Geographic Variation in Late-Stage Cervical Cancer Diagnosis

被引:9
作者
Sokale, Itunu [1 ,2 ,8 ]
Thrift, Aaron [1 ,2 ]
Montealegre, Jane [3 ]
Adekanmbi, Victor [4 ]
Chido-Amajuoyi, Onyema [5 ]
Amuta, Ann [6 ]
Reitzel, Lorraine [7 ]
Oluyomi, Abiodun [1 ,2 ]
机构
[1] Baylor Coll Med, Dept Med, Sect Epidemiol & Populat Sci, Houston, TX USA
[2] Baylor Coll Med, Dan L Duncan Comprehens Canc Ctr, Houston, TX USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Behav Sci, Houston, TX USA
[4] Univ Texas Med Branch, Dept Obstet & Gynecol, Galveston, TX USA
[5] Christus Hlth, Texas A&M Sch Med, Dept Internal Med, Longview, TX USA
[6] Texas Womans Univ, Sch Hlth Promot & Kinesiol, Denton, TX USA
[7] Univ Texas MD Anderson Canc Ctr, Dept Hlth Dispar Res, Houston, TX USA
[8] Baylor Coll Med, Dept Med, Sect Epidemiol & Populat Sci, 1 Baylor Plaza,MS BCM307,Room 613D, Houston, TX 77030 USA
基金
美国国家卫生研究院;
关键词
SOCIOECONOMIC-STATUS; SPATIAL-ANALYSIS; BREAST-CANCER; DISPARITIES; WOMEN; JERSEY;
D O I
10.1001/jamanetworkopen.2023.43152
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ImportanceThere 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.ObjectiveTo identify geospatial clusters of late-stage cervical cancer at time of diagnosis in Texas.Design, Setting, and ParticipantsThis 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.ExposuresCensus tract of residence at diagnosis.Main Outcome and MeasuresLate-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.ResultsAmong 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 RelevanceIn 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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页数:12
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