Trends in cervical cancer incidence and survival in Estonia from 1995 to 2014 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Kristiina Ojamaa, Kaire Innos, Aleksei Baburin, Hele Everaus, Piret Veerus

ABSTRACT

BACKGROUND: Cervical cancer (CC) incidence in Estonia is the third highest in Europe, even though an organised nation-wide screening program has been in place since 2006. The aim of the study was to analyse the incidence and survival of CC in Estonia, focusing on age, morphology and stage at diagnosis. METHODS: Data from Estonian Cancer Registry were used to analyse age-standardized (world) and age-specific incidence for 1968-2014 rates. Joinpoint regression was used to estimate the annual percentage change (APC) for incidence trends. Age-period-cohort model was used to summarise time trends in terms of cohort and period effects. Relative survival ratios (RSR) were calculated for cases diagnosed in 1995-2014. Union for International Cancer Control version 7 of the TNM classification for malignant tumours was used to categorise stage. RESULTS: The age-standardized incidence of CC increased since 1980s at a rate of 0.8% per year. A significant increase was seen for all age groups except for 70+. The incidence of squamous cell carcinoma mimicked the overall trend, while adenocarcinoma showed increase since mid-1990s (APC 6.7). Age-period-cohort modelling showed strong cohort effects with the lowest risk for birth-cohorts born around 1940 and significantly increasing risks for successive cohorts born thereafter. No period effects were seen. The proportion of stage IV cases increased from 13% in 2005-2009 to 18% in 2010-2014. A significant increase was seen in the overall 5-year RSR from 1995 to 1999 to 2010-2014 (58% vs 66%). In 2010-2014, the 5-year RSRs ranged from 89% in women aged 15-39 to 41% in age group 70+. For stages I to IV, the respective RSRs were 98, 74, 57 and 22%. CONCLUSIONS: The inadequate uptake and insufficient quality of the Pap-smear based screening program has not brought along a decline in the incidence of CC in Estonia. Stage distribution has shifted towards later stages. New approaches are needed to prevent CC in Estonia. More... »

PAGES

1075

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12885-018-5006-1

DOI

http://dx.doi.org/10.1186/s12885-018-5006-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109766114

