Trends in the lifetime risk of developing cancer in Great Britain: comparison of risk for those born from 1930 to ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-03

AUTHORS

A S Ahmad, N Ormiston-Smith, P D Sasieni

ABSTRACT

BACKGROUND: Typically, lifetime risk is calculated by the period method using current risks at different ages. Here, we estimate the probability of being diagnosed with cancer for individuals born in a given year, by estimating future risks as the cohort ages. METHODS: We estimated the lifetime risk of cancer in Britain separately for men and women born in each year from 1930 to 1960. We projected rates of all cancers (excluding non-melanoma skin cancer) and of all cancer deaths forwards using a flexible age-period-cohort model and backwards using age-specific extrapolation. The sensitivity of the estimated lifetime risk to the method of projection was explored. RESULTS: The lifetime risk of cancer increased from 38.5% for men born in 1930 to 53.5% for men born in 1960. For women it increased from 36.7 to 47.5%. Results are robust to different models for projections of cancer rates. CONCLUSIONS: The lifetime risk of cancer for people born since 1960 is >50%. Over half of people who are currently adults under the age of 65 years will be diagnosed with cancer at some point in their lifetime. More... »

PAGES

943

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2014.606

DOI

http://dx.doi.org/10.1038/bjc.2014.606

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010247063

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25647015


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": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "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": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Characteristics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United Kingdom", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "Queen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Charterhouse Square, London EC1M 6BQ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahmad", 
        "givenName": "A S", 
        "id": "sg:person.0650015121.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650015121.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Research UK", 
          "id": "https://www.grid.ac/institutes/grid.11485.39", 
          "name": [
            "Cancer Research UK, Head of Statistical Information, Angel Building, 407 St John Street, London EC1V 4AD, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ormiston-Smith", 
        "givenName": "N", 
        "id": "sg:person.0647700074.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647700074.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen Mary University of London", 
          "id": "https://www.grid.ac/institutes/grid.4868.2", 
          "name": [
            "Queen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Charterhouse Square, London EC1M 6BQ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sasieni", 
        "givenName": "P D", 
        "id": "sg:person.01257735610.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257735610.85"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ejca.2010.09.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010582294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2011.430", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011750338", 
          "https://doi.org/10.1038/bjc.2011.430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.2910460408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013258839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(08)60269-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016030406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1009685507602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030509545", 
          "https://doi.org/10.1023/a:1009685507602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00001648-199405000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048288004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00001648-199405000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048288004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-09-0090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050147099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2011.250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051552392", 
          "https://doi.org/10.1038/bjc.2011.250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/85.11.892", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059817956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075311619", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-03", 
    "datePublishedReg": "2015-03-01", 
    "description": "BACKGROUND: Typically, lifetime risk is calculated by the period method using current risks at different ages. Here, we estimate the probability of being diagnosed with cancer for individuals born in a given year, by estimating future risks as the cohort ages.\nMETHODS: We estimated the lifetime risk of cancer in Britain separately for men and women born in each year from 1930 to 1960. We projected rates of all cancers (excluding non-melanoma skin cancer) and of all cancer deaths forwards using a flexible age-period-cohort model and backwards using age-specific extrapolation. The sensitivity of the estimated lifetime risk to the method of projection was explored.\nRESULTS: The lifetime risk of cancer increased from 38.5% for men born in 1930 to 53.5% for men born in 1960. For women it increased from 36.7 to 47.5%. Results are robust to different models for projections of cancer rates.\nCONCLUSIONS: The lifetime risk of cancer for people born since 1960 is >50%. Over half of people who are currently adults under the age of 65 years will be diagnosed with cancer at some point in their lifetime.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/bjc.2014.606", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5140933", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5134376", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "112"
      }
    ], 
    "name": "Trends in the lifetime risk of developing cancer in Great Britain: comparison of risk for those born from 1930 to 1960", 
    "pagination": "943", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "30d1875a3790e437ed5e2bbe891ba286ba7d84f6c1ee5d51e65900d8c76d15bb"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25647015"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bjc.2014.606"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1010247063"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bjc.2014.606", 
      "https://app.dimensions.ai/details/publication/pub.1010247063"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:57", 
    "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/v90/0000000001_0000000264/records_8660_00000434.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/bjc2014606"
  }
]
 

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.10.1038/bjc.2014.606'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/bjc.2014.606'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.2014.606'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.2014.606'


 

