Trends for in situ and Invasive Melanoma in Queensland, Australia, 1982–2002 View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-02

AUTHORS

Michael Coory, Peter Baade, Joanne Aitken, Mark Smithers, G. Roderick C. McLeod, Ian Ring

ABSTRACT

OBJECTIVES: Queensland, the north-eastern state of Australia, has the highest incidence of melanoma in the world. Control measures started earlier here than probably anywhere else in the world; early detection programmes started in the 1960s and primary prevention in the 1980s. Data from the population-based Queensland Cancer Registry therefore provide an internationally unique data source with which to assess trends for in situ and invasive melanomas and to consider the implications for early detection and primary prevention. METHODS: We used Poisson regression to estimate the annual percentage change in rates across 21 years of incidence data for in situ and invasive lesions, stratified by age and sex. Joinpoint analyses were used to assess whether there had been a statistically significant change in the trends. RESULTS: In situ melanomas increased by 10.4% (95% CI: 10.1%, 11.1%) per year among males and 8.4% (7.9%, 8.9%) per year among females. The incidence of invasive lesions also increased, but not as quickly; males 2.6% (2.4%, 2.8%), females 1.2% (0.9%, 1.5%). Valid data on thickness was only available for 1991 to 2002 and for this period thin-invasive lesions were increasing faster than thick-invasive lesions (for example, among males: thin 3.8%, thick 2.0%). We found some suggestive evidence of lower proportionate increase for the most recent years for both in-situ and invasive lesions, but this did not achieve statistical significance. Among people younger than 35 years, the incidence of invasive melanoma was stable and there was a suggestion of a birth cohort effect from about 1958. Mortality rates were stable across all ages, and there was a suggestion of decreasing rates among young women, although this did not achieve statistical significance. CONCLUSION: Age-standardised incidence is continuing to increase and this, in combination with a shift to proportionately more in situ lesions, suggests that the stabilisation of mortality rates is due, in large part, to earlier detection. For primary prevention, after a substantial period of sustained effort in Queensland, there is some suggestive, but not definitive, evidence that progress is being made. Incidence rates are stabilising in those younger than 35 years and the proportionate increase for both in situ and invasive lesions appears to be lower for the most recent period compared with previous periods. However, even taking the most favourable view of these trends, primary prevention is unlikely to lead to decreases in the overall incidence rate of melanoma for at least another 20 years. Consequently, the challenge for primary prevention programmes will be to maintain momentum over the long term. If this can be achieved, the eventual public-health benefits are likely to be substantial. More... »

PAGES

21-27

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10552-005-3637-4

DOI

http://dx.doi.org/10.1007/s10552-005-3637-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027842443

