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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)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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. |
format | Online Article Text |
id | pubmed-10437964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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