View in EDS HTML Full Text PDF Full Text

A Risk Prediction Tool for Invasive Melanoma.

Saved in:
Bibliographic Details
Title: A Risk Prediction Tool for Invasive Melanoma.
Authors: Whiteman DC; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; School of Public Health, University of Queensland, Queensland, Australia.; School of Public Health, Queensland University of Technology, Queensland, Australia., Olsen CM; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; Frazer Institute, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Queensland, Australia., Wang H; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia., Law MH; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; School of Public Health, Queensland University of Technology, Queensland, Australia.; School of Biomedical Sciences, University of Queensland, Queensland, Australia., Neale RE; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; School of Public Health, University of Queensland, Queensland, Australia.; School of Public Health, Queensland University of Technology, Queensland, Australia., Pandeya N; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; School of Public Health, University of Queensland, Queensland, Australia.
Source: JAMA dermatology [JAMA Dermatol] 2025 Nov 01; Vol. 161 (11), pp. 1123-1131.
Publication Type: Journal Article
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101589530 Publication Model: Print Cited Medium: Internet ISSN: 2168-6084 (Electronic) Linking ISSN: 21686068 NLM ISO Abbreviation: JAMA Dermatol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40928797
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Risk Prediction Tool for Invasive Melanoma.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Whiteman+DC%22">Whiteman DC</searchLink>; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; School of Public Health, University of Queensland, Queensland, Australia.; School of Public Health, Queensland University of Technology, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Olsen+CM%22">Olsen CM</searchLink>; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; Frazer Institute, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Wang+H%22">Wang H</searchLink>; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Law+MH%22">Law MH</searchLink>; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; School of Public Health, Queensland University of Technology, Queensland, Australia.; School of Biomedical Sciences, University of Queensland, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Neale+RE%22">Neale RE</searchLink>; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; School of Public Health, University of Queensland, Queensland, Australia.; School of Public Health, Queensland University of Technology, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Pandeya+N%22">Pandeya N</searchLink>; Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.; School of Public Health, University of Queensland, Queensland, Australia.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101589530%22">JAMA dermatology</searchLink> [JAMA Dermatol] 2025 Nov 01; Vol. 161 (11), pp. 1123-1131.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Medical+Association%22">American Medical Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101589530 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2168-6084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221686068%22">21686068 </searchLink><i>NLM ISO Abbreviation: </i>JAMA Dermatol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40928797
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1001/jamadermatol.2025.3028
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1123
    Titles:
      – TitleFull: A Risk Prediction Tool for Invasive Melanoma.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Whiteman DC
      – PersonEntity:
          Name:
            NameFull: Olsen CM
      – PersonEntity:
          Name:
            NameFull: Wang H
      – PersonEntity:
          Name:
            NameFull: Law MH
      – PersonEntity:
          Name:
            NameFull: Neale RE
      – PersonEntity:
          Name:
            NameFull: Pandeya N
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2025 Nov 01
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2168-6084
          Numbering:
            – Type: volume
              Value: 161
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: JAMA dermatology
              Type: main
ResultId 1