Literature DB >> 3133052

Identifying people at high risk of cutaneous malignant melanoma: results from a case-control study in Western Australia.

D R English1, B K Armstrong.   

Abstract

To assess whether screening people at high risk of malignant melanoma would be effective in reducing the mortality from the disease data from 400 case-control pairs in a study of cutaneous malignant melanoma conducted in Western Australia during 1980-1 were used to predict the risk of melanoma in the remaining 111 pairs. All variables previously shown to be associated with a decrease or increase in the incidence of melanoma were considered for inclusion in a single conditional logistic regression model of the incidence of melanoma in the randomly chosen subset of 400 case-control pairs. Five of these variables--number of raised naevi on the arms, arrival in Australia before 10 years of age, history of non-melanocytic skin cancer, time spent outdoors in summer from the age of 10 to 24, and family history of melanoma--provided good discrimination between patients and controls in this sample and the 111 other case-control pairs. Among the 222 subjects in these other case-control pairs a group defined as being at high risk of melanoma by a risk score derived from these five variables contained 60 (54%) of the patients with melanoma but only 18 (16%) of the controls. These data suggest that in Western Australia more than half of all new patients with melanoma arise in an identifiable subpopulation constituting less than one fifth of the whole population. Identifying this subpopulation and screening it regularly for cutaneous malignant melanoma could be cost effective in reducing mortality from this disease.

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Year:  1988        PMID: 3133052      PMCID: PMC2545764          DOI: 10.1136/bmj.296.6632.1285

Source DB:  PubMed          Journal:  Br Med J (Clin Res Ed)        ISSN: 0267-0623


  15 in total

1.  Basic principles of ROC analysis.

Authors:  C E Metz
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2.  Melanoma surveillance and earlier diagnosis.

Authors:  J S Schneider; R W Sagebiel; D H Moore; G M Lawton
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3.  Estimation of multiple relative risk functions in matched case-control studies.

Authors:  N E Breslow; N E Day; K T Halvorsen; R L Prentice; C Sabai
Journal:  Am J Epidemiol       Date:  1978-10       Impact factor: 4.897

4.  Malignant melanoma among employees of Lawrence Livermore National Laboratory.

Authors:  D F Austin; P J Reynolds; M A Snyder; M W Biggs; H A Stubbs
Journal:  Lancet       Date:  1981-10-03       Impact factor: 79.321

5.  High risk of malignant melanoma in melanoma-prone families with dysplastic nevi.

Authors:  M H Greene; W H Clark; M A Tucker; K H Kraemer; D E Elder; M C Fraser
Journal:  Ann Intern Med       Date:  1985-04       Impact factor: 25.391

6.  A histological comparison of cutaneous malignant melanoma between the Oxford Region and Western Australia.

Authors:  P J Heenan; C D Holman
Journal:  Histopathology       Date:  1982-11       Impact factor: 5.087

7.  Cutaneous malignant melanoma and indicators of total accumulated exposure to the sun: an analysis separating histogenetic types.

Authors:  C D Holman; B K Armstrong
Journal:  J Natl Cancer Inst       Date:  1984-07       Impact factor: 13.506

8.  Pigmentary traits, ethnic origin, benign nevi, and family history as risk factors for cutaneous malignant melanoma.

Authors:  C D Holman; B K Armstrong
Journal:  J Natl Cancer Inst       Date:  1984-02       Impact factor: 13.506

9.  Survival from preinvasive and invasive malignant melanoma in Western Australia.

Authors:  W M Lemish; P J Heenan; C D Holman; B K Armstrong
Journal:  Cancer       Date:  1983-08-01       Impact factor: 6.860

10.  An analysis of trends in mortality from malignant melanoma of the skin in Australia.

Authors:  C D Holman; I R James; P H Gattey; B K Armstrong
Journal:  Int J Cancer       Date:  1980-12-15       Impact factor: 7.396

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  17 in total

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Review 2.  Sun exposure and risk of melanoma.

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3.  Screening for skin cancer.

Authors:  R K Curley; R A Marsden; F G Taylor
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Review 5.  Predicting melanoma risk: theory, practice and future challenges.

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6.  Self screening for risk of melanoma: validity of self mole counting by patients in a single general practice.

Authors:  P Little; M Keefe; J White
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7.  Factors in Early Adolescence Associated With a Mole-Prone Phenotype in Late Adolescence.

Authors:  Haoming Xu; Michael A Marchetti; Stephen W Dusza; Esther Chung; Maira Fonseca; Alon Scope; Alan C Geller; Marilyn Bishop; Ashfaq A Marghoob; Allan C Halpern
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8.  Identifying risk factors using a skin cancer screening program.

Authors:  Jeremy R Etzkorn; Rajiv P Parikh; Suroosh S Marzban; Kimberly Law; Ashley H Davis; Bhupendra Rawal; Michael J Schell; Vernon K Sondak; Jane L Messina; Lois E Rendina; Jonathan S Zager; Mary H Lien
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Review 9.  Hereditary melanoma and the search for the melanoma gene.

Authors:  R F Kefford
Journal:  World J Surg       Date:  1992 Mar-Apr       Impact factor: 3.352

10.  Risk targeting in cervical screening: a new look at an old problem.

Authors:  C E Wilkinson; T J Peters; I M Harvey; N C Stott
Journal:  Br J Gen Pract       Date:  1992-10       Impact factor: 5.386

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