 3.390
Authors: Laura Andrea Rodriguez-Villamizar; Marcela Pilar Rojas Díaz; Lizbeth Alexandra Acuña Merchán; Feisar Enrique Moreno-Corzo; Paula Ramírez-Barbosa Journal: BMC Cancer Date: 2020-01-20 Impact factor: 4.430