Marital Status and Survival in Patients Diagnosed with Melanoma.
1. BackgroundMelanoma is the sixth most common cancer in the United States (US) as well as the most life-threatening form of skin cancer [1]. Despite improved case mortality in the US, overall deaths due to melanoma have increased because of an increase in melanoma incidence [2]. The annual burden of invasive melanoma in the US from 2004 to 2006 was found to include over 45,000 invasive melanomas diagnosed annually, corresponding to a rate of 19 cases per 100,000 persons and resulting in 8,246 deaths [3]. However, only ten years later, the American Cancer Society estimated 76,380 new invasive melanoma diagnoses and 10,130 invasive melanoma deaths in the US in 2016 [1]. Additionally, the average annual treatment costs for melanoma from 2007 to 2011 were $3.3 billion [4].
Prevention and early detection have been shown to have substantially protective effects in curtailing melanoma cancer burden among patients [5, 6]. More recently, the presence of a spouse has been described as a factor that could considerably affect skin cancer prevention as it has been linked to detection of melanoma at an earlier stage [5, 7, 8] and decreased melanoma thickness at diagnosis [9, 10]. Having a partner has also been linked to better access to healthcare and social support [5,11]. While married patients in the US were found to have significantly lower risk of undertreatment, presentation with metastatic cancer, and death when diagnosed with other common types of cancers, specific information on melanoma is lacking [12].
Florida has the second highest incidence and overall melanoma cancer burden in the US [13, 14]. Moreover, the State of Florida is unique in its demographic and cultural characteristics; for example, 24.5% of the Florida population is comprised of Hispanics or Latinos [15]. Findings regarding marital status and melanoma in Florida might provide internationally generalizable insight into the medical-social relationship of patients suffering from melanoma. As such, we aim to assess the association between marital status and survival in melanoma patients registered in the Florida Cancer Data System from 2001 to 2009.
2. Methods
2.1. Study Setting. We conducted secondary analysis of data collected from the Florida Cancer Data System (FCDS), a population-based, statewide cancer registry [13]. Briefly, the FCDS is primarily a hospital-based reporting system that collects information on incident cancer cases in Florida. All health-care facilities licensed under Florida statute 395, freestanding radiation therapy centers, ambulatory surgical centers, licensed medical practitioners, and/or any laboratories are required to report cancer cases to the FCDS.
2.2. Study Participants. We analyzed data from all adult patients, as recorded in the FCDS, which reported an ICD-O-3 code of melanoma (International Classification of Diseases for Oncology, Third Edition (ICD-O-3), codes C440-C449, types 8720-8780) diagnosed from 2001 to 2009. Patient follow-up information was available from the FCDS until the year 2015. Survival status is based on information from the State of Florida Bureau of Vital Statistics.
2.3. Main Variables. The independent variable was marital status at the time of diagnosis (categorized as married, single, divorced, or widowed) as reported to the FCDS. Patients with unknown (N = 5660) and separated (N = 220) marital status were excluded. The main dependent variable was survival interval after melanoma diagnosis. Survival time was obtained by measuring the interval between the time of cancer diagnosis and the time of death or last recorded contact. The event (death) was considered present if death occurred at the end of follow-up time. Patients were considered free of event at the end of follow-up in 2015 or if they were alive at the time last seen (administratively censored). Confounding variables assessed included patient's age, sex, health insurance status, race, ethnicity, geographical area, tobacco use, tumor histology, cancer stage at time of diagnosis, and anatomical tumor site. Cancer stage at diagnosis was categorized using the available SEER staging system: in situ, localized, regional by direct extension, regional lymph nodes, and distant. SEER stage in situ corresponds to AJCC stage 0, SEER stage localized corresponds to AJCC stages I and II, SEER stages regional by direct extension and regional lymph nodes correspond to AJCC stage III, and SEER stage distant corresponds to AJCC stage IV. SEER stages in situ and localized (corresponding to AJCC stages 0, I, and II) were grouped together as the early stage; SEER stages regional by direct extension, regional lymph nodes, and distant (corresponding to AJCC stages III and IV) were grouped together as the late stage. Less than 10% of data were missing for each variable except for tobacco use.
2.4. Analytical Plan. Description of the study participants and assessment of patterns of missing data and outliers were performed. Subsequently, identification of potential confounders to be accounted for in the multivariable models was performed through bivariate analysis using survival status at the end of follow-up (dead or alive) as the outcome. Survival probabilities were calculated and presented using the Kaplan-Meier methods, and statistical significance was assessed using the log-rank test. Lastly, different multivariate Cox proportional hazard regression models were tested to assess independent associations between marital status and survival time. SPSS v.20 software [16] was used for all analysis, and statistical significance was considered for p values below 0.01 for a 2-tailed test. Revision by The Florida International University Institutional Review Board considered the study to be nonhuman subject research.
