Evidence map›Paper›PMID 37955896›Full record

ArticleJAMA network open2023

Geographic Variation in Late-Stage Cervical Cancer Diagnosis.

Itunu O Sokale, Aaron P Thrift, Jane Montealegre, Victor Adekanmbi, Onyema G Chido-Amajuoyi, Ann Amuta, Lorraine R Reitzel, Abiodun O Oluyomi

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Cervical Cancer Screening After Menopause.Healthcare (Basel, Switzerland) · 2025
    Article
  3. Antiproliferative Effect of Methanolic Extract ofMaterials (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Itunu O SokaleDepartment of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, Texas.
Aaron P ThriftDepartment of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, Texas.
Jane MontealegreDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston.
Victor AdekanmbiDepartment of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston.
Onyema G Chido-AmajuoyiDepartment of Internal Medicine, Texas A&M School of Medicine/Christus Health, Longview.
Ann AmutaSchool of Health Promotion and Kinesiology, Texas Woman's University, Denton.
Lorraine R ReitzelDepartment of Health Disparities Research, The University of Texas MD Anderson Cancer Center, Houston.
Abiodun O OluyomiDepartment of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, Texas.
Baylor College of Medicine · USThe University of Texas MD Anderson Cancer Center · USChristus Health · USTexas Woman's University · USThe University of Texas Medical Branch at Galveston · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
Translational Research Support CoreP30ES030285 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Cheryl L. Walker · 2019 to 2026
$14.7M
UTMB WOMEN'S HEALTH RESEARCH SCHOLARS PROGRAMK12HD052023 · NICHD · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI BERENSON, ABBEY B · 2005 to 2023
$8.1M
UTMB Women's Health Research Scholars ProgramK12AR084228 · NIAMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI ABBEY B BERENSON · 2023 to 2026
$2.7M
NCI NIH HHS P30 CA125123NIAMS NIH HHS K12 AR084228NICHD NIH HHS K12 HD052023NIEHS NIH HHS P30 ES030285
6 · The paper itself

Abstract

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.

Indexed as

Uterine Cervical NeoplasmsAdultCross-Sectional StudiesEthnicityFemaleGeography, MedicalHumansMiddle AgedRacial GroupsRegistriesTexas

Identifiers

PMID37955896
PMCPMC10644213
OpenAlexW4388627517

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.