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30404606


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "East Tallinn Central Hospital", 
          "id": "https://www.grid.ac/institutes/grid.454967.d", 
          "name": [
            "Oncology Center, East Tallinn Central Hospital, Ravi 18, 10138, Tallinn, Estonia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ojamaa", 
        "givenName": "Kristiina", 
        "id": "sg:person.07371067275.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07371067275.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health Development", 
          "id": "https://www.grid.ac/institutes/grid.416712.7", 
          "name": [
            "Department of Epidemiology and Biostatistics, National Institute for Health Development, Hiiu 42, 11619, Tallinn, Estonia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Innos", 
        "givenName": "Kaire", 
        "id": "sg:person.01062261265.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062261265.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health Development", 
          "id": "https://www.grid.ac/institutes/grid.416712.7", 
          "name": [
            "Department of Epidemiology and Biostatistics, National Institute for Health Development, Hiiu 42, 11619, Tallinn, Estonia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baburin", 
        "givenName": "Aleksei", 
        "id": "sg:person.014645117755.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014645117755.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tartu University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412269.a", 
          "name": [
            "Haematology-Oncology Clinics, Tartu University Hospital, L. Puusepa 1a, 50406, Tartu, Estonia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Everaus", 
        "givenName": "Hele", 
        "id": "sg:person.01246467726.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246467726.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health Development", 
          "id": "https://www.grid.ac/institutes/grid.416712.7", 
          "name": [
            "Estonian Cancer Screening Registry, National Institute for Health Development, Hiiu 42, 11619, Tallinn, Estonia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Veerus", 
        "givenName": "Piret", 
        "id": "sg:person.01257732141.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257732141.64"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/ijc.30152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000610027"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-05-0231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002247115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.20064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004682031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ypmed.2015.01.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005168176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.2764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005267637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2015.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005964858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ypmed.2016.11.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005998208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-12-1406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007746485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejogrb.2015.04.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007841946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.canep.2016.08.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008247900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2015.07.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011243533"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdg754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014018113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2478/s11536-012-0051-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018135388", 
          "https://doi.org/10.2478/s11536-012-0051-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/02841861003691945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019191946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jcp.55.4.244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022316985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1989.236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022777795", 
          "https://doi.org/10.1038/bjc.1989.236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1989.236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022777795", 
          "https://doi.org/10.1038/bjc.1989.236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2014.02.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022801683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2009.07.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027232986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(16)30275-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029141990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2013.04.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031112509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2004.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031993818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2009.07.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039967400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-014-0392-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042207181", 
          "https://doi.org/10.1007/s10552-014-0392-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2016.290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044198712", 
          "https://doi.org/10.1038/bjc.2016.290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajog.2015.07.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045353394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jjco/hyi125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045403069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-12-992", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048294019", 
          "https://doi.org/10.1186/1471-2458-12-992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(07)61416-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053088664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tac.1974.1100705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061471419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078729638", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2016.12.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083765076"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: Cervical cancer (CC) incidence in Estonia is the third highest in Europe, even though an organised nation-wide screening program has been in place since 2006. The aim of the study was to analyse the incidence and survival of CC in Estonia, focusing on age, morphology and stage at diagnosis.\nMETHODS: Data from Estonian Cancer Registry were used to analyse age-standardized (world) and age-specific incidence for 1968-2014 rates. Joinpoint regression was used to estimate the annual percentage change (APC) for incidence trends. Age-period-cohort model was used to summarise time trends in terms of cohort and period effects. Relative survival ratios (RSR) were calculated for cases diagnosed in 1995-2014. Union for International Cancer Control version 7 of the TNM classification for malignant tumours was used to categorise stage.\nRESULTS: The age-standardized incidence of CC increased since 1980s at a rate of 0.8% per year. A significant increase was seen for all age groups except for 70+. The incidence of squamous cell carcinoma mimicked the overall trend, while adenocarcinoma showed increase since mid-1990s (APC 6.7). Age-period-cohort modelling showed strong cohort effects with the lowest risk for birth-cohorts born around 1940 and significantly increasing risks for successive cohorts born thereafter. No period effects were seen. The proportion of stage IV cases increased from 13% in 2005-2009 to 18% in 2010-2014. A significant increase was seen in the overall 5-year RSR from 1995 to 1999 to 2010-2014 (58% vs 66%). In 2010-2014, the 5-year RSRs ranged from 89% in women aged 15-39 to 41% in age group 70+. For stages I to IV, the respective RSRs were 98, 74, 57 and 22%.\nCONCLUSIONS: The inadequate uptake and insufficient quality of the Pap-smear based screening program has not brought along a decline in the incidence of CC in Estonia. Stage distribution has shifted towards later stages. New approaches are needed to prevent CC in Estonia.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12885-018-5006-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4884985", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024632", 
        "issn": [
          "1471-2407"
        ], 
        "name": "BMC Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Trends in cervical cancer incidence and survival in Estonia from 1995 to 2014", 
    "pagination": "1075", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fa90ab89834d4cf8ee5fbd5f10756b304f457f1aef9e284210b52d5899436e0d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30404606"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100967800"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12885-018-5006-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1109766114"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12885-018-5006-1", 
      "https://app.dimensions.ai/details/publication/pub.1109766114"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:09", 
    "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/v90/0000000267_0000000267/records_56126_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12885-018-5006-1"
  }
]
 

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.10.1186/s12885-018-5006-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-5006-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-5006-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-5006-1'


 