3. Results
In total, 36,578 patients were included in the study. The average age of participants was 62.5 years at diagnosis (standard deviation (SD) = 16.2) (Table 1). A total of 25,438 patients were married (69%). Most melanoma patients were white (99%), non-Hispanic (97%), and male (59%). Of the patients with staging information available, most patients were diagnosed at an early stage (88%). Only about 25% had the diagnosis of one of the main histologic subtypes of melanoma (superficial spreading, nodular, lentigo maligna, and acral lentiginous); most of the remaining cases had unclear histology as they were diagnosed as melanoma, not otherwise specified. The characteristics of the participants varied according to the marital status (Table 1). Widows were older than married and divorced patients, while single patients were younger. A larger percentage of married individuals (64%) were male, while fewer widowed patients (33%) tended to be male. Both widowed and married individuals were more likely to be insured, while single individuals were less likely to have insurance. Marital status distribution also varied according to geographic area of residency, the Northwest, Northeast, and North Central areas of Florida had a larger percentage of divorced individuals, while the Central West and Southeast areas of Florida had a higher proportion of single patients. Central and Southwest Florida were most commonly comprised of married patients, whereas widowed individuals narrowly surpassed divorced individuals in the Central East region. Divorced and widowed patients were more likely to be current and former tobacco users, respectively, whereas single patients were less likely to be former users. Widowed patients were more likely to be diagnosed with lentigo malignant melanoma, while a larger percentage of single patients were diagnosed with superficial spreading melanoma and nodular melanoma. The percentage of patients diagnosed at an early stage was higher for married and lower for single patients.
The demographic characteristics associated with an increased proportion of deceased patients in this sample were older age, widowed marital status, male sex, African-American race, Hispanic ethnicity, former tobacco use, and Central East Florida geographical location (Table 2). Melanoma-related characteristics including nodular melanoma type, later stage at diagnosis, and melanoma originating on the skin of the scalp or neck were also associated with an increased proportion of deceased patients (Table 2).
The median survival time (and 95% CI) for married, divorced, single, and widowed patients was 111 (108-114), 100 (92-108), 93 (86-100), and 59 (56-62) months, respectively (log-rank test P < 0.001). Figure 1 shows the curves for the unadjusted (Figure 1(a)) and adjusted (Figure 1(b)) Mantel-Cox survival analysis in months after diagnosis amongst single (solid), married (dashed), divorced (dashed and dotted), and widowed (dotted) patients. After adjusting for age at diagnosis, sex, insurance status, race, ethnicity, tobacco use, histology, staging, primary site, and geographic area, married patients were more likely to survive (HR = 0.65; 99% CI 0.57 to 0.74; P < 0.001) than single patients (Table 3, Figure 1). Other characteristics independently associated with lower survival were age (for every year after diagnosis, the hazard of dying increased by 5% HR = 1.05; 99% CI 1.04 to 1.05; P < 0.001), male sex, black race, Hispanic ethnicity, Northwest Florida geographic area, former or current tobacco use, and nonsuperficial melanoma subtype. Additionally, late staging increased the risk of death by over 300% compared with early stages. Finally, the presence of melanoma on the lower limb and hip was associated with significantly reduced risk of mortality.
Results were robust after further adjustment for histologic subtype. Results were more significant for all marital status groups when controlling for five factor 2000 SEER staging, so dichotomizing the staging as an early (in situ and localized) and late (regional by direct extension, regional lymph nodes, and distant) stage is conservative to the results. Lastly, stratified analysis and test for interaction comparing regression models with or without interaction terms suggested no evidence for effect of modification by gender in the association between marital status and melanoma survival (P value for overall interaction = 0.189); thus, results for both genders were presented combined.
4. Discussion
Our findings suggest that married individuals diagnosed with melanoma have a 35% lower risk of death than single individuals. Those who were divorced or widowed did not have a statistically different risk of death than those who were single after adjusting for confounders.
Previous studies have shown an association between marital status and stage of diagnosis and also found health benefits associated with marriage. For instance, a retrospective cohort study of 734,889 patients using the Surveillance, Epidemiology, and End Results Program (SEER) registries from 2004 through 2008 for various types of cancer (melanoma excluded) found married patients were 17% less likely to present with metastatic disease, had 53% higher odds of receiving a definitive therapy, and were 20% less likely to die as a result of their cancer than unmarried patients [12]. Our study has been built upon previous studies by showing a significant association between marital status and improved survival in melanoma patients after controlling for tumor stage at diagnosis. Therefore, it is possible that earlier detection does not fully explain improved survival in married patients. Other factors such as social support may also play a role in survival, as suggested by others [17].
