Literature DB >> 24500502

Individual and ecological factors associated with early detection of nodular melanoma in the United States.

Jacqueline F Moreau1, Martin A Weinstock, Alan C Geller, Daniel G Winger, Laura K Ferris.   

Abstract

The aim of the study was to identify individual and ecological factors associated with early diagnosis of nodular melanoma (NM). Using cross-sectional, prospective data from 18 Surveillance, Epidemiology, and End Results registries, we performed multiple logistic regression to generate odds of thick (>4 mm) versus thin (≤2 mm) NM using patient-level demographics and tumor characteristics as well as county-level socioeconomic status, healthcare access, and preventive service use as predictors. We identified 10 475 patients with NM. Divorced, separated, and widowed individuals had increased odds of thick versus thin NM compared with married individuals [odds ratio (OR): 1.47, P<0.001], as did never married individuals (OR: 1.63, P<0.001). Individuals who lived in areas with high (≥4/100 000) dermatologist density had decreased odds of thick versus thin NM (OR: 0.75, P=0.02). Women aged 18-65 years who lived in areas with high Papanicolaou test use and women aged 40 years and older who lived in areas with high mammography use had decreased odds of thick versus thin NM (OR: 0.60, P<0.001 and OR: 0.68, P<0.001, respectively). High school completion, median income, insurance status, family medicine physician density, and internist density in one's area of residence were not associated with odds of thick versus thin NM. In contrast to other types of melanoma, NM thickness at diagnosis is not associated with the socioeconomic environment in one's area of residence. Instead, it is related to factors associated with incidental or formal detection. This information should be used to better target melanoma education and early detection programs.

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Year:  2014        PMID: 24500502     DOI: 10.1097/CMR.0000000000000049

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  6 in total

1.  The role of spatially-derived access-to-care characteristics in melanoma prevention and control in Los Angeles county.

Authors:  Loraine A Escobedo; Ashley Crew; Ariana Eginli; David Peng; Michael R Cousineau; Myles Cockburn
Journal:  Health Place       Date:  2017-04-06       Impact factor: 4.078

2.  Association of Skin Examination Behaviors and Thinner Nodular vs Superficial Spreading Melanoma at Diagnosis.

Authors:  Clio Dessinioti; Alan C Geller; Aravella Stergiopoulou; Susan M Swetter; Eszter Baltas; Jonathan E Mayer; Timothy M Johnson; John Talaganis; Myrto Trakatelli; Dimitrios Tsoutsos; Gerasimos Tsourouflis; Alexander J Stratigos
Journal:  JAMA Dermatol       Date:  2018-05-01       Impact factor: 10.282

3.  Melanoma: clinical, evolutive and histopathological characteristics of a series of 136 cases.

Authors:  Juliana Polizel Ocanha-Xavier; José Cândido Caldeira Xavier-Junior; Mariângela Esther Alencar Marques
Journal:  An Bras Dermatol       Date:  2018-06       Impact factor: 1.896

4.  A nomogram for predicting survival in patients with nodular melanoma: A population-based study.

Authors:  Jin Yang; Zhenyu Pan; Fanfan Zhao; Xiaojie Feng; Qingqing Liu; Yuanjie Li; Jun Lyu
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

5.  Patient-identified early clinical warning signs of nodular melanoma: a qualitative study.

Authors:  Susan M Swetter; Alan C Geller; Adina Coroiu; Chelsea Moran; Jessica A Davine; Kyla Brophy; Catherine Bergeron; Hensin Tsao; Annett Körner
Journal:  BMC Cancer       Date:  2021-04-07       Impact factor: 4.430

6.  Incidence and Mortality of Malignant Melanoma in Relation to Dermatologist Density in Bavaria.

Authors:  Sebastian Haferkamp; Christian Apfelbacher; Konstantin Drexler; Hans Drexler; Edward K Geissler; Mark Berneburg
Journal:  Adv Ther       Date:  2021-10-01       Impact factor: 3.845

  6 in total

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