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

202 TRIPLES      21 PREDICATES      60 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12885-018-5006-1 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N7d9d4b6a12904a85be8eeb34545d7e4a
4 schema:citation sg:pub.10.1007/s10552-014-0392-4
5 sg:pub.10.1038/bjc.1989.236
6 sg:pub.10.1038/bjc.2016.290
7 sg:pub.10.1186/1471-2458-12-992
8 sg:pub.10.2478/s11536-012-0051-7
9 https://app.dimensions.ai/details/publication/pub.1078729638
10 https://doi.org/10.1002/cncr.20064
11 https://doi.org/10.1002/ijc.30152
12 https://doi.org/10.1002/sim.2764
13 https://doi.org/10.1016/j.ajog.2015.07.012
14 https://doi.org/10.1016/j.canep.2016.08.014
15 https://doi.org/10.1016/j.ejca.2004.07.002
16 https://doi.org/10.1016/j.ejca.2009.07.017
17 https://doi.org/10.1016/j.ejca.2009.07.018
18 https://doi.org/10.1016/j.ejca.2013.04.024
19 https://doi.org/10.1016/j.ejca.2015.03.008
20 https://doi.org/10.1016/j.ejca.2015.07.022
21 https://doi.org/10.1016/j.ejca.2016.12.021
22 https://doi.org/10.1016/j.ejogrb.2015.04.007
23 https://doi.org/10.1016/j.ygyno.2014.02.037
24 https://doi.org/10.1016/j.ypmed.2015.01.034
25 https://doi.org/10.1016/j.ypmed.2016.11.018
26 https://doi.org/10.1016/s0140-6736(07)61416-0
27 https://doi.org/10.1016/s1470-2045(16)30275-3
28 https://doi.org/10.1093/annonc/mdg754
29 https://doi.org/10.1093/jjco/hyi125
30 https://doi.org/10.1109/tac.1974.1100705
31 https://doi.org/10.1136/jcp.55.4.244
32 https://doi.org/10.1158/1055-9965.epi-05-0231
33 https://doi.org/10.1158/1055-9965.epi-12-1406
34 https://doi.org/10.3109/02841861003691945
35 schema:datePublished 2018-12
36 schema:datePublishedReg 2018-12-01
37 schema:description BACKGROUND: Cervical cancer (CC) incidence in Estonia is the third highest in Europe, even though an organised nation-wide screening program has been in place since 2006. The aim of the study was to analyse the incidence and survival of CC in Estonia, focusing on age, morphology and stage at diagnosis. METHODS: Data from Estonian Cancer Registry were used to analyse age-standardized (world) and age-specific incidence for 1968-2014 rates. Joinpoint regression was used to estimate the annual percentage change (APC) for incidence trends. Age-period-cohort model was used to summarise time trends in terms of cohort and period effects. Relative survival ratios (RSR) were calculated for cases diagnosed in 1995-2014. Union for International Cancer Control version 7 of the TNM classification for malignant tumours was used to categorise stage. RESULTS: The age-standardized incidence of CC increased since 1980s at a rate of 0.8% per year. A significant increase was seen for all age groups except for 70+. The incidence of squamous cell carcinoma mimicked the overall trend, while adenocarcinoma showed increase since mid-1990s (APC 6.7). Age-period-cohort modelling showed strong cohort effects with the lowest risk for birth-cohorts born around 1940 and significantly increasing risks for successive cohorts born thereafter. No period effects were seen. The proportion of stage IV cases increased from 13% in 2005-2009 to 18% in 2010-2014. A significant increase was seen in the overall 5-year RSR from 1995 to 1999 to 2010-2014 (58% vs 66%). In 2010-2014, the 5-year RSRs ranged from 89% in women aged 15-39 to 41% in age group 70+. For stages I to IV, the respective RSRs were 98, 74, 57 and 22%. CONCLUSIONS: The inadequate uptake and insufficient quality of the Pap-smear based screening program has not brought along a decline in the incidence of CC in Estonia. Stage distribution has shifted towards later stages. New approaches are needed to prevent CC in Estonia.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree true
41 schema:isPartOf N4471f8fadc814edabea4411a58b16376
42 Na486ae6b2da54b609fe410ce21c0f7b7
43 sg:journal.1024632
44 schema:name Trends in cervical cancer incidence and survival in Estonia from 1995 to 2014
45 schema:pagination 1075
46 schema:productId N511f5a1a200e4ab48e31df371dffdec3
47 N52009d04121f4c5ebd8c79445ceac4fc
48 Ndaee7ec5cae84ce58fd217d86425b2e7
49 Nea15cac5712e4b42bc1855658c5f7bd9
50 Nf66fdd0a4ce74ba1958728dd9f9535f2
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109766114
52 https://doi.org/10.1186/s12885-018-5006-1
53 schema:sdDatePublished 2019-04-11T08:09