Our results fail to find evidence for an effect modification by gender. This contrasts with previous studies that reported that married men enjoyed an improved survival, but that married women did not [5,8, 18]. Married women, like married men, experience increased social support relative to their nonmarried counterparts, and so observing an increased survival in both sexes makes sense. The reasons for the discrepancy between our study and prior studies are unclear, but the difference may be related to cultural differences in the unique population of Florida. Additionally, there is some evidence that increased social support and feelings of wellbeing may bolster patients' immune systems [19] against melanoma, a very immunogenic malignancy [20].
We incidentally found that selected geographic areas in Florida had significantly decreased death rates compared with the Northwest Florida. Potential explanations for these findings might relate to differences in the availability of both family physicians and dermatologists and higher melanoma mortality in geographic locations with lower availability of physicians as previously reported [21]. Lastly, we found a significantly higher survival in people that developed melanoma in the primary sites of the lower limb and hip relative to the face. This incidental finding is yet to be confirmed and calls for further investigation.
Selected limitations require consideration when interpreting these findings. We were unable to control for factors previously described to affect survival in melanoma patients such as patient comorbidities, individual-level socioeconomic status, education level, and body mass index [8, 22]. Married individuals have previously shown to have higher BMI and higher levels of comorbidities compared with single individuals [23,24]. Thus, lack of adjustment for these factors is likely to underestimate the association between married patients and survival. However, residual confounding through variables such as socioeconomic status is very likely and may overestimate the association. Therefore, it is not possible to determine the direction or magnitude of uncontrolled confounders' impact on the true association. Also, marital status was assessed at the time of diagnosis, thus change in marital status during the follow-up was not accounted for. Yet, evidence from previous studies regarding cancer survival fail to find an association between diagnosis of cancer and divorce rate [25]. In addition, we believe that, in our study sample, changes in marital status following a cancer diagnosis is most likely from married to divorced or widowed, rather than from nonmarried to married. In this scenario, our findings most likely represent an underestimation of the survival advantage for married patients compared with single patients. The present study was limited because cause of death was not available in the FCDS, so cause specific mortality could not be established. Although overall survival remains a robust measure of mortality, overall survival also leaves an opportunity for confounding variables to affect the outcome of death through alternative pathways. Finally, we cannot exclude the possibility that our findings are due to lead time bias, where earlier detection of melanoma occurred in married people while having no improvement of survival.
Other notable limitations involving the data include staging and histology. Ideally, melanoma staging data would include precise American Joint Committee on Cancer (AJCC) staging and Breslow depth; however, available staging information was limited to SEER staging. Nonetheless, our findings were robust after controlling for available stage at diagnosis. The majority of the patients in the data had their histological subtype listed as melanoma, not otherwise specified. Therefore, since precise information on melanoma histological subtype was unavailable for a relatively large percentage of the data, histology as a known confounding variable could not be fully controlled.
5. Conclusions
The present study is one of the largest and most comprehensive studies of patients with malignant melanomas reported in the state of Florida; it has an average follow-up of 10 years and it accounts for various patient demographics and melanoma characteristics. We found evidence that married patients, both men and women, are more likely to survive after a diagnosis of melanoma compared with single patients. Future studies that assess the potential mechanisms by which marriage confers survival advantages to melanoma patients are warranted as they might guide development of interventions aimed at improving survival in single patients who are diagnosed with melanoma.
Abbreviations FCDS: Florida Cancer Data System SEER: Surveillance, epidemiology, and end results program AJCC: American Joint Committee on Cancer CI: Confidence interval HR: Hazard ratio SD: Standard deviation SPSS: Statistical package for the social sciences US: United States.
https://doi.org/10.1155/2020/2485401
Data Availability
The datasets generated and/or analyzed during the current study are available in the Florida Cancer Data System (FCDS) [13] repository upon request, http://www.floridahealth.gov/ diseases-and-conditions/cancer/cancer-registry/index.html.
Ethical Approval
FIU IRB reviewed the study protocol and considered the study to be nonhuman subject research.
