Literature DB >> 27692970

Increasing Incidence of Melanoma in the Elderly: An Epidemiological Study in Olmsted County, Minnesota.

Jeannette M Olazagasti Lourido1, Janice E Ma2, Christine M Lohse3, Jerry D Brewer4.   

Abstract

OBJECTIVE: To estimate the age- and sex-adjusted incidence of melanoma in adults 61 years or older in Olmsted County, Minnesota, from 1970 through 2009. PATIENTS AND METHODS: Using Rochester Epidemiology Project resources, 397 patients were identified who were 61 years or older and who received a first lifetime diagnosis of melanoma from January 1, 1970, through December 31, 2009, in Olmsted County. The incidence of melanoma and the overall and disease-specific survival rates were compared by age, sex, year of diagnosis, and stage of disease.
RESULTS: From 1970 through 2009, age- and sex-adjusted incidence increased significantly (P<.001) from 17.0 (95% CI, 8.6-25.4) to 124.6 (95% CI, 108.9-140.3) per 100,000 person-years, with a 4-fold increase in women and a more than 11-fold increase in men. In men, incidence rates increased with age (P<.001) and over time (P<.001). In women, incidence rates increased over time (P<.001) but were constant across all age groups studied (P=.90). The dramatic increase in the incidence of melanoma was observed mainly for stages 0 and I tumors in both men and women (>55-fold increase). Disease-specific survival increased across the decades (P<.001); when year of diagnosis was compared to mortality, hazard ratios were 0.94 (95% CI, 0.90-0.99; P=.010) and 0.93 (95% CI, 0.89-0.98; P=.006) for men and women, respectively.
CONCLUSION: The incidence of melanoma in older men and women increased significantly over the past 4 decades in Olmsted County, with men experiencing higher rates of increase than did women.
Copyright © 2016 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27692970      PMCID: PMC5118041          DOI: 10.1016/j.mayocp.2016.06.028

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  20 in total

1.  Trends in sun exposure knowledge, attitudes, and behaviors: 1986 to 1996.

Authors:  J K Robinson; D S Rigel; R A Amonette
Journal:  J Am Acad Dermatol       Date:  1997-08       Impact factor: 11.527

2.  History of the Rochester Epidemiology Project.

Authors:  L J Melton
Journal:  Mayo Clin Proc       Date:  1996-03       Impact factor: 7.616

3.  Increasing incidence of melanoma among middle-aged adults: an epidemiologic study in Olmsted County, Minnesota.

Authors:  Garrett C Lowe; Alexandra Saavedra; Kurtis B Reed; Ana I Velazquez; Roxana S Dronca; Svetomir N Markovic; Christine M Lohse; Jerry D Brewer
Journal:  Mayo Clin Proc       Date:  2014-01       Impact factor: 7.616

4.  Impact of reporting delay and reporting error on cancer incidence rates and trends.

Authors:  Limin X Clegg; Eric J Feuer; Douglas N Midthune; Michael P Fay; Benjamin F Hankey
Journal:  J Natl Cancer Inst       Date:  2002-10-16       Impact factor: 13.506

5.  Increasing incidence of melanoma among young adults: an epidemiological study in Olmsted County, Minnesota.

Authors:  Kurtis B Reed; Jerry D Brewer; Christine M Lohse; Kariline E Bringe; Crystal N Pruitt; Lawrence E Gibson
Journal:  Mayo Clin Proc       Date:  2012-04       Impact factor: 7.616

6.  Prognostic factors analysis of 17,600 melanoma patients: validation of the American Joint Committee on Cancer melanoma staging system.

Authors:  C M Balch; S J Soong; J E Gershenwald; J F Thompson; D S Reintgen; N Cascinelli; M Urist; K M McMasters; M I Ross; J M Kirkwood; M B Atkins; J A Thompson; D G Coit; D Byrd; R Desmond; Y Zhang; P Y Liu; G H Lyman; A Morabito
Journal:  J Clin Oncol       Date:  2001-08-15       Impact factor: 44.544

7.  Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Am J Epidemiol       Date:  2011-03-23       Impact factor: 4.897

8.  Correlation between prognostic factors and increasing age in melanoma.

Authors:  Celia Chao; Robert C G Martin; Merrick I Ross; Douglas S Reintgen; Michael J Edwards; R Dirk Noyes; Lee J Hagendoorn; Arnold J Stromberg; Kelly M McMasters
Journal:  Ann Surg Oncol       Date:  2004-03       Impact factor: 5.344

9.  Invasive cutaneous melanoma in elderly patients.

Authors:  B Loggie; S G Ronan; J Bean; T K Das Gupta
Journal:  Arch Dermatol       Date:  1991-08

10.  Cancer statistics, 2009.

Authors:  Ahmedin Jemal; Rebecca Siegel; Elizabeth Ward; Yongping Hao; Jiaquan Xu; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2009-05-27       Impact factor: 508.702

View more
  2 in total

1.  Improvement and persistent disparities in completion lymph node dissection: Lessons from the National Cancer Database.

Authors:  Brian S Chu; Wima Koffi; Richard S Hoehn; Audrey Ertel; Shimul A Shah; Syed A Ahmad; Jeffrey J Sussman; Heather B Neuman; Daniel E Abbott
Journal:  J Surg Oncol       Date:  2017-07-25       Impact factor: 3.454

2.  NVD-BM-mediated genetic biosensor triggers accumulation of 7-dehydrocholesterol and inhibits melanoma via Akt1/NF-ĸB signaling.

Authors:  Jia Liu; Lei Cao; Jun-Ze Qu; Ting-Ting Chen; Zi-Jie Su; Yun-Long Hu; Ying Wang; Ming-Dong Yao; Wen-Hai Xiao; Chun Li; Bo Li; Ying-Jin Yuan
Journal:  Aging (Albany NY)       Date:  2020-07-25       Impact factor: 5.682

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.