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16411049


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma in Situ", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Incidence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Melanoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Invasiveness", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Poisson Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Queensland", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Registries", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Skin Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Queensland Health", 
          "id": "https://www.grid.ac/institutes/grid.415606.0", 
          "name": [
            "Health Information Branch, Queensland Health, GPO Box 48, 4001, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coory", 
        "givenName": "Michael", 
        "id": "sg:person.01053520214.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053520214.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Council Queensland", 
          "id": "https://www.grid.ac/institutes/grid.430282.f", 
          "name": [
            "Viertel Centre for Research in Cancer Control, Queensland Cancer Fund, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baade", 
        "givenName": "Peter", 
        "id": "sg:person.01031232451.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031232451.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Council Queensland", 
          "id": "https://www.grid.ac/institutes/grid.430282.f", 
          "name": [
            "Viertel Centre for Research in Cancer Control, Queensland Cancer Fund, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aitken", 
        "givenName": "Joanne", 
        "id": "sg:person.01262541645.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262541645.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princess Alexandra Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412744.0", 
          "name": [
            "Department of Surgery, University of Queensland and Senior Visiting Medical Officer, Upper Gastro-intestinal and Soft tissue Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Smithers", 
        "givenName": "Mark", 
        "id": "sg:person.01176006763.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176006763.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princess Alexandra Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412744.0", 
          "name": [
            "Division of Surgery, Queensland Melanoma Register, Princess Alexandra Hospital, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McLeod", 
        "givenName": "G. Roderick C.", 
        "id": "sg:person.013431727437.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013431727437.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queensland Health", 
          "id": "https://www.grid.ac/institutes/grid.415606.0", 
          "name": [
            "Health Information Branch, Queensland Health, GPO Box 48, 4001, Brisbane, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ring", 
        "givenName": "Ian", 
        "id": "sg:person.0660444554.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660444554.62"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1136/bmj.1.6158.253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000010545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1096-9098(199802)67:2<73::aid-jso1>3.0.co;2-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003555580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.pu.12.050191.002233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008963276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008390-200110000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010907160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00008390-200110000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010907160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/93.9.678", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014775370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008980919928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016628985", 
          "https://doi.org/10.1023/a:1008980919928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm200011303432203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017750022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029319830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0190-9622(99)70562-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033721805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0190-9622(99)70562-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033721805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2133.2001.03954.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045455382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.1203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051809088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1525-1500.1998.00052.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056744550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/sder.2003.50003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057077835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.312.7024.137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062774534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.312.7024.137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062774534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076826391", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.2004.tb06010.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076826391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081449825", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.1966.tb72673.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1081449825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082402591", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082532858", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.1995.tb138407.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082532858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.1995.tb138407.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082532858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083357445", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-02", 
    "datePublishedReg": "2006-02-01", 
    "description": "OBJECTIVES: Queensland, the north-eastern state of Australia, has the highest incidence of melanoma in the world. Control measures started earlier here than probably anywhere else in the world; early detection programmes started in the 1960s and primary prevention in the 1980s. Data from the population-based Queensland Cancer Registry therefore provide an internationally unique data source with which to assess trends for in situ and invasive melanomas and to consider the implications for early detection and primary prevention.\nMETHODS: We used Poisson regression to estimate the annual percentage change in rates across 21 years of incidence data for in situ and invasive lesions, stratified by age and sex. Joinpoint analyses were used to assess whether there had been a statistically significant change in the trends.\nRESULTS: In situ melanomas increased by 10.4% (95% CI: 10.1%, 11.1%) per year among males and 8.4% (7.9%, 8.9%) per year among females. The incidence of invasive lesions also increased, but not as quickly; males 2.6% (2.4%, 2.8%), females 1.2% (0.9%, 1.5%). Valid data on thickness was only available for 1991 to 2002 and for this period thin-invasive lesions were increasing faster than thick-invasive lesions (for example, among males: thin 3.8%, thick 2.0%). We found some suggestive evidence of lower proportionate increase for the most recent years for both in-situ and invasive lesions, but this did not achieve statistical significance. Among people younger than 35 years, the incidence of invasive melanoma was stable and there was a suggestion of a birth cohort effect from about 1958. Mortality rates were stable across all ages, and there was a suggestion of decreasing rates among young women, although this did not achieve statistical significance.\nCONCLUSION: Age-standardised incidence is continuing to increase and this, in combination with a shift to proportionately more in situ lesions, suggests that the stabilisation of mortality rates is due, in large part, to earlier detection. For primary prevention, after a substantial period of sustained effort in Queensland, there is some suggestive, but not definitive, evidence that progress is being made. Incidence rates are stabilising in those younger than 35 years and the proportionate increase for both in situ and invasive lesions appears to be lower for the most recent period compared with previous periods. However, even taking the most favourable view of these trends, primary prevention is unlikely to lead to decreases in the overall incidence rate of melanoma for at least another 20 years. Consequently, the challenge for primary prevention programmes will be to maintain momentum over the long term. If this can be achieved, the eventual public-health benefits are likely to be substantial.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10552-005-3637-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1100917", 
        "issn": [
          "0957-5243", 
          "1573-7225"
        ], 
        "name": "Cancer Causes & Control", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Trends for in situ and Invasive Melanoma in Queensland, Australia, 1982\u20132002", 
    "pagination": "21-27", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "84a1c292aca8463166e00158b6ca020951e481ce9609640f89f766ecdc351be9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16411049"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100846"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10552-005-3637-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027842443"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10552-005-3637-4", 
      "https://app.dimensions.ai/details/publication/pub.1027842443"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000363_0000000363/records_70046_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10552-005-3637-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10552-005-3637-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10552-005-3637-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10552-005-3637-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10552-005-3637-4'