Disclosure
An earlier version of the manuscript is presented as a poster at the AMA Research Symposium in Atlanta in 2015 and in Orlando in 2016 as well as at the FMA Poster Symposium in Orlando in 2016.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Authors' Contributions
All authors listed have contributed sufficiently to the project to be included as authors, and all those who are qualified to be authors are listed in the author byline. According to the International Committee of Medical Journal Editors (ICMJE) authorship criteria [26], all authors contributed to "Drafting the work or revising it critically for important intellectual content; AND Final approval of the version to be published; AND Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved." Furthermore, individual authors made substantial contributions as follows: JAM, AJM, and ELD were involved in conception and design of the work and the analysis and interpretation of data for the work; GC and PRdLV were involved in acquisition, analysis, and interpretation of data for the work; and MV was responsible for conception and design of the work and acquisition, analysis, and interpretation of data for the work.
References
[1] American Cancer Society, "Key statistics for melanoma skin cancer," 2016, https://www.cancer.org/cancer/melanomaskin-cancer/about/key-statistics.html.
[2] S. C. Azoury and J. R. Lange, "Epidemiology, risk factors, prevention, and early detection of melanoma," Surgical Clinics of North America, vol. 94, no. 5, pp. 945-962, 2014.
[3] M. Watson, C. J. Johnson, V. W. Chen et al., "Melanoma surveillance in the United States: overview of methods," Journal of the American Academy of Dermatology, vol. 65, no. 5, pp. S6.e1-S6.e12, 2011.
[4] G. P. Guy Jr., S. R. Machlin, D. U. Ekwueme, and K. R. Yabroff, "Prevalence and costs of skin cancer treatment in the U.S., 2002-2006 and 2007-2011," American Journal of Preventive Medicine, vol. 48, no. 2, pp. 183-187, 2015.
[5] J. M. McLaughlin, J. L. Fisher, and E. D. Paskett, "Marital status and stage at diagnosis of cutaneous melanoma: results from the surveillance epidemiology and end results (SEER) program, 1973-2006," Cancer, vol. 117, no. 9, pp. 1984-1993, 2011.
[6] C. G. Watts, M. Dieng, R. L. Morton, G. J. Mann, S. W. Menzies, and A. E. Cust, "Clinical practice guidelines for identification, screening and follow-up of individuals at high risk of primary cutaneous melanoma: a systematic review," British Journal of Dermatology, vol. 172, no. 1, pp. 33-47, 2015.
[7] J. A. Talaganis, K. Biello, M. Plaka et al., "Demographic, behavioural and physician-related determinants of early melanoma detection in a low-incidence population," British Journal of Dermatology, vol. 171, no. 4, pp. 832-838, 2014.
[8] C. A. Reyes Ortiz, J. L. Freeman, Y.-F. Kuo, and J. S. Goodwin, "The influence of marital status on stage at diagnosis and survival of older persons with melanoma," The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, vol. 62, no. 8, pp. 892-898, 2007.
[9] F. Grange, C. Barbe, F. Aubin et al., "Clinical and sociodemographic characteristics associated with thick melanomas," Archives of Dermatology, vol. 148, no. 12, pp. 1370-1376, 2012.
[10] P. H. Youl, P. D. Baade, S. Parekh, D. English, M. Elwood, and J. F. Aitken, "Association between melanoma thickness, clinical skin examination and socioeconomic status: results of a large population-based study," International Journal of Cancer, vol. 128, no. 9, pp. 2158-2165, 2011.
[11] J. M. Nagata, I. Hernandez-Ramos, A. S. Kurup, D. Albrecht, C. Vivas-Torrealba, and C. Franco-Paredes, "Social determinants ofhealth and seasonal influenza vaccination in adults >/=65 years: a systematic review of qualitative and quantitative data," BMC Public Health, vol. 13, no. 1, p. 388, 2013.
[12] A. A. Aizer, M.-H. Chen, E. P. McCarthy et al., "Marital status and survival in patients with cancer," Journal of Clinical Oncology, vol. 31, no. 31, pp. 3869-3876, 2013.
[13] Florida Department of Health, "Florida cancer registry," 2017, http://www.floridahealth.gov/diseases-and-conditions/cancer/ cancer-registry/index.html.
[14] C. A. Fernandez, L. A. McClure, W. G. LeBlanc et al., "A comparison of Florida skin cancer screening rates with those in the rest of the United States," Archives of Dermatology, vol. 148, no. 3, pp. 393-395, 2012.
[15] U.S. Census Bureau, "Population estimates program (PEP)," 2017, https://www.census.gov/quickfacts/table/RHI705210/12.
[16] IBM Corporation, "IBM SPSS statistics for windows," 2011.
[17] M. E. Falagas, E. A. Zarkadoulia, E. N. Ioannidou, G. Peppas, C. Christodoulou, and P. I. Rafailidis, "The effect of psychosocial factors on breast cancer outcome: a systematic review," Breast Cancer Research, vol. 9, no. 4, p. R44, 2007.
