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Geographic Variation in Late-Stage Cervical Cancer Diagnosis

IMPORTANCE: There are stark disparities in cervical cancer burden in the United States, notably by race and ethnicity and geography. Late-stage diagnosis is an indicator of inadequate access to and utilization of screening. OBJECTIVE: To identify geospatial clusters of late-stage cervical cancer at...

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Autores principales: Sokale, Itunu O., Thrift, Aaron P., Montealegre, Jane, Adekanmbi, Victor, Chido-Amajuoyi, Onyema G., Amuta, Ann, Reitzel, Lorraine R., Oluyomi, Abiodun O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644213/
https://www.ncbi.nlm.nih.gov/pubmed/37955896
http://dx.doi.org/10.1001/jamanetworkopen.2023.43152
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author Sokale, Itunu O.
Thrift, Aaron P.
Montealegre, Jane
Adekanmbi, Victor
Chido-Amajuoyi, Onyema G.
Amuta, Ann
Reitzel, Lorraine R.
Oluyomi, Abiodun O.
author_facet Sokale, Itunu O.
Thrift, Aaron P.
Montealegre, Jane
Adekanmbi, Victor
Chido-Amajuoyi, Onyema G.
Amuta, Ann
Reitzel, Lorraine R.
Oluyomi, Abiodun O.
author_sort Sokale, Itunu O.
collection PubMed
description IMPORTANCE: There are stark disparities in cervical cancer burden in the United States, notably by race and ethnicity and geography. Late-stage diagnosis is an indicator of inadequate access to and utilization of screening. OBJECTIVE: To identify geospatial clusters of late-stage cervical cancer at time of diagnosis in Texas. DESIGN, SETTING, AND PARTICIPANTS: This population-based cross-sectional study used incident cervical cancer data from the Texas Cancer Registry from 2014 to 2018 of female patients aged 18 years or older. Late-stage cervical cancer cases were geocoded at the census tract level (n = 5265) using their residential coordinates (latitude and longitude) at the time of diagnosis. Statistical analysis was performed from April to September 2023. EXPOSURES: Census tract of residence at diagnosis. MAIN OUTCOME AND MEASURES: Late-stage cervical cancer diagnosis (ie, cases classified by the National Cancer Institute Surveillance, Epidemiology and End Results summary stages 2 to 4 [regional spread] or 7 [distant metastasis]). A Poisson probability-based model of the SaTScan purely spatial scan statistics was applied at the census tract–level to identify geographic clusters of higher (hot spots) or lower (cold spots) proportions than expected of late-stage cervical cancer diagnosis and adjusted for age. RESULTS: Among a total of 6484 female patients with incident cervical cancer cases (mean [SD] age, 48.7 [14.7] years), 2300 (35.5%) were Hispanic, 798 (12.3%) were non-Hispanic Black, 3090 (47.6%) were non-Hispanic White, and 296 (4.6%) were other race or ethnicity. Of the 6484 patients, 2892 with late-stage diagnosis (mean [SD] age, 51.8 [14.4] years were analyzed. Among patients with late-stage diagnosis, 1069 (37.0%) were Hispanic, 417 (14.4%) were non-Hispanic Black, 1307 (45.2%) were non-Hispanic White, and 99 (3.4%) were other race or ethnicity. SaTScan spatial analysis identified 7 statistically significant clusters of late-stage cervical cancer diagnosis in Texas, of which 4 were hot spots and 3 were cold spots. Hot spots included 1128 census tracts, predominantly in the South Texas Plains, Gulf Coast, and Prairies and Lakes (North Texas) regions. Of the 2892 patients with late-stage cervical cancer, 880 (30.4%) were observed within hot spots. Census tract–level comparison of characteristics of clusters suggested that hot spots differed significantly from cold spots and the rest of Texas by proportions of racial and ethnic groups, non–US born persons, and socioeconomic status. CONCLUSIONS AND RELEVANCE: In this cross-sectional study examining geospatial clusters of late-stage cervical cancer diagnosis, place-based disparities were found in late-stage cervical cancer diagnosis in Texas. These findings suggest that these communities may benefit from aggressive cervical cancer interventions.
