Demographic Predictors of Melanoma Stage at Diagnosis
Abstract
OBJECTIVE: To examine sociodemographic characteristics as possible predictors of late-stage melanoma diagnosis. We hypothesized that late-stage diagnosis would be associated with the following: older age, male sex, unmarried status, lower educational attainment and income level, rural residence, and cigarette smoking. METHODS: We used data from the state tumor registry to study all incident cases of melanoma occurring in Florida during 1994 whose stage at diagnosis was available (N = 1884). We used multiple logistic regression to determine the effects of sociodemographic characteristics on the odds of late-stage (regional or distant metastases) diagnosis. RESULTS: There were 243 patients (12.9%) diagnosed as having melanoma that had metastasized to either regional lymph nodes or distant sites. Patients who were unmarried (odds ratio, 1.5; P= .01), male (odds ratio, 2.2; P<.001), or smokers (odds ratio, 2.2; P<.001) or who resided in communities with lower median educational attainment (odds ratio, 1.5; P= .048) had greater odds of having a late-stage diagnosis. CONCLUSIONS: To detect these cancers at an earlier stage and improve outcomes, there should be increased educational efforts directed toward physicians who treat these patients. A recognition that there may be additional risk factors for late-stage diagnosis, beyond the established risk factors, such as family history and excess sun exposure, should be included in the initial assessment. Specific public education efforts should also be targeted to these patients to increase their self-surveillance and surveillance of their partners.
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Numerous factors associated with a delayed diagnosis of melanoma are patient-related.
“Numerous factors associated with a delayed diagnosis are patient-related [4-12].”
From Use of Smartphones for Early Detection of Melanoma: Systematic Review (2018) · cites this paper as [5]
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- Authors
- Van Durme, D. J.
- Venue
- Archives of Family Medicine
- Publisher
- CLOCKSS Archive
- Published
- 2000-07-01
- Volume
- 9
- Issue
- 7
- Pages
- 606-611
- ISSN
- 1063-3987 (ISSN-L)
- OpenAlex
- W2144719697
- Cited by
- 60
- References
- 35
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 5 · 2017: 3 · 2016: 3 · 2014: 4 · 2013: 3 · 2012: 2
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Family Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
- Keywords
- melanoma, stage at diagnosis, delayed diagnosis, sociodemographic factors, marital status, sex differences, cigarette smoking, educational attainment, income, rural residence, metastasis, early detection, public health education
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Demography, Female, Humans, Male, Melanoma, Middle Aged, Neoplasm Staging, Skin Neoplasms, Socioeconomic Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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