 

This table displays all metadata directly associated to this object as RDF triples.

241 TRIPLES      21 PREDICATES      68 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10552-005-3637-4 schema:about N08335cb41dbc48548f022a072a1238e9
2 N0c5102d722a841e599214c23a8288514
3 N15e940151a7f43da86be1c26a516fcf3
4 N1f4d53365ca44ebaa057b1e192fdd007
5 N2ec8e0a1ed8d4405a83d4518999d2f8b
6 N55f8ffc7e114421dbf5832294684b362
7 N73f2023dbb9341e386a99e4f15b4b0b7
8 N8b67ebb6f7e54d0bb4f7682d2a9f2707
9 N91e4ba4f4eb64232acc0f558d5dc6a13
10 N99cefba700b2474a87b70d8224f622d5
11 N9db9980b9aa548d6b3c4e0887312e2f8
12 Na0fc1556a6d9445f94ce7e1e6529cf07
13 Nb7abfd3cd7c347eab4e5c391e5982531
14 Nca9006584fa140a6bee0f4370ff92366
15 Ncd5dd7e7cab242a89cc12baf58233733
16 Nfa34ffadd8104af29c320bf639f55d5e
17 Nfb55e6007cf14d35a384082fcf704bf4
18 anzsrc-for:11
19 anzsrc-for:1117
20 schema:author N375a9c0a4bde428a85168344dea0fe09
21 schema:citation sg:pub.10.1023/a:1008980919928
22 https://app.dimensions.ai/details/publication/pub.1076826391
23 https://app.dimensions.ai/details/publication/pub.1081449825
24 https://app.dimensions.ai/details/publication/pub.1082402591
25 https://app.dimensions.ai/details/publication/pub.1082532858
26 https://app.dimensions.ai/details/publication/pub.1083357445
27 https://doi.org/10.1002/(sici)1096-9098(199802)67:2<73::aid-jso1>3.0.co;2-i
28 https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z
29 https://doi.org/10.1002/ijc.1203
30 https://doi.org/10.1016/s0190-9622(99)70562-1
31 https://doi.org/10.1046/j.1365-2133.2001.03954.x
32 https://doi.org/10.1046/j.1525-1500.1998.00052.x
33 https://doi.org/10.1053/sder.2003.50003
34 https://doi.org/10.1056/nejm200011303432203
35 https://doi.org/10.1093/jnci/93.9.678
36 https://doi.org/10.1097/00008390-200110000-00013
37 https://doi.org/10.1136/bmj.1.6158.253
38 https://doi.org/10.1136/bmj.312.7024.137
39 https://doi.org/10.1146/annurev.pu.12.050191.002233
40 https://doi.org/10.5694/j.1326-5377.1966.tb72673.x
41 https://doi.org/10.5694/j.1326-5377.1995.tb138407.x
42 https://doi.org/10.5694/j.1326-5377.2004.tb06010.x
43 schema:datePublished 2006-02
44 schema:datePublishedReg 2006-02-01
45 schema:description OBJECTIVES: Queensland, the north-eastern state of Australia, has the highest incidence of melanoma in the world. Control measures started earlier here than probably anywhere else in the world; early detection programmes started in the 1960s and primary prevention in the 1980s. Data from the population-based Queensland Cancer Registry therefore provide an internationally unique data source with which to assess trends for in situ and invasive melanomas and to consider the implications for early detection and primary prevention. METHODS: We used Poisson regression to estimate the annual percentage change in rates across 21 years of incidence data for in situ and invasive lesions, stratified by age and sex. Joinpoint analyses were used to assess whether there had been a statistically significant change in the trends. RESULTS: In situ melanomas increased by 10.4% (95% CI: 10.1%, 11.1%) per year among males and 8.4% (7.9%, 8.9%) per year among females. The incidence of invasive lesions also increased, but not as quickly; males 2.6% (2.4%, 2.8%), females 1.2% (0.9%, 1.5%). Valid data on thickness was only available for 1991 to 2002 and for this period thin-invasive lesions were increasing faster than thick-invasive lesions (for example, among males: thin 3.8%, thick 2.0%). We found some suggestive evidence of lower proportionate increase for the most recent years for both in-situ and invasive lesions, but this did not achieve statistical significance. Among people younger than 35 years, the incidence of invasive melanoma was stable and there was a suggestion of a birth cohort effect from about 1958. Mortality rates were stable across