Benefit of cervical screening at different ages: evidence from the UK audit of screening histories View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2003-07

AUTHORS

P Sasieni, J Adams, J Cuzick

ABSTRACT

While most experts agree that cervical screening is effective, there remains controversy over the most appropriate screening interval. Annual screening is common in North America. In England, some argue for 3-yearly screening while others believe 5-yearly screening is adequate, and the frequency varies from one part of the country to another. Screening histories of 1305 women aged 20-69 years, diagnosed with frankly invasive cervical cancer and 2532 age-matched controls were obtained from UK screening programme databases. Data were analysed in terms of time since last negative, and time since last screening smear. Five-yearly screening offers considerable protection (83%) against cancer at ages 55-69 years and even annual screening offers only modest additional protection (87%). Three-yearly screening offers additional protection (84%) over 5-yearly screening (73%) for cancers at ages 40-54 years, but is almost as good as annual screening (88%). In women aged 20-39 years, even annual screening is not as effective (76%) as 3-yearly screening in older women, and 3 years after screening cancer rates return to those in unscreened women. This calls into question the policy of having a uniform screening interval from age 20 to 64 years and stresses the value of screening in middle-aged women. British Journal of Cancer (2003) 89, 88-93. doi:10.1038/sj.bjc.6600974 www.bjcancer.com More... »

PAGES

88

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.bjc.6600974

DOI

http://dx.doi.org/10.1038/sj.bjc.6600974

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044836408

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12838306


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 Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Factual", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Policy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mass Screening", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Medical Audit", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Medical History Taking", 
        "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": "Practice Guidelines as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United Kingdom", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Uterine Cervical Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vaginal Smears", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Cancer Research UK", 
          "id": "https://www.grid.ac/institutes/grid.11485.39", 
          "name": [
            "Cancer Research UK, Department of Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, London EC1M 6BQ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sasieni", 
        "givenName": "P", 
        "id": "sg:person.01257735610.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257735610.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Research UK", 
          "id": "https://www.grid.ac/institutes/grid.11485.39", 
          "name": [
            "Cancer Research UK, Department of Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, London EC1M 6BQ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Adams", 
        "givenName": "J", 
        "id": "sg:person.01116172313.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116172313.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Research UK", 
          "id": "https://www.grid.ac/institutes/grid.11485.39", 
          "name": [
            "Cancer Research UK, Department of Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, London EC1M 6BQ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cuzick", 
        "givenName": "J", 
        "id": "sg:person.01136740201.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136740201.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1046/j.1365-2303.2000.00269.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002995103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.1546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009171682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2303.2001.00288.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029566248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.293.6548.659", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030672743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(00)04646-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037908433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1996.196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056443386", 
          "https://doi.org/10.1038/bjc.1996.196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1996.196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056443386", 
          "https://doi.org/10.1038/bjc.1996.196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082220600", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003-07", 
    "datePublishedReg": "2003-07-01", 
    "description": "While most experts agree that cervical screening is effective, there remains controversy over the most appropriate screening interval. Annual screening is common in North America. In England, some argue for 3-yearly screening while others believe 5-yearly screening is adequate, and the frequency varies from one part of the country to another. Screening histories of 1305 women aged 20-69 years, diagnosed with frankly invasive cervical cancer and 2532 age-matched controls were obtained from UK screening programme databases. Data were analysed in terms of time since last negative, and time since last screening smear. Five-yearly screening offers considerable protection (83%) against cancer at ages 55-69 years and even annual screening offers only modest additional protection (87%). Three-yearly screening offers additional protection (84%) over 5-yearly screening (73%) for cancers at ages 40-54 years, but is almost as good as annual screening (88%). In women aged 20-39 years, even annual screening is not as effective (76%) as 3-yearly screening in older women, and 3 years after screening cancer rates return to those in unscreened women. This calls into question the policy of having a uniform screening interval from age 20 to 64 years and stresses the value of screening in middle-aged women. British Journal of Cancer (2003) 89, 88-93. doi:10.1038/sj.bjc.6600974 www.bjcancer.com", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sj.bjc.6600974", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "89"
      }
    ], 
    "name": "Benefit of cervical screening at different ages: evidence from the UK audit of screening histories", 
    "pagination": "88", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d591f2ceec75c4a0bc82be751bfdd61bcee6f774ecadc499f5807032affda189"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12838306"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sj.bjc.6600974"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1044836408"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sj.bjc.6600974", 
      "https://app.dimensions.ai/details/publication/pub.1044836408"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:52", 
    "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/v90/0000000359_0000000359/records_29191_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/6600974"
  }
]
 

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/sj.bjc.6600974'

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/sj.bjc.6600974'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6600974'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6600974'


 