[18] H. Eriksson, J. Lyth, E. Mansson-Brahme et al., "Later stage at diagnosis and worse survival in cutaneous malignant melanoma among men living alone: a nationwide populationbased study from Sweden," Journal of Clinical Oncology, vol. 32, no. 13, pp. 1356-1364, 2014.
[19] S. Salim, "Oxidative stress: a potential link between emotional wellbeing and immune response," Current Opinion in Pharmacology, vol. 29, pp. 70-76, 2016.
[20] B. Mukherji, "Immunology of melanoma," Clinics in Dermatology, vol. 31, no. 2, pp. 156-165, 2013.
[21] D. J. Van Durme, R. Ullman, R. J. Campbell, and R. Roetzheim, "Effects of physician supply on melanoma incidence and mortality in Florida," Southern Medical Journal, vol. 96, no. 7, pp. 656-660, 2003.
[22] A. J. Jiang, P. V. Rambhatla, and M. J. Eide, "Socioeconomic and lifestyle factors and melanoma: a systematic review," British Journal of Dermatology, vol. 172, no. 4, pp. 885-915, 2015.
[23] H. Choi and N. F. Marks, "Socioeconomic status, marital status continuity and change, marital conflict, and mortality," Journal of Aging and Health, vol. 23, no. 4, pp. 714-742, 2011.
[24] J. Sundquist and S.-E. Johansson, "The influence of socioeconomic status, ethnicity and lifestyle on body mass index in a longitudinal study," International Journal of Epidemiology, vol. 27, no. 1, pp. 57-63, 1998.
[25] M. J. Glantz, M. C. Chamberlain, Q. Liu et al., "Gender disparity in the rate of partner abandonment in patients with serious medical illness," Cancer, vol. 115, no. 22, pp. 5237-5242, 2009.
[26] International Committee of Medical Journal, "Defining the role of authors and contributors," 2017, http://www.icmje. org/recommendations/browse/roles-and-responsibilities/ defining-the-role-of-authors-and-contributors.html.
J. A. Maas [ID], (1,2) A. J. Monreal, (2) E. L. Diaz, (2) G. Castro, (2) P. Rodriguez de la Vega, (2) and M. Varella (2)
(1) Hazelrig-Salter Radiation Oncology Center, University of Alabama at Birmingham, Department of Radiation Oncology, 1719 6th Avenue South, Birmingham, AL 35294, USA
(2) Herbert Wertheim College of Medicine, Florida International University, Department of Medical and Population Health Sciences Research, Modesto A. Maidique Campus (MMC), 11200 S.W. 8th Street, Office # AHC1-340, Miami, FL 33199, USA
Correspondence should be addressed to J. A. Maas; jaredamaas@gmail.com
Received 2 November 2019; Accepted 6 January 2020; Published 30 January 2020
Academic Editor: Jean Kanitakis
Caption: Figure 1: Mantel-Cox survival analysis for Florida melanoma patients between 2001 and 2009 by marital status: single (solid line), married (dashed line), divorced (dashed and dotted line), and widowed (dotted line) patients. (a) The unadjusted cumulative survival in months after diagnosis. (b) Comparison of the adjusted cumulative survival in months after diagnosis. The curves are adjusted for age at diagnosis, sex, insurance status, race, ethnicity, tobacco use, tumor histology, tumor staging, primary site, and geographic area.
