Challenges in assessing the real incidence of chronic lymphocytic leukemia: 16 years of epidemiological data from the province of Girona, ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03

AUTHORS

Marta Solans, Gemma Osca-Gelis, Raquel Comas, Josep Maria Roncero, David Gallardo, Rafael Marcos-Gragera, Marc Saez

ABSTRACT

Determining chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL) incidence is challenging for two reasons: cancer registries tend to underreport CLL cases and its diagnostic criteria changed markedly in 2008. No studies have reported incidence rates dealing with both difficulties, and thus CLL/SLL burden in Europe is currently uncertain. Herein, we present accurate CLL/SLL incidence in a Spanish region during 1998-2013, using the population-based Girona Cancer Registry (GCR). We detected an 18.2% under-reporting of CLL/SLL cases when combining records from the GCR and additional information sources (i.e., records of flow cytometry laboratories, hospital registries and hematologists' databases). In addition, age-adjusted rates (using the 2013 European population) changed from 7.57 (95% CI 6.87; 8.30) in 1998-2008 to 6.35 (95% CI 5.51; 7.30) in 2009-2013. Overall, completeness of CLL/SLL data requires accurate diagnosis and reporting of cases. Revision of cancer registry operations to include CLL/SLL-specific surveillance is likely to ensure that the monitoring of this malignancy is entirely accurate. More... »

PAGES

379-382

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10552-018-1004-5

DOI

http://dx.doi.org/10.1007/s10552-018-1004-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100718149

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29383469


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": "Institut Catal\u00e0 d'Oncologia", 
          "id": "https://www.grid.ac/institutes/grid.418701.b", 
          "name": [
            "Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Madrid, Spain", 
            "Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Campus de Montilivi, Carrer de la Universitat de Girona 10, 17003, Girona, Spain", 
            "Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Solans", 
        "givenName": "Marta", 
        "id": "sg:person.016222413607.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016222413607.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Catal\u00e0 d'Oncologia", 
          "id": "https://www.grid.ac/institutes/grid.418701.b", 
          "name": [
            "Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osca-Gelis", 
        "givenName": "Gemma", 
        "id": "sg:person.01242673633.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242673633.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Catal\u00e0 d'Oncologia", 
          "id": "https://www.grid.ac/institutes/grid.418701.b", 
          "name": [
            "Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Comas", 
        "givenName": "Raquel", 
        "id": "sg:person.011707664007.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011707664007.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Catal\u00e0 d'Oncologia", 
          "id": "https://www.grid.ac/institutes/grid.418701.b", 
          "name": [
            "Haematological Service, University Hospital Dr. Josep Trueta, Catalan Institute of Oncology, Girona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roncero", 
        "givenName": "Josep Maria", 
        "id": "sg:person.011673003134.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011673003134.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Catal\u00e0 d'Oncologia", 
          "id": "https://www.grid.ac/institutes/grid.418701.b", 
          "name": [
            "Haematological Service, University Hospital Dr. Josep Trueta, Catalan Institute of Oncology, Girona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gallardo", 
        "givenName": "David", 
        "id": "sg:person.0707013470.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707013470.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Catal\u00e0 d'Oncologia", 
          "id": "https://www.grid.ac/institutes/grid.418701.b", 
          "name": [
            "Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Campus de Montilivi, Carrer de la Universitat de Girona 10, 17003, Girona, Spain", 
            "Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marcos-Gragera", 
        "givenName": "Rafael", 
        "id": "sg:person.01003002477.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003002477.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Girona", 
          "id": "https://www.grid.ac/institutes/grid.5319.e", 
          "name": [
            "Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Madrid, Spain", 
            "Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Campus de Montilivi, Carrer de la Universitat de Girona 10, 17003, Girona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saez", 
        "givenName": "Marc", 
        "id": "sg:person.0631230761.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631230761.31"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/ijc.22912", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002168341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.21357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002739963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.21357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002739963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2015-02-585059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014665227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2011.06.053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014941316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.leukres.2009.06.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023923927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2010-05-282632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030510291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(20010901)92:5<1325::aid-cncr1454>3.0.co;2-e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031535352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.leukres.2015.01.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031603279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2007-12-129379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035102521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.28690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040139434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2008.21.2704", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041226601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cam4.849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043924672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2147/clep.s99486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046933639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1586/17474086.2014.954542", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053263677"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-03", 
    "datePublishedReg": "2018-03-01", 
    "description": "Determining chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL) incidence is challenging for two reasons: cancer registries tend to underreport CLL cases and its diagnostic criteria changed markedly in 2008. No studies have reported incidence rates dealing with both difficulties, and thus CLL/SLL burden in Europe is currently uncertain. Herein, we present accurate CLL/SLL incidence in a Spanish region during 1998-2013, using the population-based Girona Cancer Registry (GCR). We detected an 18.2% under-reporting of CLL/SLL cases when combining records from the GCR and additional information sources (i.e., records of flow cytometry laboratories, hospital registries and hematologists' databases). In addition, age-adjusted rates (using the 2013 European population) changed from 7.57 (95% CI 6.87; 8.30)\u00a0in 1998-2008 to 6.35 (95% CI 5.51; 7.30)\u00a0in 2009-2013.\u00a0Overall, completeness of CLL/SLL data requires accurate diagnosis and reporting of cases. Revision of cancer registry operations to include CLL/SLL-specific surveillance is likely to ensure that the monitoring of this malignancy is entirely accurate.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10552-018-1004-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1100917", 
        "issn": [
          "0957-5243", 
          "1573-7225"
        ], 
        "name": "Cancer Causes & Control", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "Challenges in assessing the real incidence of chronic lymphocytic leukemia: 16 years of epidemiological data from the province of Girona, Spain", 
    "pagination": "379-382", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b2336947925819700dc48749a4a5dcfc7637a9001bff5c72f8cccbf8fc3e00fc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29383469"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100846"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10552-018-1004-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100718149"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10552-018-1004-5", 
      "https://app.dimensions.ai/details/publication/pub.1100718149"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:20", 
    "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_8693_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10552-018-1004-5"
  }
]
 