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

174 TRIPLES      21 PREDICATES      52 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bjc.2014.606 schema:about N032aa4701113403c93bd4f93748a25f2
2 N12740afb2938410fa413e169664d9e3c
3 N1ee784e95f254dd093221ca917734434
4 N20dfee04b64d4553bd0db7bc13150800
5 N244b2cbab30e45c9b30f6d6d8c0446f2
6 N2a69270f08964f51a9792738d4dfe2a9
7 N2f8cd04338344604a7b13ac83dd9fef9
8 N7bfb025af1bf4dd7b66572c7add1c3ba
9 Na25d03bcc277434aa33fe5a294833644
10 Nbb5a21e689724d93af5a1901baf295f2
11 Nefbaf7969cf2468c98c0be2e8eb52728
12 Nf4a1a33faf914451b3174f585c59ba3b
13 Nf98340b81f5f40b7a6eaa474ec2b6190
14 anzsrc-for:11
15 anzsrc-for:1117
16 schema:author Naf78d0657e784f22b687c8db331488d9
17 schema:citation sg:pub.10.1023/a:1009685507602
18 sg:pub.10.1038/bjc.2011.250
19 sg:pub.10.1038/bjc.2011.430
20 https://app.dimensions.ai/details/publication/pub.1075311619
21 https://doi.org/10.1002/ijc.2910460408
22 https://doi.org/10.1016/j.ejca.2010.09.013
23 https://doi.org/10.1016/s0140-6736(08)60269-x
24 https://doi.org/10.1093/jnci/85.11.892
25 https://doi.org/10.1097/00001648-199405000-00006
26 https://doi.org/10.1158/1055-9965.epi-09-0090
27 schema:datePublished 2015-03
28 schema:datePublishedReg 2015-03-01
29 schema:description BACKGROUND: Typically, lifetime risk is calculated by the period method using current risks at different ages. Here, we estimate the probability of being diagnosed with cancer for individuals born in a given year, by estimating future risks as the cohort ages. METHODS: We estimated the lifetime risk of cancer in Britain separately for men and women born in each year from 1930 to 1960. We projected rates of all cancers (excluding non-melanoma skin cancer) and of all cancer deaths forwards using a flexible age-period-cohort model and backwards using age-specific extrapolation. The sensitivity of the estimated lifetime risk to the method of projection was explored. RESULTS: The lifetime risk of cancer increased from 38.5% for men born in 1930 to 53.5% for men born in 1960. For women it increased from 36.7 to 47.5%. Results are robust to different models for projections of cancer rates. CONCLUSIONS: The lifetime risk of cancer for people born since 1960 is >50%. Over half of people who are currently adults under the age of 65 years will be diagnosed with cancer at some point in their lifetime.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N9b1c2d90c3384950941ace300306925d
34 Na96ac8a97a4f4bf89d21dcad537119da
35 sg:journal.1017082
36 schema:name Trends in the lifetime risk of developing cancer in Great Britain: comparison of risk for those born from 1930 to 1960
37 schema:pagination 943
38 schema:productId N369d9de1a2884050a0c3d4681f5c189c
39 N405e83292bcf4c25a2afba83c69eed0a
40 N5d335016c3e74541bed7c2a6152b6c6a
41 N96fc3e0597824ed4a6160b1d3c382bdd
42 Nc6d216b268bf4d90a00b7e7e1e3b33fa
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010247063
44 https://doi.org/10.1038/bjc.2014.606
45 schema:sdDatePublished 2019-04-10T13:57
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N588c1469c309482988cde0d0f7597cd3
48 schema:url https://www.nature.com/articles/bjc2014606
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N032aa4701113403c93bd4f93748a25f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
53 schema:name Aged
54 rdf:type schema:DefinedTerm
55 N12740afb2938410fa413e169664d9e3c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
56 schema:name Aged, 80 and over
57 rdf:type schema:DefinedTerm
58 N1ee784e95f254dd093221ca917734434 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
59 schema:name Risk Assessment
60 rdf:type schema:DefinedTerm
61 N20dfee04b64d4553bd0db7bc13150800 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
62 schema:name Sex Characteristics
63 rdf:type schema:DefinedTerm
64 N244b2cbab30e45c9b30f6d6d8c0446f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Middle Aged
66 rdf:type schema:DefinedTerm
67 N299a218bd3ea4c86b8f1e6c099280427 rdf:first sg:person.0647700074.49
68 rdf:rest Ned17566fad5f40e789a2a25324276534
69 N2a69270f08964f51a9792738d4dfe2a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Female
71 rdf:type schema:DefinedTerm
72 N2f8cd04338344604a7b13ac83dd9fef9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Age Factors
74 rdf:type schema:DefinedTerm
75 N369d9de1a2884050a0c3d4681f5c189c schema:name readcube_id
76 schema:value 30d1875a3790e437ed5e2bbe891ba286ba7d84f6c1ee5d51e65900d8c76d15bb
77 rdf:type schema:PropertyValue
78 N405e83292bcf4c25a2afba83c69eed0a schema:name doi
79 schema:value 10.1038/bjc.2014.606
80 rdf:type schema:PropertyValue
81 N588c1469c309482988cde0d0f7597cd3 schema:name Springer Nature - SN SciGraph project
82 rdf:type schema:Organization
83 N5d335016c3e74541bed7c2a6152b6c6a schema:name pubmed_id