Table 1: Characteristics of Florida melanoma patients between 2001 and 2009 by marital status. Marital status Total Single N = 36,578 N = 5,037 (100%) (13.8%) Age at Mean (SD) 62.5 (16.2) 51.0 (19.2) diagnosis * Sex Male 58.7 57.1 Female 41.3 42.9 Insurance status No insurance 3.4 8.9 Insurance 96.6 91.1 White 98.9 98.3 Race Black 0.6 0.8 Other 0.5 0.9 Ethnicity Non-Hispanic 96.6 95.8 Hispanic 3.4 4.2 Geographic area Northwest 4.9 4.8 Northeast 6.5 6.0 North central 3.6 3.8 Central west 20.9 22.7 Central 18 15.0 Central east 10 8.6 Southeast 27.7 32.4 Southwest 8.5 6.7 Tobacco use Never 61.8 63.3 Current 13.6 21.2 Former 24.6 15.5 Histology Acral lentiginous 0.8 0.8 Lentigo maligna 6.5 4.1 Superficial 12.1 13.6 spreading Nodular melanoma 5.3 6.9 Other 75.3 74.6 Staging Early 88.5 84.3 Late 11.5 15.7 Primary site Face 15.0 11.7 External ear 3.1 2.5 Scalp and neck 7.9 7.5 Trunk 31.5 35.2 Upper limb and 25.9 24.8 shoulder Lower limb and hip 16.7 18.4 Marital status Married Divorced N = 25,438 N = 2,443 (69.5%) (6.7%) Age at Mean (SD) 62.9 (14.5) 59.0 (13.1) diagnosis * Sex Male 64.0 45.4 Female 36.0 54.6 Insurance status No insurance 2.4 6.4 Insurance 97.6 93.6 White 99.1 99.2 Race Black 0.5 0.5 Other 0.4 0.3 Ethnicity Non-Hispanic 96.9 95.0 Hispanic 3.1 5.0 Geographic area Northwest 4.9 5.8 Northeast 6.6 7.2 North central 3.6 4.6 Central west 20.5 20.1 Central 19.3 15.5 Central east 10.0 11.0 Southeast 26.0 29.5 Southwest 9.2 6.3 Tobacco use Never 61.9 54.6 Current 11.8 22.9 Former 26.3 22.5 Histology Acral lentiginous 0.7 0.9 Lentigo maligna 6.6 5.6 Superficial 12.3 12.0 spreading Nodular melanoma 4.9 5.7 Other 75.6 75.7 Staging Early 89.9 85.0 Late 10.1 15.0 Primary site Face 15.0 12.0 External ear 3.3 2.3 Scalp and neck 8.3 5.8 Trunk 32.0 33.2 Upper limb and 25.8 27.6 shoulder Lower limb and hip 15.6 19.2 Marital status Widowed N = 3,660 (10.0%) P value Age at Mean (SD) 78.0 (9.9) <0.001 diagnosis * Sex Male 32.7 <0.001 Female 67.3 Insurance status No insurance 1.3 <0.001 Insurance 98.7 White 99.0 <0.001 Race Black 0.8 Other 0.2 Ethnicity Non-Hispanic 96.9 <0.001 Hispanic 3.1 Geographic area Northwest 3.9 <0.001 Northeast 5.5 North central 3.1 Central west 21.8 Central 14.7 Central east 11.1 Southeast 31.8 Southwest 8.2 Tobacco use Never 63.6 <0.001 Current 9.3 Former 27.1 Histology Acral lentiginous 1.1 <0.001 Lentigo maligna 9.3 Superficial 9.2 spreading Nodular melanoma 6.0 Other 74.4 Staging Early 86.0 <0.001 Late 14.0 Primary site Face 21.2 <0.001 External ear 3.3 Scalp and neck 6.9 Trunk 21.7 Upper limb and 27.0 shoulder Lower limb and hip 19.9 SD = standard deviation; results are presented as % using the survey design unless otherwise specified. * ANOVA; all others, chi/square test. The races grouped under "others" consist of Micronesian, Chamorro/Chamoru, American Indian, Aleutia, Alaskan Native or Eskimo (includes all indigenous populations of the Western hemisphere), Chinese, Polynesian, Japanese, Tahitian, Filipino, Samoan, Hawaiian, Tongan, Korean, Melanesian, Vietnamese, New Guinean, Laotian, other Asian, including Asian, not otherwise specified, Hmong, Pacific Islander, Kampuchean, Thai, Asian Indian or Pakistani, Asian Indian, Pakistani, Guamanian, Fiji Islanders, and Oriental, not otherwise specified, as well as unknown races. The histological categories grouped under "others" consist of Malignant Melanoma NOS, Balloon Cell Melanoma, Regressing Melanoma, Meningeal Melanomatosis, Amelanotic Melanoma, Melan Junction Nevus, Melan in Precanc Melanoma, Desmoplastic Melanoma, Mucosal Lentiginous Melan, Melan Giant Pig Nevus, Epithelioid/Spindle Cell Melan, Epithel Cell Melanoma, Spindle Cell Melanoma NOS, Spindle Cell Melanoma type A, Spindle Cell Melanoma type B, and Blue