Literature DB >> 25628333

Accuracy of self-reported nevus and pigmentation phenotype compared with clinical assessment in a population-based study of young Australian adults.

Anne E Cust1, Kristen M Pickles2, Chris Goumas3, Thao Vu3, Helen Schmid4, Eduardo Nagore5, John Kelly6, Joanne F Aitken7, Graham G Giles8, John L Hopper9, Mark A Jenkins9, Graham J Mann4.   

Abstract

BACKGROUND: Awareness of individual risk may encourage improved prevention and early detection of melanoma.
METHODS: We evaluated the accuracy of self-reported pigmentation and nevus phenotype compared with clinical assessment, and examined agreement between nevus counts from selected anatomical regions. The sample included 456 cases with invasive cutaneous melanoma diagnosed between ages 18 to 39 years and 538 controls from the population-based Australian Melanoma Family Study. Participants completed a questionnaire about their pigmentation and nevus phenotype, and attended a dermatologic skin examination.
RESULTS: There was strong agreement between self-reported and clinical assessment of eye color [κ, = 0.78; 95% confidence interval (CI), 0.74-0.81]; and moderate agreement for hair color (κ = 0.46; 95% CI, 0.42-0.50). Agreement between self-reported skin color and spectrophotometer-derived measurements was poor (κ = 0.12; 95% CI, 0.08-0.16) to moderate (Spearman correlation rs = -0.37; 95% CI, -0.32 to -0.42). Participants tended to underestimate their nevus counts and pigmentation; men were more likely to underreport their skin color. The rs was 0.43 (95% CI, 0.38-0.49) comparing clinical total body nevus counts with self-reported nevus categories. There was good agreement between total body nevus counts and site-specific nevus counts, particularly on both arms.
CONCLUSIONS: Young adults have suboptimal accuracy when assessing important risk characteristics including nevus numbers and pigmentation. Measuring nevus count on the arms is a good predictor of full body nevus count. IMPACT: These results have implications for the likely success of targeted public health programs that rely on self-assessment of these factors. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 25628333      PMCID: PMC4698346          DOI: 10.1158/1055-9965.EPI-14-1203

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  34 in total

1.  Reflectance spectrophotometer: the dermatologists' sphygmomanometer for skin phototyping?

Authors:  Lynn K Pershing; Vidyanath P Tirumala; Joel L Nelson; Judy L Corlett; Anne G Lin; Laurence J Meyer; Sancy A Leachman
Journal:  J Invest Dermatol       Date:  2008-01-17       Impact factor: 8.551

2.  Assessing melanoma risk factors: how closely do patients and doctors agree?

Authors:  E Richtig; E Santigli; R Fink-Puches; W Weger; R Hofmann-Wellenhof
Journal:  Public Health       Date:  2008-08-26       Impact factor: 2.427

3.  Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit.

Authors:  J Cohen
Journal:  Psychol Bull       Date:  1968-10       Impact factor: 17.737

4.  Questionnaire items to assess skin color and erythemal sensitivity: reliability, validity, and "the dark shift".

Authors:  Anthony I Reeder; Vanessa A Hammond; Andrew R Gray
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-05       Impact factor: 4.254

5.  Site-specific melanocytic naevus counts as predictors of whole body naevi.

Authors:  J S English; A J Swerdlow; R M Mackie; C J O'Doherty; J A Hunter; J Clark; D J Hole
Journal:  Br J Dermatol       Date:  1988-05       Impact factor: 9.302

Review 6.  Efficacy of skin self-examination for the early detection of melanoma.

Authors:  Reyhaneh Hamidi; David Peng; Myles Cockburn
Journal:  Int J Dermatol       Date:  2010-02       Impact factor: 2.736

7.  Population-based, case-control-family design to investigate genetic and environmental influences on melanoma risk: Australian Melanoma Family Study.

Authors:  Anne E Cust; Helen Schmid; Judith A Maskiell; Jodie Jetann; Megan Ferguson; Elizabeth A Holland; Chantelle Agha-Hamilton; Mark A Jenkins; John Kelly; Richard F Kefford; Graham G Giles; Bruce K Armstrong; Joanne F Aitken; John L Hopper; Graham J Mann
Journal:  Am J Epidemiol       Date:  2009-11-03       Impact factor: 4.897

8.  Nevus count on specific anatomic sites as a predictor of total body count: a survey of 3,406 children from Italy.

Authors:  Silvano Gallus; Luigi Naldi; Paolo Carli; Carlo La Vecchia
Journal:  Am J Epidemiol       Date:  2007-06-20       Impact factor: 4.897

9.  Final version of 2009 AJCC melanoma staging and classification.

Authors:  Charles M Balch; Jeffrey E Gershenwald; Seng-Jaw Soong; John F Thompson; Michael B Atkins; David R Byrd; Antonio C Buzaid; Alistair J Cochran; Daniel G Coit; Shouluan Ding; Alexander M Eggermont; Keith T Flaherty; Phyllis A Gimotty; John M Kirkwood; Kelly M McMasters; Martin C Mihm; Donald L Morton; Merrick I Ross; Arthur J Sober; Vernon K Sondak
Journal:  J Clin Oncol       Date:  2009-11-16       Impact factor: 44.544

10.  Melanocytic nevi and sun exposure in a cohort of colorado children: anatomic distribution and site-specific sunburn.

Authors:  Athena T Dodd; Joseph Morelli; Stefan T Mokrohisky; Nancy Asdigian; Tim E Byers; Lori A Crane
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-10       Impact factor: 4.254

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  4 in total

1.  Associations between benign cutaneous nevi and risk of Type 2 diabetes mellitus in men and women: results from two prospective cohort studies.

Authors:  H Dai; Q Sun; C Zhang; X Zhang; W-Q Li; J E Manson; F B Hu; Y Song
Journal:  Diabet Med       Date:  2016-12-29       Impact factor: 4.359

2.  Development and external validation study of a melanoma risk prediction model incorporating clinically assessed naevi and solar lentigines.

Authors:  K Vuong; B K Armstrong; M Drummond; J L Hopper; J H Barrett; J R Davies; D T Bishop; J Newton-Bishop; J F Aitken; G G Giles; H Schmid; M A Jenkins; G J Mann; K McGeechan; A E Cust
Journal:  Br J Dermatol       Date:  2019-09-22       Impact factor: 9.302

3.  Level of UV Exposure, Skin Type, and Age Are More Important than Thiopurine Use for Keratinocyte Carcinoma Development in IBD Patients.

Authors:  Yang Wu; Simon Ghaly; Stephen Kerr; Bryce Jackson; Katherine Hanigan; Deborah Martins; Krupa Krishnaprasad; Reme E Mountifield; David C Whiteman; Peter A Bampton; Richard B Gearry; Graham L Radford-Smith; Ian C Lawrance
Journal:  Dig Dis Sci       Date:  2019-09-06       Impact factor: 3.199

4.  Host Characteristics and Risk of Incident Melanoma by Breslow Thickness.

Authors:  Wen-Qing Li; Eunyoung Cho; Shaowei Wu; Suyun Li; Natalie H Matthews; Abrar A Qureshi
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-10-19       Impact factor: 4.254

  4 in total

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