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spelling pubmed-106442132023-11-15 Geographic Variation in Late-Stage Cervical Cancer Diagnosis Sokale, Itunu O. Thrift, Aaron P. Montealegre, Jane Adekanmbi, Victor Chido-Amajuoyi, Onyema G. Amuta, Ann Reitzel, Lorraine R. Oluyomi, Abiodun O. JAMA Netw Open Original Investigation IMPORTANCE: There are stark disparities in cervical cancer burden in the United States, notably by race and ethnicity and geography. Late-stage diagnosis is an indicator of inadequate access to and utilization of screening. OBJECTIVE: To identify geospatial clusters of late-stage cervical cancer at time of diagnosis in Texas. DESIGN, SETTING, AND PARTICIPANTS: This population-based cross-sectional study used incident cervical cancer data from the Texas Cancer Registry from 2014 to 2018 of female patients aged 18 years or older. Late-stage cervical cancer cases were geocoded at the census tract level (n = 5265) using their residential coordinates (latitude and longitude) at the time of diagnosis. Statistical analysis was performed from April to September 2023. EXPOSURES: Census tract of residence at diagnosis. MAIN OUTCOME AND MEASURES: Late-stage cervical cancer diagnosis (ie, cases classified by the National Cancer Institute Surveillance, Epidemiology and End Results summary stages 2 to 4 [regional spread] or 7 [distant metastasis]). A Poisson probability-based model of the SaTScan purely spatial scan statistics was applied at the census tract–level to identify geographic clusters of higher (hot spots) or lower (cold spots) proportions than expected of late-stage cervical cancer diagnosis and adjusted for age. RESULTS: Among a total of 6484 female patients with incident cervical cancer cases (mean [SD] age, 48.7 [14.7] years), 2300 (35.5%) were Hispanic, 798 (12.3%) were non-Hispanic Black, 3090 (47.6%) were non-Hispanic White, and 296 (4.6%) were other race or ethnicity. Of the 6484 patients, 2892 with late-stage diagnosis (mean [SD] age, 51.8 [14.4] years were analyzed. Among patients with late-stage diagnosis, 1069 (37.0%) were Hispanic, 417 (14.4%) were non-Hispanic Black, 1307 (45.2%) were non-Hispanic White, and 99 (3.4%) were other race or ethnicity. SaTScan spatial analysis identified 7 statistically significant clusters of late-stage cervical cancer diagnosis in Texas, of which 4 were hot spots and 3 were cold spots. Hot spots included 1128 census tracts, predominantly in the South Texas Plains, Gulf Coast, and Prairies and Lakes (North Texas) regions. Of the 2892 patients with late-stage cervical cancer, 880 (30.4%) were observed within hot spots. Census tract–level comparison of characteristics of clusters suggested that hot spots differed significantly from cold spots and the rest of Texas by proportions of racial and ethnic groups, non–US born persons, and socioeconomic status. CONCLUSIONS AND RELEVANCE: In this cross-sectional study examining geospatial clusters of late-stage cervical cancer diagnosis, place-based disparities were found in late-stage cervical cancer diagnosis in Texas. These findings suggest that these communities may benefit from aggressive cervical cancer interventions. American Medical Association 2023-11-13 /pmc/articles/PMC10644213/ /pubmed/37955896 http://dx.doi.org/10.1001/jamanetworkopen.2023.43152 Text en Copyright 2023 Sokale IO et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Sokale, Itunu O.
Thrift, Aaron P.
Montealegre, Jane
Adekanmbi, Victor
Chido-Amajuoyi, Onyema G.
Amuta, Ann
Reitzel, Lorraine R.
Oluyomi, Abiodun O.
Geographic Variation in Late-Stage Cervical Cancer Diagnosis
title Geographic Variation in Late-Stage Cervical Cancer Diagnosis
title_full Geographic Variation in Late-Stage Cervical Cancer Diagnosis
title_fullStr Geographic Variation in Late-Stage Cervical Cancer Diagnosis
title_full_unstemmed Geographic Variation in Late-Stage Cervical Cancer Diagnosis
title_short Geographic Variation in Late-Stage Cervical Cancer Diagnosis
title_sort geographic variation in late-stage cervical cancer diagnosis
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644213/
https://www.ncbi.nlm.nih.gov/pubmed/37955896
http://dx.doi.org/10.1001/jamanetworkopen.2023.43152
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