all ages, and there was a suggestion of decreasing rates among young women, although this did not achieve statistical significance. CONCLUSION: Age-standardised incidence is continuing to increase and this, in combination with a shift to proportionately more in situ lesions, suggests that the stabilisation of mortality rates is due, in large part, to earlier detection. For primary prevention, after a substantial period of sustained effort in Queensland, there is some suggestive, but not definitive, evidence that progress is being made. Incidence rates are stabilising in those younger than 35 years and the proportionate increase for both in situ and invasive lesions appears to be lower for the most recent period compared with previous periods. However, even taking the most favourable view of these trends, primary prevention is unlikely to lead to decreases in the overall incidence rate of melanoma for at least another 20 years. Consequently, the challenge for primary prevention programmes will be to maintain momentum over the long term. If this can be achieved, the eventual public-health benefits are likely to be substantial.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N1128408d281147e79b41b888f63ae165
50 N52f22c249a5545a7a1fefacbfb84969d
51 sg:journal.1100917
52 schema:name Trends for in situ and Invasive Melanoma in Queensland, Australia, 1982–2002
53 schema:pagination 21-27
54 schema:productId N39c9cc4badf544e19c2f66df84ee96d4
55 N549af14d4fda423c819f18ea75c5dde3
56 N67bd293ff1564b109fc3a9103f2d6faa
57 N8a35d44604e243e08cfa8c77e40d34a6
58 Nb8785b8ddc3a4ffda0f46305c6f7bc08
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027842443
60 https://doi.org/10.1007/s10552-005-3637-4
61 schema:sdDatePublished 2019-04-11T12:39
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher N5ce6d45777204b8c87dc899b17544242
64 schema:url http://link.springer.com/10.1007/s10552-005-3637-4
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N07b9f9a07af54c858baba43b2eac2e94 rdf:first sg:person.0660444554.62
69 rdf:rest rdf:nil
70 N08335cb41dbc48548f022a072a1238e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Humans
72 rdf:type schema:DefinedTerm
73 N0c5102d722a841e599214c23a8288514 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Skin Neoplasms
75 rdf:type schema:DefinedTerm
76 N1128408d281147e79b41b888f63ae165 schema:issueNumber 1
77 rdf:type schema:PublicationIssue
78 N15e940151a7f43da86be1c26a516fcf3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Male
80 rdf:type schema:DefinedTerm
81 N1f4d53365ca44ebaa057b1e192fdd007 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Female
83 rdf:type schema:DefinedTerm
84 N2ec8e0a1ed8d4405a83d4518999d2f8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Incidence
86 rdf:type schema:DefinedTerm
87 N375a9c0a4bde428a85168344dea0fe09 rdf:first sg:person.01053520214.71
88 rdf:rest Nc0e16d0b000940dca90e03c65c9c9814
89 N39c9cc4badf544e19c2f66df84ee96d4 schema:name dimensions_id
90 schema:value pub.1027842443
91 rdf:type schema:PropertyValue
92 N52f22c249a5545a7a1fefacbfb84969d schema:volumeNumber 17
93 rdf:type schema:PublicationVolume
94 N549af14d4fda423c819f18ea75c5dde3 schema:name readcube_id
95 schema:value 84a1c292aca8463166e00158b6ca020951e481ce9609640f89f766ecdc351be9
96 rdf:type schema:PropertyValue
97 N55f8ffc7e114421dbf5832294684b362 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Age Factors
99 rdf:type schema:DefinedTerm
100 N5ce6d45777204b8c87dc899b17544242 schema:name Springer Nature - SN SciGraph project
101 rdf:type schema:Organization
102 N60a43a4cd0dc491eaf4882df9b97398b rdf:first sg:person.013431727437.39
103 rdf:rest N07b9f9a07af54c858baba43b2eac2e94
104 N67bd293ff1564b109fc3a9103f2d6faa schema:name nlm_unique_id
105 schema:value 9100846
106 rdf:type schema:PropertyValue
