Details:

Alternative Title:
Epidemiology
Publisher's site:
http://dx.doi.org/10.1097/EDE.0000000000001121
Personal Author:
Francis, Stephen Starko ; Enders, Catherine ; Hyde, Rebecca ; Gao, Xing ; Wang, Rong ; ... More +
Francis, Stephen Starko ; Enders, Catherine ; Hyde, Rebecca ; Gao, Xing ; Wang, Rong ; Ma, Xiaomei ; Wiemels, Joseph L. ; Selvin, Steve ; Metayer, Catherine ; Less -
Description:
Background: The observance of non-random space–time groupings of childhood cancer has been a concern of health professionals and the general public for decades. Many childhood cancers are suspected to have initiated in utero; therefore, we examined the spatial–temporal randomness of the birthplace of children who later developed cancer. Methods: We performed a space–time cluster analysis using birth addresses of 5,896 cases and 23,369 population-based, age-, sex- and race/ethnicity-matched controls in California from 1997–2007, evaluating 20 types of childhood cancer and three a priori designated subgroups of childhood acute lymphoblastic leukemia (ALL). We analyzed data using a newly designed semiparametric analysis program, ClustR, and a common algorithm, SaTScan. Results: We observed evidence for non-random space–time clustering for ALL diagnosed at 2–6 years of age in the South San Francisco Bay Area (ClustR p=0.04, SaTScan p=0.07), and malignant gonadal germ cell tumors in a region of Los Angeles (ClustR p=0.03, SaTScan p=0.06). ClustR did not identify evidence of clustering for other childhood cancers, though SaTScan suggested some clustering for Hodgkin lymphoma (p=0.09), astrocytoma (p=0.06) and retinoblastoma (p=0.06). Conclusion: Our study provides evidence that childhood ALL diagnosed at 2–6 years and malignant gonadal germ cell tumors sporadically occurs in non-random space–time clusters. Further research is warranted to identify epidemiologic features that may inform the underlying etiology.
Subject:
[+]
Acute Lymphoblastic Leukemia
Article
California
Child
Child, Preschool
Childhood Cancer
ClustR
Female
Gonadal Germ Cell Tumors
Humans
Male
Neoplasms
SaTScan
Space-Time Clustering
Space–time Clustering

Source:
Epidemiology. 31(2):214-223 ;
Pubmed ID:
31596791
Pubmed Central ID:
PMC9005107
Document Type:
Journal Article ;
Funding:
HHSN261201000140C/CA/NCI NIH HHSUnited States/ ; HHSN261201000035C/CA/NCI NIH HHSUnited States/ ; P30 CA014089/CA/NCI NIH HHSUnited States/ ; HHSN261201000035I/CA/NCI NIH HHSUnited States/ ; HHSN261201000034C/CA/NCI NIH HHSUnited States/ ; ... More +
HHSN261201000140C/CA/NCI NIH HHSUnited States/ ; HHSN261201000035C/CA/NCI NIH HHSUnited States/ ; P30 CA014089/CA/NCI NIH HHSUnited States/ ; HHSN261201000035I/CA/NCI NIH HHSUnited States/ ; HHSN261201000034C/CA/NCI NIH HHSUnited States/ ; U58 DP003862/DP/NCCDPHP CDC HHSUnited States/ ; Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:27442ba23df1846047502f112de93b85cc7855ff2f5f204958e3f92738ac09e2
File Type:

Supporting Files

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