Evidence map›Paper›PMID 40315814›Full record

ArticleJMIR cancer2025

Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study.

Kehe Zhang, Madison M Taylor, Jocelyn Hunyadi, Hung Q Doan, Adewole S Adamson, Paige Miller, Kelly C Nelson, Cici Bauer

Abstract read
In one paragraph

Article in JMIR cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Cancer Burden in Persistent Poverty Areas across the Cancer Continuum: A Scoping Review to Identify Gaps and Opportunities for Future Research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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.

Kehe Zhang *Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, E819, 1200 Pressler St., Houston, TX, 77030, United States, 1 7135009581.ORCID 0000-0001-8013-265X
Madison M Taylor *John P. and Kathrine G. McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0009-0002-9493-2468
Jocelyn HunyadiDepartment of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, E819, 1200 Pressler St., Houston, TX, 77030, United States, 1 7135009581.ORCID 0000-0002-1503-9640
Hung Q DoanDepartment of Dermatology, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.ORCID 0000-0002-4715-0562
Adewole S AdamsonDivision of Dermatology, Dell Medical School, The University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-1493-1776
Paige MillerCancer Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, TX, United States.ORCID 0009-0007-2327-5823
Kelly C NelsonDepartment of Dermatology, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.ORCID 0000-0002-5042-7366
Cici BauerDepartment of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, E819, 1200 Pressler St., Houston, TX, 77030, United States, 1 7135009581.ORCID 0000-0002-2337-7965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Melanoma currently ranks as the fifth leading cancer diagnosis and is projected to become the second most common cancer in the United States by 2040. Melanoma detected at earlier stages may be treated with less-risky and less-costly therapeutic options. Objective: This study aims to analyze temporal and spatial trends in melanoma incidence by stage at diagnosis (overall, early, and late) in Texas from 2000 to 2018, focusing on demographic and geographic variations to identify high-risk populations and regions for targeted prevention efforts. Methods: We used melanoma incidence data from all 254 Texas counties from the Texas Cancer Registry (TCR) from 2000 to 2018, aggregated by county and year. Among these, 250 counties reported melanoma cases during the period. Counties with no cases reported in a certain year were treated as having no cases. Melanoma cases were classified by SEER Summary Stage and stratified by the following four key covariates: age, sex, race and ethnicity, and stage at diagnosis. Incidence rates (IRs) were calculated per 100,000 population, and temporal trends were analyzed using joinpoint regression to determine average annual percentage changes (AAPCs) with 95% CIs for the whole time period (2000-2018), the most recent 10-year period (2009-2018), and the most recent 5-year period (2014-2018). Heat map visualizations were developed to assess temporal trends by patient age, year of diagnosis, stage at diagnosis, sex, and race and ethnicity. Spatial cluster analysis was conducted using Getis-Ord Gi* statistics to identify county-level geographic clusters of high and low melanoma incidence by stage at diagnosis. Results: A total of 82,462 melanoma cases were recorded, of which 74.7% (n=61,588) were early stage, 11.3% (n=9,352) were late stage, and 14% (n=11,522) were of unknown stage. Most cases were identified as males and non-Hispanic White individuals. Melanoma IRs increased from 2000 to 2018, particularly among older adults (60+ years; AAPC range 1.20%-1.84%; all P values were <.001), males (AAPC 1.59%; P<.001), and non-Hispanic White individuals (AAPC of 3.24% for early stage and 2.38% for late stage; P<.001 for early stage and P = .03 for late state). Early-stage diagnoses increased while the rates of late-stage diagnoses remained stable for the overall population. The spatial analysis showed that urban areas had higher early-stage incidence rates (P=.06), whereas rural areas showed higher late-stage incidence rates (P=.05), indicating possible geographic-based differences in access to dermatologic care. Conclusions: Melanoma incidence in Texas increased over the study time period, with the most-at-risk populations being non-Hispanic White individuals, males, and individuals aged 50 years and older. The stable rates of late-stage melanoma among racial and ethnic minority populations and rural populations highlight potential differences in access to diagnostic care. Future prevention efforts may benefit from increasing access to dermatologic care in areas with higher rates of late-stage melanoma at diagnosis.

Indexed as

MelanomaSkin NeoplasmsAdolescentAdultAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedRegistriesRetrospective StudiesSEER ProgramTexasYoung Adultdemographic variationgeographic disparitygeospatial analysisjoinpoint regressionmelanoma incidencemelanoma screeningstage at diagnosistemporal trend analysis

Identifiers

PMID40315814
PMCPMC12064134

What OpenQuestion holds

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Registered trials

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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.