84 schema:value 25647015
85 rdf:type schema:PropertyValue
86 N7bfb025af1bf4dd7b66572c7add1c3ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Neoplasms
88 rdf:type schema:DefinedTerm
89 N96fc3e0597824ed4a6160b1d3c382bdd schema:name dimensions_id
90 schema:value pub.1010247063
91 rdf:type schema:PropertyValue
92 N9b1c2d90c3384950941ace300306925d schema:issueNumber 5
93 rdf:type schema:PublicationIssue
94 Na25d03bcc277434aa33fe5a294833644 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Humans
96 rdf:type schema:DefinedTerm
97 Na96ac8a97a4f4bf89d21dcad537119da schema:volumeNumber 112
98 rdf:type schema:PublicationVolume
99 Naf78d0657e784f22b687c8db331488d9 rdf:first sg:person.0650015121.46
100 rdf:rest N299a218bd3ea4c86b8f1e6c099280427
101 Nbb5a21e689724d93af5a1901baf295f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Risk Factors
103 rdf:type schema:DefinedTerm
104 Nc6d216b268bf4d90a00b7e7e1e3b33fa schema:name nlm_unique_id
105 schema:value 0370635
106 rdf:type schema:PropertyValue
107 Ned17566fad5f40e789a2a25324276534 rdf:first sg:person.01257735610.85
108 rdf:rest rdf:nil
109 Nefbaf7969cf2468c98c0be2e8eb52728 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Male
111 rdf:type schema:DefinedTerm
112 Nf4a1a33faf914451b3174f585c59ba3b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name United Kingdom
114 rdf:type schema:DefinedTerm
115 Nf98340b81f5f40b7a6eaa474ec2b6190 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Models, Statistical
117 rdf:type schema:DefinedTerm
118 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
119 schema:name Medical and Health Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
122 schema:name Public Health and Health Services
123 rdf:type schema:DefinedTerm
124 sg:grant.5134376 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2014.606
125 rdf:type schema:MonetaryGrant
126 sg:grant.5140933 http://pending.schema.org/fundedItem sg:pub.10.1038/bjc.2014.606
127 rdf:type schema:MonetaryGrant
128 sg:journal.1017082 schema:issn 0007-0920
129 1532-1827
130 schema:name British Journal of Cancer
131 rdf:type schema:Periodical
132 sg:person.01257735610.85 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
133 schema:familyName Sasieni
134 schema:givenName P D
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257735610.85
136 rdf:type schema:Person
137 sg:person.0647700074.49 schema:affiliation https://www.grid.ac/institutes/grid.11485.39
138 schema:familyName Ormiston-Smith
139 schema:givenName N
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647700074.49
141 rdf:type schema:Person
142 sg:person.0650015121.46 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
143 schema:familyName Ahmad
144 schema:givenName A S
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650015121.46
146 rdf:type schema:Person
147 sg:pub.10.1023/a:1009685507602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030509545
148 https://doi.org/10.1023/a:1009685507602
149 rdf:type schema:CreativeWork
150 sg:pub.10.1038/bjc.2011.250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051552392
151 https://doi.org/10.1038/bjc.2011.250
152 rdf:type schema:CreativeWork
153 sg:pub.10.1038/bjc.2011.430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011750338
154 https://doi.org/10.1038/bjc.2011.430
155 rdf:type schema:CreativeWork
156 https://app.dimensions.ai/details/publication/pub.1075311619 schema:CreativeWork
157 https://doi.org/10.1002/ijc.2910460408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013258839
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.ejca.2010.09.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010582294
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/s0140-6736(08)60269-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016030406
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1093/jnci/85.11.892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059817956
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1097/00001648-199405000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048288004
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1158/1055-9965.epi-09-0090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050147099
168 rdf:type schema:CreativeWork
169 https://www.grid.ac/institutes/grid.11485.39 schema:alternateName Cancer Research UK
170 schema:name Cancer Research UK, Head of Statistical Information, Angel Building, 407 St John Street, London EC1V 4AD, UK
171 rdf:type schema:Organization
172 https://www.grid.ac/institutes/grid.4868.2 schema:alternateName Queen Mary University of London
173 schema:name Queen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Charterhouse Square, London EC1M 6BQ, UK
174 rdf:type schema:Organization
 




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


...