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

172 TRIPLES      21 PREDICATES      53 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sj.bjc.6600974 schema:about N02d100bbb27740d8a204eb856a96447a
2 N0f163ddf293c4d3aa1bb72b8bc8ab4bb
3 N2c461ffc19394b8994e28badcc6b0e3d
4 N3556428d7dad49caaa31e150867d41ce
5 N4294ae477c6642de95db86b20a124450
6 N456429e887ff487dbde4cd6a75afb0ed
7 N46fa49e9aaf44afab96feaa1774f664a
8 N4ffe6e2790374d549625a46c68525132
9 N5661302a10c14194a06e6ce92af026d0
10 N747275d947834ebd952fa809312c1702
11 N91d2566ce8d24845a7b08a36854b6e34
12 Nc076161b1f244c50964aea344e83ccb3
13 Nc19811ee86da4bfa80e2d24a7d6abc0a
14 Nccbe13c931d04923918b1762b39edd9d
15 Nd1df88b4e62f4b808acd759fec412d06
16 Nd8cf099910bb4f7aa18dc26c5ea811ce
17 Ne24d8546edf24c4c8ad4878557acd407
18 anzsrc-for:11
19 anzsrc-for:1117
20 schema:author Nb78acc23017c4cb7a02f7d2270493a55
21 schema:citation sg:pub.10.1038/bjc.1996.196
22 https://app.dimensions.ai/details/publication/pub.1082220600
23 https://doi.org/10.1002/ijc.1546
24 https://doi.org/10.1016/s0140-6736(00)04646-8
25 https://doi.org/10.1046/j.1365-2303.2000.00269.x
26 https://doi.org/10.1046/j.1365-2303.2001.00288.x
27 https://doi.org/10.1136/bmj.293.6548.659
28 schema:datePublished 2003-07
29 schema:datePublishedReg 2003-07-01
30 schema:description While most experts agree that cervical screening is effective, there remains controversy over the most appropriate screening interval. Annual screening is common in North America. In England, some argue for 3-yearly screening while others believe 5-yearly screening is adequate, and the frequency varies from one part of the country to another. Screening histories of 1305 women aged 20-69 years, diagnosed with frankly invasive cervical cancer and 2532 age-matched controls were obtained from UK screening programme databases. Data were analysed in terms of time since last negative, and time since last screening smear. Five-yearly screening offers considerable protection (83%) against cancer at ages 55-69 years and even annual screening offers only modest additional protection (87%). Three-yearly screening offers additional protection (84%) over 5-yearly screening (73%) for cancers at ages 40-54 years, but is almost as good as annual screening (88%). In women aged 20-39 years, even annual screening is not as effective (76%) as 3-yearly screening in older women, and 3 years after screening cancer rates return to those in unscreened women. This calls into question the policy of having a uniform screening interval from age 20 to 64 years and stresses the value of screening in middle-aged women. British Journal of Cancer (2003) 89, 88-93. doi:10.1038/sj.bjc.6600974 www.bjcancer.com
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree true
34 schema:isPartOf N1e7ce60d32944c1c8efcb65a6769990d
35 Nb2b274f2464d4e60a093b2762cf5a816
36 sg:journal.1017082
37 schema:name Benefit of cervical screening at different ages: evidence from the UK audit of screening histories
38 schema:pagination 88
39 schema:productId N243eeed3e4604dfdbb930f777a040c25
40 N3cdf7a46d8214c768b764777ad5c94ee
41 N581a4c4c3f0c47a3a2e92a648cc1d275
42 N65b3b1ae6e7a4d459c0a2198c332aae7
43 Ncfad9e2bcda64f6498eafffb8a7d09e5
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044836408
45 https://doi.org/10.1038/sj.bjc.6600974
46 schema:sdDatePublished 2019-04-11T11:52
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher N40cc4badc5fa43718403c97487b27f43
49 schema:url https://www.nature.com/articles/6600974
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N02d100bbb27740d8a204eb856a96447a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
54 schema:name Health Policy
55 rdf:type schema:DefinedTerm
56 N0f163ddf293c4d3aa1bb72b8bc8ab4bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
57 schema:name Practice Guidelines as Topic
58 rdf:type schema:DefinedTerm
59 N1e7ce60d32944c1c8efcb65a6769990d schema:issueNumber 1
60 rdf:type schema:PublicationIssue
61 N243eeed3e4604dfdbb930f777a040c25 schema:name readcube_id
62 schema:value d591f2ceec75c4a0bc82be751bfdd61bcee6f774ecadc499f5807032affda189
63 rdf:type schema:PropertyValue
64 N2c461ffc19394b8994e28badcc6b0e3d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Age Factors
66 rdf:type schema:DefinedTerm
67 N3556428d7dad49caaa31e150867d41ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Adult
69 rdf:type schema:DefinedTerm
70 N3cdf7a46d8214c768b764777ad5c94ee schema:name pubmed_id
71 schema:value 12838306
72 rdf:type schema:PropertyValue
73 N40cc4badc5fa43718403c97487b27f43 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 N4294ae477c6642de95db86b20a124450 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Neoplasm Invasiveness
77 rdf:type schema:DefinedTerm