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N79f93c2074ed445b94afd7027f4854d3
56 schema:url https://link.springer.com/10.1186%2Fs12885-018-5006-1
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N03ba31878acd4d3c9994b8a45b08e2dc rdf:first sg:person.014645117755.13
61 rdf:rest Nf3b833d5a6454a9a892904fbe137c9fc
62 N3323609da207466c8e4f8a9d2cd751f5 rdf:first sg:person.01062261265.83
63 rdf:rest N03ba31878acd4d3c9994b8a45b08e2dc
64 N4471f8fadc814edabea4411a58b16376 schema:issueNumber 1
65 rdf:type schema:PublicationIssue
66 N511f5a1a200e4ab48e31df371dffdec3 schema:name doi
67 schema:value 10.1186/s12885-018-5006-1
68 rdf:type schema:PropertyValue
69 N52009d04121f4c5ebd8c79445ceac4fc schema:name readcube_id
70 schema:value fa90ab89834d4cf8ee5fbd5f10756b304f457f1aef9e284210b52d5899436e0d
71 rdf:type schema:PropertyValue
72 N79f93c2074ed445b94afd7027f4854d3 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 N7d9d4b6a12904a85be8eeb34545d7e4a rdf:first sg:person.07371067275.38
75 rdf:rest N3323609da207466c8e4f8a9d2cd751f5
76 Na486ae6b2da54b609fe410ce21c0f7b7 schema:volumeNumber 18
77 rdf:type schema:PublicationVolume
78 Nd29b56ffa0754bd08b56573da379e0e8 rdf:first sg:person.01257732141.64
79 rdf:rest rdf:nil
80 Ndaee7ec5cae84ce58fd217d86425b2e7 schema:name nlm_unique_id
81 schema:value 100967800
82 rdf:type schema:PropertyValue
83 Nea15cac5712e4b42bc1855658c5f7bd9 schema:name pubmed_id
84 schema:value 30404606
85 rdf:type schema:PropertyValue
86 Nf3b833d5a6454a9a892904fbe137c9fc rdf:first sg:person.01246467726.08
87 rdf:rest Nd29b56ffa0754bd08b56573da379e0e8
88 Nf66fdd0a4ce74ba1958728dd9f9535f2 schema:name dimensions_id
89 schema:value pub.1109766114
90 rdf:type schema:PropertyValue
91 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
92 schema:name Medical and Health Sciences
93 rdf:type schema:DefinedTerm
94 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
95 schema:name Public Health and Health Services
96 rdf:type schema:DefinedTerm
97 sg:grant.4884985 http://pending.schema.org/fundedItem sg:pub.10.1186/s12885-018-5006-1
98 rdf:type schema:MonetaryGrant
99 sg:journal.1024632 schema:issn 1471-2407
100 schema:name BMC Cancer
101 rdf:type schema:Periodical
102 sg:person.01062261265.83 schema:affiliation https://www.grid.ac/institutes/grid.416712.7
103 schema:familyName Innos
104 schema:givenName Kaire
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062261265.83
106 rdf:type schema:Person
107 sg:person.01246467726.08 schema:affiliation https://www.grid.ac/institutes/grid.412269.a
108 schema:familyName Everaus
109 schema:givenName Hele
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246467726.08
111 rdf:type schema:Person
112 sg:person.01257732141.64 schema:affiliation https://www.grid.ac/institutes/grid.416712.7
113 schema:familyName Veerus
114 schema:givenName Piret
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257732141.64
116 rdf:type schema:Person
117 sg:person.014645117755.13 schema:affiliation https://www.grid.ac/institutes/grid.416712.7
118 schema:familyName Baburin
119 schema:givenName Aleksei
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014645117755.13
121 rdf:type schema:Person
122 sg:person.07371067275.38 schema:affiliation https://www.grid.ac/institutes/grid.454967.d
123 schema:familyName Ojamaa
124 schema:givenName Kristiina
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07371067275.38
126 rdf:type schema:Person
127 sg:pub.10.1007/s10552-014-0392-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042207181
128 https://doi.org/10.1007/s10552-014-0392-4
129 rdf:type schema:CreativeWork
130 sg:pub.10.1038/bjc.1989.236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022777795
131 https://doi.org/10.1038/bjc.1989.236
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/bjc.2016.290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044198712
134 https://doi.org/10.1038/bjc.2016.290
135 rdf:type schema:CreativeWork
136 sg:pub.10.1186/1471-2458-12-992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048294019
137 https://doi.org/10.1186/1471-2458-12-992
138 rdf:type schema:CreativeWork
139 sg:pub.10.2478/s11536-012-0051-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018135388
140 https://doi.org/10.2478/s11536-012-0051-7
141 rdf:type schema:CreativeWork
