BACKGROUND: Investigations of suspected cancer clusters are resource intensive and rarely identify true clusters: among 428 publicly reported US investigations during 1990-2011, only 1 etiologic cluster was identified. In 2013, the Cancer Data Registry of Idaho (CDRI) was contacted regarding a suspected cancer cluster at a worksite (Cluster A) and among an occupational cohort (Cluster B). We investigated to determine whether these were true clusters. METHODS: We derived investigation cohorts for Cluster A from facility-provided employee records and for Cluster B from professional licensing records. We used Registry PlusTM Link Plus to conduct probabilistic linkage of cohort members to the CDRI registry and completed matching through manual review by using LexisNexis®, Accurint®, and the Social Security Death Index. We calculated standardized incidence ratios (SIR) using the MP-SIR session type in SEER*Stat and Idaho and US referent populations. RESULTS: For Cluster A, we identified 34 cancer cases during 9,689 person-years; compared with Idaho and US rates, 95 percent CIs for SIRs included 1.0 for 24 of 24 primary site categories. For Cluster B, we identified 78 cancer cases during 15,154 person-years; compared with Idaho rates, 95 percent CI for SIRs included 1.0 for 23 of 24 primary site categories and was less than 1.0 for lung and bronchus cancers, and compared with US rates, 95 percent CI for SIRs included 1.0 for 22 of 24 primary site categories and was less than 1.0 for lung and bronchus and colorectal cancers. CONCLUSION: We identified no statistically significant excess in cancer incidence in either cohort. SEER*Stat's MP-SIR is an efficient tool for performing SIR assessments, a Centers for Disease Control and Prevention/Council of State and Territorial Epidemiologists-recommended step when investigating suspected cancer clusters.
BACKGROUND: Investigations of suspected cancer clusters are resource intensive and rarely identify true clusters: among 428 publicly reported US investigations during 1990-2011, only 1 etiologic cluster was identified. In 2013, the Cancer Data Registry of Idaho (CDRI) was contacted regarding a suspected cancer cluster at a worksite (Cluster A) and among an occupational cohort (Cluster B). We investigated to determine whether these were true clusters. METHODS: We derived investigation cohorts for Cluster A from facility-provided employee records and for Cluster B from professional licensing records. We used Registry PlusTM Link Plus to conduct probabilistic linkage of cohort members to the CDRI registry and completed matching through manual review by using LexisNexis®, Accurint®, and the Social Security Death Index. We calculated standardized incidence ratios (SIR) using the MP-SIR session type in SEER*Stat and Idaho and US referent populations. RESULTS: For Cluster A, we identified 34 cancer cases during 9,689 person-years; compared with Idaho and US rates, 95 percent CIs for SIRs included 1.0 for 24 of 24 primary site categories. For Cluster B, we identified 78 cancer cases during 15,154 person-years; compared with Idaho rates, 95 percent CI for SIRs included 1.0 for 23 of 24 primary site categories and was less than 1.0 for lung and bronchus cancers, and compared with US rates, 95 percent CI for SIRs included 1.0 for 22 of 24 primary site categories and was less than 1.0 for lung and bronchus and colorectal cancers. CONCLUSION: We identified no statistically significant excess in cancer incidence in either cohort. SEER*Stat's MP-SIR is an efficient tool for performing SIR assessments, a Centers for Disease Control and Prevention/Council of State and Territorial Epidemiologists-recommended step when investigating suspected cancer clusters.
Authors: Mary K Schubauer-Berigan; Misty J Hein; William M Raudabaugh; Avima M Ruder; Sharon R Silver; Steven Spaeth; Kyle Steenland; Martin R Petersen; Kathleen M Waters Journal: Am J Ind Med Date: 2011-08-30 Impact factor: 2.214
Authors: Justin T Huntington; Mathew Butterfield; James Fisher; Daniel Torrent; Mark Bloomston Journal: Am J Cancer Res Date: 2013-11-01 Impact factor: 6.166
Authors: Elizabeth M Ward; Paul A Schulte; Steve Bayard; Aaron Blair; Paul Brandt-Rauf; Mary Ann Butler; David Dankovic; Ann F Hubbs; Carol Jones; Myra Karstadt; Gregory L Kedderis; Ronald Melnick; Carrie A Redlich; Nathaniel Rothman; Russell E Savage; Michael Sprinker; Mark Toraason; Ainsley Weston; Andrew F Olshan; Patricia Stewart; Sheila Hoar Zahm Journal: Environ Health Perspect Date: 2003-01 Impact factor: 9.031
Authors: Michael Goodman; Judy S LaKind; Jerald A Fagliano; Timothy L Lash; Joseph L Wiemels; Deborah M Winn; Chirag Patel; Juliet Van Eenwyk; Betsy A Kohler; Enrique F Schisterman; Paul Albert; Donald R Mattison Journal: Int J Environ Res Public Health Date: 2014-01-28 Impact factor: 3.390