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Clustering of uveal melanoma: County wide analysis within Ohio

PURPOSE: To determine if a greater than expected number of cases (clustering) of uveal melanoma occurred within Ohio for any specific region or time period as compared to others. DESIGN: Analysis of population database. METHODS: Ohio Cancer Incidence Surveillance System (OCISS) database (2000–2019)...

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Autores principales: Clevenger, Leanne M., Wrenn, Jacquelyn D., Bena, James, Sodhi, Guneet, Tullio, Katherine, Singh, Arun D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437964/
https://www.ncbi.nlm.nih.gov/pubmed/37594976
http://dx.doi.org/10.1371/journal.pone.0290284
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author Clevenger, Leanne M.
Wrenn, Jacquelyn D.
Bena, James
Sodhi, Guneet
Tullio, Katherine
Singh, Arun D.
author_facet Clevenger, Leanne M.
Wrenn, Jacquelyn D.
Bena, James
Sodhi, Guneet
Tullio, Katherine
Singh, Arun D.
author_sort Clevenger, Leanne M.
collection PubMed
description PURPOSE: To determine if a greater than expected number of cases (clustering) of uveal melanoma occurred within Ohio for any specific region or time period as compared to others. DESIGN: Analysis of population database. METHODS: Ohio Cancer Incidence Surveillance System (OCISS) database (2000–2019) was accessed for the diagnosis of uveal melanoma using the International Classification of Disease for Oncology codes: C69.3 (choroid), C69.4 (ciliary body and iris). Counties within Ohio were grouped by geographic regions (7) and socioeconomic variables. Age- and race-standardized incidence ratios (SIR) were calculated to determine temporal or geographic clustering. RESULTS: Over the twenty-year period, the total number of uveal melanoma cases reported within Ohio were 1,617 with the overall age-adjusted annual incidence of 6.72 cases per million population (95% CI 6.30–7.16). There was an increase in the incidence of uveal melanoma over 20 years (p<0.001) across seven geographic regions, but no significant difference in incidence rates between the regions. There was no difference in incidence based on county classification by age composition (p = 0.14) or education level (p = 0.11). Counties with a low median household income (p<0.001), those classified as urban (p = 0.004), and those with a greater minority population (p = 0.004) had lower incidence. Less populated counties had a higher incidence of uveal melanoma (p<0.001). CONCLUSIONS: There is no evidence of geographic or temporal clustering of uveal melanoma within Ohio from 2000 to 2019.
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spelling pubmed-104379642023-08-19 Clustering of uveal melanoma: County wide analysis within Ohio Clevenger, Leanne M. Wrenn, Jacquelyn D. Bena, James Sodhi, Guneet Tullio, Katherine Singh, Arun D. PLoS One Research Article PURPOSE: To determine if a greater than expected number of cases (clustering) of uveal melanoma occurred within Ohio for any specific region or time period as compared to others. DESIGN: Analysis of population database. METHODS: Ohio Cancer Incidence Surveillance System (OCISS) database (2000–2019) was accessed for the diagnosis of uveal melanoma using the International Classification of Disease for Oncology codes: C69.3 (choroid), C69.4 (ciliary body and iris). Counties within Ohio were grouped by geographic regions (7) and socioeconomic variables. Age- and race-standardized incidence ratios (SIR) were calculated to determine temporal or geographic clustering. RESULTS: Over the twenty-year period, the total number of uveal melanoma cases reported within Ohio were 1,617 with the overall age-adjusted annual incidence of 6.72 cases per million population (95% CI 6.30–7.16). There was an increase in the incidence of uveal melanoma over 20 years (p<0.001) across seven geographic regions, but no significant difference in incidence rates between the regions. There was no difference in incidence based on county classification by age composition (p = 0.14) or education level (p = 0.11). Counties with a low median household income (p<0.001), those classified as urban (p = 0.004), and those with a greater minority population (p = 0.004) had lower incidence. Less populated counties had a higher incidence of uveal melanoma (p<0.001). CONCLUSIONS: There is no evidence of geographic or temporal clustering of uveal melanoma within Ohio from 2000 to 2019. Public Library of Science 2023-08-18 /pmc/articles/PMC10437964/ /pubmed/37594976 http://dx.doi.org/10.1371/journal.pone.0290284 Text en © 2023 Clevenger et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Clevenger, Leanne M.
Wrenn, Jacquelyn D.
Bena, James
Sodhi, Guneet
Tullio, Katherine
Singh, Arun D.
Clustering of uveal melanoma: County wide analysis within Ohio
title Clustering of uveal melanoma: County wide analysis within Ohio
title_full Clustering of uveal melanoma: County wide analysis within Ohio
title_fullStr Clustering of uveal melanoma: County wide analysis within Ohio
title_full_unstemmed Clustering of uveal melanoma: County wide analysis within Ohio
title_short Clustering of uveal melanoma: County wide analysis within Ohio
title_sort clustering of uveal melanoma: county wide analysis within ohio
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437964/
https://www.ncbi.nlm.nih.gov/pubmed/37594976
http://dx.doi.org/10.1371/journal.pone.0290284
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