142 https://app.dimensions.ai/details/publication/pub.1078729638 schema:CreativeWork
143 https://doi.org/10.1002/cncr.20064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004682031
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1002/ijc.30152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000610027
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1002/sim.2764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005267637
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.ajog.2015.07.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045353394
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.canep.2016.08.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008247900
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.ejca.2004.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031993818
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.ejca.2009.07.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027232986
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.ejca.2009.07.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039967400
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.ejca.2013.04.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031112509
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.ejca.2015.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005964858
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.ejca.2015.07.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011243533
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.ejca.2016.12.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083765076
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.ejogrb.2015.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007841946
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.ygyno.2014.02.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022801683
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.ypmed.2015.01.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005168176
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.ypmed.2016.11.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005998208
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/s0140-6736(07)61416-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053088664
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/s1470-2045(16)30275-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029141990
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1093/annonc/mdg754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014018113
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1093/jjco/hyi125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045403069
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1109/tac.1974.1100705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061471419
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1136/jcp.55.4.244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022316985
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1158/1055-9965.epi-05-0231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002247115
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1158/1055-9965.epi-12-1406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007746485
190 rdf:type schema:CreativeWork
191 https://doi.org/10.3109/02841861003691945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019191946
192 rdf:type schema:CreativeWork
193 https://www.grid.ac/institutes/grid.412269.a schema:alternateName Tartu University Hospital
194 schema:name Haematology-Oncology Clinics, Tartu University Hospital, L. Puusepa 1a, 50406, Tartu, Estonia
195 rdf:type schema:Organization
196 https://www.grid.ac/institutes/grid.416712.7 schema:alternateName National Institute for Health Development
197 schema:name Department of Epidemiology and Biostatistics, National Institute for Health Development, Hiiu 42, 11619, Tallinn, Estonia
198 Estonian Cancer Screening Registry, National Institute for Health Development, Hiiu 42, 11619, Tallinn, Estonia
199 rdf:type schema:Organization
200 https://www.grid.ac/institutes/grid.454967.d schema:alternateName East Tallinn Central Hospital
201 schema:name Oncology Center, East Tallinn Central Hospital, Ravi 18, 10138, Tallinn, Estonia
202 rdf:type schema:Organization
 




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


...