Literature DB >> 10910307

Demographic predictors of melanoma stage at diagnosis.

D J Van Durme1, J M Ferrante, N Pal, D Wathington, R G Roetzheim, E C Gonzalez.   

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.

Entities:  

Mesh:

Year:  2000        PMID: 10910307     DOI: 10.1001/archfami.9.7.606

Source DB:  PubMed          Journal:  Arch Fam Med        ISSN: 1063-3987


  14 in total

1.  The expanding melanoma burden in California hispanics: Importance of socioeconomic distribution, histologic subtype, and anatomic location.

Authors:  Ricardo A Pollitt; Christina A Clarke; Susan M Swetter; David H Peng; John Zadnick; Myles Cockburn
Journal:  Cancer       Date:  2010-08-24       Impact factor: 6.860

2.  Brief questions highlight the need for melanoma information campaigns.

Authors:  Janet A Foote; Catherine M Poole
Journal:  J Cancer Educ       Date:  2013-12       Impact factor: 2.037

3.  Melanoma survival in the United States, 1992 to 2005.

Authors:  Lori A Pollack; Jun Li; Zahava Berkowitz; Hannah K Weir; Xiao-Cheng Wu; Umed A Ajani; Donatus U Ekwueme; Chunyu Li; Brian P Pollack
Journal:  J Am Acad Dermatol       Date:  2011-11       Impact factor: 11.527

4.  Skin cancer risk perceptions: a comparison across ethnicity, age, education, gender, and income.

Authors:  Kesha J Buster; Zhiying You; Mona Fouad; Craig Elmets
Journal:  J Am Acad Dermatol       Date:  2011-08-27       Impact factor: 11.527

5.  Impact of socioeconomic status and sociodemographic factors on melanoma presentation among ethnic minorities.

Authors:  Lindsay G Wich; Michelle W Ma; Leah S Price; Stanislav Sidash; Russell S Berman; Anna C Pavlick; George Miller; Umut Sarpel; Judith D Goldberg; Iman Osman
Journal:  J Community Health       Date:  2011-06

6.  Marital status and stage at diagnosis of cutaneous melanoma: results from the Surveillance Epidemiology and End Results (SEER) program, 1973-2006.

Authors:  John M McLaughlin; James L Fisher; Electra D Paskett
Journal:  Cancer       Date:  2010-11-10       Impact factor: 6.860

7.  Socioeconomic status and survival in older patients with melanoma.

Authors:  Carlos A Reyes-Ortiz; James S Goodwin; Jean L Freeman; Yong-Fang Kuo
Journal:  J Am Geriatr Soc       Date:  2006-11       Impact factor: 5.562

8.  California Medicaid enrollment and melanoma stage at diagnosis: a population-based study.

Authors:  Ricardo A Pollitt; Christina A Clarke; Sarah J Shema; Susan M Swetter
Journal:  Am J Prev Med       Date:  2008-05-14       Impact factor: 5.043

9.  Distance to diagnosing provider as a measure of access for patients with melanoma.

Authors:  Karyn B Stitzenberg; Nancy E Thomas; Kathleen Dalton; Sarah E Brier; David W Ollila; Marianne Berwick; Dianne Mattingly; Robert C Millikan
Journal:  Arch Dermatol       Date:  2007-08

10.  Disparities in diagnosis of advanced melanoma: a population-based cohort study.

Authors:  Meaghan E Mavor; Harriet Richardson; Qun Miao; Yuka Asai; Timothy P Hanna
Journal:  CMAJ Open       Date:  2018-10-31
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