107 N73f2023dbb9341e386a99e4f15b4b0b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Neoplasm Invasiveness
109 rdf:type schema:DefinedTerm
110 N8a35d44604e243e08cfa8c77e40d34a6 schema:name doi
111 schema:value 10.1007/s10552-005-3637-4
112 rdf:type schema:PropertyValue
113 N8b67ebb6f7e54d0bb4f7682d2a9f2707 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Risk Factors
115 rdf:type schema:DefinedTerm
116 N91e4ba4f4eb64232acc0f558d5dc6a13 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Age Distribution
118 rdf:type schema:DefinedTerm
119 N99cefba700b2474a87b70d8224f622d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Adult
121 rdf:type schema:DefinedTerm
122 N9db9980b9aa548d6b3c4e0887312e2f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Carcinoma in Situ
124 rdf:type schema:DefinedTerm
125 Na0fc1556a6d9445f94ce7e1e6529cf07 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Poisson Distribution
127 rdf:type schema:DefinedTerm
128 Na7ed6f553bdf4ff2b04f878cc7531fcb rdf:first sg:person.01176006763.33
129 rdf:rest N60a43a4cd0dc491eaf4882df9b97398b
130 Nb7abfd3cd7c347eab4e5c391e5982531 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Registries
132 rdf:type schema:DefinedTerm
133 Nb8785b8ddc3a4ffda0f46305c6f7bc08 schema:name pubmed_id
134 schema:value 16411049
135 rdf:type schema:PropertyValue
136 Nc0e16d0b000940dca90e03c65c9c9814 rdf:first sg:person.01031232451.74
137 rdf:rest Ne1691ca7df3b4c5c83170376446eb173
138 Nca9006584fa140a6bee0f4370ff92366 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Queensland
140 rdf:type schema:DefinedTerm
141 Ncd5dd7e7cab242a89cc12baf58233733 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Middle Aged
143 rdf:type schema:DefinedTerm
144 Ne1691ca7df3b4c5c83170376446eb173 rdf:first sg:person.01262541645.69
145 rdf:rest Na7ed6f553bdf4ff2b04f878cc7531fcb
146 Nfa34ffadd8104af29c320bf639f55d5e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Melanoma
148 rdf:type schema:DefinedTerm
149 Nfb55e6007cf14d35a384082fcf704bf4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Aged
151 rdf:type schema:DefinedTerm
152 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
153 schema:name Medical and Health Sciences
154 rdf:type schema:DefinedTerm
155 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
156 schema:name Public Health and Health Services
157 rdf:type schema:DefinedTerm
158 sg:journal.1100917 schema:issn 0957-5243
159 1573-7225
160 schema:name Cancer Causes & Control
161 rdf:type schema:Periodical
162 sg:person.01031232451.74 schema:affiliation https://www.grid.ac/institutes/grid.430282.f
163 schema:familyName Baade
164 schema:givenName Peter
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031232451.74
166 rdf:type schema:Person
167 sg:person.01053520214.71 schema:affiliation https://www.grid.ac/institutes/grid.415606.0
168 schema:familyName Coory
169 schema:givenName Michael
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053520214.71
171 rdf:type schema:Person
172 sg:person.01176006763.33 schema:affiliation https://www.grid.ac/institutes/grid.412744.0
173 schema:familyName Smithers
174 schema:givenName Mark
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176006763.33
176 rdf:type schema:Person
177 sg:person.01262541645.69 schema:affiliation https://www.grid.ac/institutes/grid.430282.f
178 schema:familyName Aitken
179 schema:givenName Joanne
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262541645.69
181 rdf:type schema:Person
182 sg:person.013431727437.39 schema:affiliation https://www.grid.ac/institutes/grid.412744.0
183 schema:familyName McLeod
184 schema:givenName G. Roderick C.
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013431727437.39
186 rdf:type schema:Person
187 sg:person.0660444554.62 schema:affiliation https://www.grid.ac/institutes/grid.415606.0
188 schema:familyName Ring
189 schema:givenName Ian