Nevus Malignant. Table 2: Characteristics of Florida melanoma patients between 2001 and 2009 by vital status at last contact. Vital status Dead N = 9,384 (25.7%) Age at diagnosis Mean (SD) 71.57 (14.2) Marital status Single 23.3 (never married) Married 23.3 Divorced 26.2 Widowed 45.2 Sex Male 30.3 Female 19.1 Insurance status No insurance 24.8 Insurance 25.2 Race White 26.0 Black 36.7 Other 16.9 Ethnicity Non-Hispanic 25.8 Hispanic 29.4 Geographic area Northwest 25.8 Northeast 26.2 North central 21.7 Central west 26.1 Central 22.4 Central east 29.1 Southeast 26.3 Southwest 26.3 Tobacco use Never 22.6 Current 29.9 Former 35.2 Histology Acral lentiginous 33.7 Lentigo maligna 24.4 Superficial 15.7 spreading Nodular melanoma 43.6 Other 26.0 Staging Early 18.9 Late 61.1 Primary site Face 28.2 External ear 29.9 Scalp and neck 32.1 Trunk 21.3 Upper limb and 21.9 shoulder Lower limb and hip 19.2 Vital status Alive N = 27,194 (74.3%) P value Age at diagnosis Mean (SD) 59.4 (15.6) <0.001 Marital status Single 76.7 <0.001 (never married) Married 76.7 Divorced 73.8 Widowed 54.8 Sex Male 69.7 <0.001 Female 80.9 Insurance status No insurance 75.2 0.786 Insurance 74.8 Race White 74.0 <0.001 Black 63.3 Other 83.1 Ethnicity Non-Hispanic 74.2 0.006 Hispanic 70.6 Geographic area Northwest 74.2 <0.001 Northeast 73.8 North central 78.3 Central west 73.9 Central 77.6 Central east 70.9 Southeast 73.7 Southwest 73.7 Tobacco use Never 77.4 <0.001 Current 70.1 Former 64.8 Histology Acral lentiginous 66.3 <0.001 Lentigo maligna 75.6 Superficial 84.3 spreading Nodular melanoma 56.4 Other 74.0 Staging Early 81.1 <0.001 Late 38.9 Primary site Face 71.8 <0.001 External ear 70.1 Scalp and neck 67.9 Trunk 78.7 Upper limb and 78.1 shoulder Lower limb and hip 80.8 SD = standard deviation. Results are presented as % using survey design unless otherwise specified. The races grouped under "others" consist of Micronesian, Chamorro/Chamoru, American Indian, Aleutia, Alaskan Native or Eskimo (includes all indigenous populations of the Western hemisphere), Chinese, Polynesian, Japanese, Tahitian, Filipino, Samoan, Hawaiian, Tongan, Korean, Melanesian, Vietnamese, New Guinean, Laotian, Other Asian, including Asian, not otherwise specified, Hmong, Pacific Islander, Kampuchean, Thai, Asian Indian or Pakistani, Asian Indian, Pakistani, Guamanian, Fiji Islanders, and Oriental, not otherwise specified, as well as unknown races. Histological categories grouped under "others" consist of Malignant MelanomaNOS, Balloon Cell Melanoma, Regressing Melanoma, Meningeal Melanomatosis, Amelanotic Melanoma, Melan Junction Nevus, Melan in Precanc Melanoma, Desmoplastic Melanoma, Mucosal Lentiginous Melan, Melan Giant Pig Nevus, Epithelioid/Spindle Cell Melan, Epithel Cell Melanoma, Spindle Cell Melanoma NOS, Spindle Cell Melanoma type A, Spindle Cell Melanoma type B, and Blue Nevus Malignant. Table 3: Associations between marital status and survival in Florida melanoma patients between 2001 and 2009. Unadjusted HR (99% CI) P value Marital status Single Reference Reference (never married) Married 0.78 (0.72-0.85) <0.001 Divorced 0.97 (0.86-1.10) 0.566 Widowed 1.59 (l.44-1.76) <0.001 Age at diagnosis 1.04 (1.04-1.04) <0.001 Sex Female Reference Reference Male 1.49 (1.40-1.58) <0.001 Insurance status Insurance Reference Reference No insurance 1.36 (1.16-1.58) <0.001 Race White Reference Reference Black 1.63 (1.21-2.20) <0.001 Other 0.83 (0.51-1.35) 0.315 Ethnicity Non-Hispanic Reference Reference Hispanic 1.29 (1.12-1.49) <0.001 Tobacco use Never Reference Reference Current 1.33 (1.21-1.46) <0.001 Former 1.36 (1.26-1.46) <0.001 Histology Superficial Reference Reference spreading Acral 1.38 (1.19-1.60) <0.001 lentiginous Lentigo maligna 2.22 (1.68-2.95) <0.001 Nodular 2.75 (2.41-3.14) <0.001 Other 1.54 (1.39-1.71) <0.001 Staging Early Reference Reference Late 4.32 (4.05-4.60) <0.001 Primary site Face Reference Reference External ear 1.06 (0.91-1.24) 0.333 Scalp and neck 1.18 (1.06-1.32) <0.001 Trunk 0.80 (0.73-0.87) <0.001 Upper limb and 0.82 (0.75-0.90) <0.001 shoulder Lower limb and 0.75 (0.68-0.83) <0.001 hip Geographic area Northwest Reference Reference Northeast 0.70 (0.60-0.82) <0.001 North central 0.72 (0.59-0.88) <0.001 Central west 0.77 (0.68-0.88) <0.001 Central 0.54 (0.47-0.62) <0.001 Central east 0.88 (0.76-1.02) 0.025 Southeast 0.75 (0.66-0.85) <0.001 Southwest 0.77 (0.67-0.90) <0.001 Adjusted HR (99% CI) P value Marital status Single Reference Reference (never married) Married 0.65 (0.57-0.74) <0.001 Divorced 0.89 (0.74-1.08) 0.117 Widowed 0.87 (0.74-1.01) 0.019 Age at diagnosis 1.05 (1.04-1.05) <0.001 Sex Female Reference Reference Male 1.33 (1.22-1.46) <0.001 Insurance status Insurance Reference Reference No insurance 1.76 (1.42-2.19) <0.001 Race White Reference Reference Black 1.66 (1.10-2.52) 0.002 Other 0.99 (0.51-1.93) 0.966 Ethnicity Non-Hispanic Reference Reference Hispanic 1.39 (1.13-1.71) <0.001 Tobacco use Never Reference Reference Current 1.461 (1.304-1.638) <0.001 Former 1.14 (1.05-1.25) <0.001 Histology Superficial Reference Reference spreading Acral 1.10 (0.91-1.34) 0.182 lentiginous Lentigo maligna 1.30 (0.91-1.86) 0.055 Nodular 1.56 (1.33-1.83) <0.001 Other 1.10 (0.97-1.25) 0.046 Staging Early Reference Reference Late 3.49 (3.18-3.82) <0.001 Primary site Face Reference Reference External ear 0.97 (0.78-1.19) 0.664 Scalp and neck 1.09 (0.94-1.26) 0.142 Trunk 1.00 (0.89-1.13) 0.989 Upper limb and 0.91 (0.80-1.02) 0.034 shoulder Lower limb and 0.85 (0.74-0.98) 0.004 hip Geographic area Northwest Reference Reference Northeast 0.66 (0.53-0.83) <0.001 North central 0.75 (0.56-0.99) 0.009 Central west 0.68 (0.56-0.84) <0.001 Central 0.57 (0.47-0.70) <0.001 Central east 0.77 (0.62-0.96) 0.002 Southeast 0.68 (0.56-0.83) <0.001 Southwest 0.67 (0.53-0.84) <0.001 SD = standard deviation; ref = reference; HR = hazard ratio; CI = confidence interval. The races grouped under "others" consist of Micronesian, Chamorro/Chamoru, American Indian, Aleutia, Alaskan Native or Eskimo (includes all indigenous populations of the Western hemisphere), Chinese, Polynesian, Japanese, Tahitian, Filipino, Samoan, Hawaiian, Tongan, Korean, Melanesian, Vietnamese, New Guinean, Laotian, Other Asian, including Asian, not otherwise specified, Hmong, Pacific Islander, Kampuchean, Thai, Asian Indian or Pakistani, Asian Indian, Pakistani, Guamanian, Fiji Islanders, and Oriental, not otherwise specified, as well as unknown races. The histological categories grouped under "others" consist of Malignant Melanoma NOS, Balloon Cell Melanoma, Regressing Melanoma, Meningeal Melanomatosis, Amelanotic Melanoma, Melan Junction Nevus, Melan in Precanc Melanoma, Desmoplastic Melanoma, Mucosal Lentiginous Melan, Melan Giant Pig Nevus, Epithelioid/Spindle Cell Melan, Epithel Cell Melanoma, Spindle Cell Melanoma NOS, Spindle Cell Melanoma type A, Spindle Cell Melanoma type B, and Blue Nevus Malignant.
![]() ![]() ![]() ![]() | |
Title Annotation: | Research Article |
---|---|
Author: | Maas, J.A.; Monreal, A.J.; Diaz, E.L.; Castro, G.; de la Vega, P. Rodriguez; Varella, M. |
Publication: | Dermatology Research and Practice |
Geographic Code: | 1U5FL |
Date: | Mar 1, 2020 |
Words: | 5827 |
Previous Article: | Skin and Soft Tissue Lesions in a District Hospital in Central Nigeria: A Histopathological Study. |
Next Article: | Heat Shock Lipolysis: Radiofrequency Combined with Cryolipolysis for the Reduction of Localized Subcutaneous Fat. |
Topics: |