78 N456429e887ff487dbde4cd6a75afb0ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Humans
80 rdf:type schema:DefinedTerm
81 N46fa49e9aaf44afab96feaa1774f664a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Databases, Factual
83 rdf:type schema:DefinedTerm
84 N4ffe6e2790374d549625a46c68525132 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Middle Aged
86 rdf:type schema:DefinedTerm
87 N5661302a10c14194a06e6ce92af026d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Uterine Cervical Neoplasms
89 rdf:type schema:DefinedTerm
90 N581a4c4c3f0c47a3a2e92a648cc1d275 schema:name nlm_unique_id
91 schema:value 0370635
92 rdf:type schema:PropertyValue
93 N65b3b1ae6e7a4d459c0a2198c332aae7 schema:name doi
94 schema:value 10.1038/sj.bjc.6600974
95 rdf:type schema:PropertyValue
96 N747275d947834ebd952fa809312c1702 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Medical Audit
98 rdf:type schema:DefinedTerm
99 N90267356a56b4779a53e6eb12358b4a8 rdf:first sg:person.01136740201.43
100 rdf:rest rdf:nil
101 N91d2566ce8d24845a7b08a36854b6e34 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name United Kingdom
103 rdf:type schema:DefinedTerm
104 Nb2b274f2464d4e60a093b2762cf5a816 schema:volumeNumber 89
105 rdf:type schema:PublicationVolume
106 Nb36c786fb20d46878bfd9dfb676c0aa2 rdf:first sg:person.01116172313.51
107 rdf:rest N90267356a56b4779a53e6eb12358b4a8
108 Nb78acc23017c4cb7a02f7d2270493a55 rdf:first sg:person.01257735610.85
109 rdf:rest Nb36c786fb20d46878bfd9dfb676c0aa2
110 Nc076161b1f244c50964aea344e83ccb3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Aged
112 rdf:type schema:DefinedTerm
113 Nc19811ee86da4bfa80e2d24a7d6abc0a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Female
115 rdf:type schema:DefinedTerm
116 Nccbe13c931d04923918b1762b39edd9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Medical History Taking
118 rdf:type schema:DefinedTerm
119 Ncfad9e2bcda64f6498eafffb8a7d09e5 schema:name dimensions_id
120 schema:value pub.1044836408
121 rdf:type schema:PropertyValue
122 Nd1df88b4e62f4b808acd759fec412d06 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Vaginal Smears
124 rdf:type schema:DefinedTerm
125 Nd8cf099910bb4f7aa18dc26c5ea811ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Mass Screening
127 rdf:type schema:DefinedTerm
128 Ne24d8546edf24c4c8ad4878557acd407 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Case-Control Studies
130 rdf:type schema:DefinedTerm
131 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
132 schema:name Medical and Health Sciences
133 rdf:type schema:DefinedTerm
134 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
135 schema:name Public Health and Health Services
136 rdf:type schema:DefinedTerm
137 sg:journal.1017082 schema:issn 0007-0920
138 1532-1827
139 schema:name British Journal of Cancer
140 rdf:type schema:Periodical
141 sg:person.01116172313.51 schema:affiliation https://www.grid.ac/institutes/grid.11485.39
142 schema:familyName Adams
143 schema:givenName J
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116172313.51
145 rdf:type schema:Person
146 sg:person.01136740201.43 schema:affiliation https://www.grid.ac/institutes/grid.11485.39
147 schema:familyName Cuzick
148 schema:givenName J
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136740201.43
150 rdf:type schema:Person
151 sg:person.01257735610.85 schema:affiliation https://www.grid.ac/institutes/grid.11485.39
152 schema:familyName Sasieni
153 schema:givenName P
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257735610.85
155 rdf:type schema:Person
156 sg:pub.10.1038/bjc.1996.196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056443386
157 https://doi.org/10.1038/bjc.1996.196
158 rdf:type schema:CreativeWork
159 https://app.dimensions.ai/details/publication/pub.1082220600 schema:CreativeWork
160 https://doi.org/10.1002/ijc.1546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009171682
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/s0140-6736(00)04646-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037908433
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1046/j.1365-2303.2000.00269.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002995103
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1046/j.1365-2303.2001.00288.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029566248
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1136/bmj.293.6548.659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030672743
169 rdf:type schema:CreativeWork
170 https://www.grid.ac/institutes/grid.11485.39 schema:alternateName Cancer Research UK
171 schema:name Cancer Research UK, Department of Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, London EC1M 6BQ, UK
172 rdf:type schema:Organization
 




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


...