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660444554.62
191 rdf:type schema:Person
192 sg:pub.10.1023/a:1008980919928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016628985
193 https://doi.org/10.1023/a:1008980919928
194 rdf:type schema:CreativeWork
195 https://app.dimensions.ai/details/publication/pub.1076826391 schema:CreativeWork
196 https://app.dimensions.ai/details/publication/pub.1081449825 schema:CreativeWork
197 https://app.dimensions.ai/details/publication/pub.1082402591 schema:CreativeWork
198 https://app.dimensions.ai/details/publication/pub.1082532858 schema:CreativeWork
199 https://app.dimensions.ai/details/publication/pub.1083357445 schema:CreativeWork
200 https://doi.org/10.1002/(sici)1096-9098(199802)67:2<73::aid-jso1>3.0.co;2-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1003555580
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1029319830
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1002/ijc.1203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051809088
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s0190-9622(99)70562-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033721805
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1046/j.1365-2133.2001.03954.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045455382
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1046/j.1525-1500.1998.00052.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1056744550
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1053/sder.2003.50003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057077835
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1056/nejm200011303432203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017750022
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1093/jnci/93.9.678 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014775370
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1097/00008390-200110000-00013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010907160
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1136/bmj.1.6158.253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000010545
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1136/bmj.312.7024.137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062774534
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1146/annurev.pu.12.050191.002233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008963276
225 rdf:type schema:CreativeWork
226 https://doi.org/10.5694/j.1326-5377.1966.tb72673.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1081449825
227 rdf:type schema:CreativeWork
228 https://doi.org/10.5694/j.1326-5377.1995.tb138407.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1082532858
229 rdf:type schema:CreativeWork
230 https://doi.org/10.5694/j.1326-5377.2004.tb06010.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1076826391
231 rdf:type schema:CreativeWork
232 https://www.grid.ac/institutes/grid.412744.0 schema:alternateName Princess Alexandra Hospital
233 schema:name Department of Surgery, University of Queensland and Senior Visiting Medical Officer, Upper Gastro-intestinal and Soft tissue Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
234 Division of Surgery, Queensland Melanoma Register, Princess Alexandra Hospital, Brisbane, Queensland, Australia
235 rdf:type schema:Organization
236 https://www.grid.ac/institutes/grid.415606.0 schema:alternateName Queensland Health
237 schema:name Health Information Branch, Queensland Health, GPO Box 48, 4001, Brisbane, Queensland, Australia
238 rdf:type schema:Organization
239 https://www.grid.ac/institutes/grid.430282.f schema:alternateName Cancer Council Queensland
240 schema:name Viertel Centre for Research in Cancer Control, Queensland Cancer Fund, Brisbane, Queensland, Australia
241 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...