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/s10552-018-1004-5'

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/s10552-018-1004-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10552-018-1004-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10552-018-1004-5'


 

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

160 TRIPLES      21 PREDICATES      43 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10552-018-1004-5 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N10ad5a3362294a5596e7745430176e78
4 schema:citation https://doi.org/10.1002/1097-0142(20010901)92:5<1325::aid-cncr1454>3.0.co;2-e
5 https://doi.org/10.1002/cam4.849
6 https://doi.org/10.1002/cncr.28690
7 https://doi.org/10.1002/ijc.22912
8 https://doi.org/10.1016/j.ejca.2011.06.053
9 https://doi.org/10.1016/j.leukres.2009.06.013
10 https://doi.org/10.1016/j.leukres.2015.01.015
11 https://doi.org/10.1182/blood-2007-12-129379
12 https://doi.org/10.1182/blood-2010-05-282632
13 https://doi.org/10.1182/blood-2015-02-585059
14 https://doi.org/10.1200/jco.2008.21.2704
15 https://doi.org/10.1586/17474086.2014.954542
16 https://doi.org/10.2147/clep.s99486
17 https://doi.org/10.3322/caac.21357
18 schema:datePublished 2018-03
19 schema:datePublishedReg 2018-03-01
20 schema:description Determining chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL) incidence is challenging for two reasons: cancer registries tend to underreport CLL cases and its diagnostic criteria changed markedly in 2008. No studies have reported incidence rates dealing with both difficulties, and thus CLL/SLL burden in Europe is currently uncertain. Herein, we present accurate CLL/SLL incidence in a Spanish region during 1998-2013, using the population-based Girona Cancer Registry (GCR). We detected an 18.2% under-reporting of CLL/SLL cases when combining records from the GCR and additional information sources (i.e., records of flow cytometry laboratories, hospital registries and hematologists' databases). In addition, age-adjusted rates (using the 2013 European population) changed from 7.57 (95% CI 6.87; 8.30) in 1998-2008 to 6.35 (95% CI 5.51; 7.30) in 2009-2013. Overall, completeness of CLL/SLL data requires accurate diagnosis and reporting of cases. Revision of cancer registry operations to include CLL/SLL-specific surveillance is likely to ensure that the monitoring of this malignancy is entirely accurate.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N1fe020159b0f4a559ffa45821f9ea561
25 Nde28b99e755f452bb93245f44fbc776a
26 sg:journal.1100917
27 schema:name Challenges in assessing the real incidence of chronic lymphocytic leukemia: 16 years of epidemiological data from the province of Girona, Spain
28 schema:pagination 379-382
29 schema:productId N28e826a70d85439e8b0984ffed27b4c2
30 N2d82e2ce90014d359c7a8473ef16fe98
31 N6fa0f116cb534d428ed22fbade9e49ef
32 N989f41ce238346c5ae424a82f9854d81
33 Nf0b24913bc7340a495088db8cfc3e4a1
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100718149
35 https://doi.org/10.1007/s10552-018-1004-5
36 schema:sdDatePublished 2019-04-10T23:20
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Ne40a4e90ec444289b15af5ef5e53e959
39 schema:url http://link.springer.com/10.1007/s10552-018-1004-5
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N10ad5a3362294a5596e7745430176e78 rdf:first sg:person.016222413607.68
44 rdf:rest Nd0c34ba638fa49468aa0bc711e8be30e
45 N1b6c03965fd042db872b5c1c3a52ff7f rdf:first sg:person.011673003134.50
46 rdf:rest N9ec76d5c5ec346838c8d004f983bcb52
47 N1fe020159b0f4a559ffa45821f9ea561 schema:issueNumber 3
48 rdf:type schema:PublicationIssue
49 N2629b8fb1c1e4adf94a465bf36ef2b57 rdf:first sg:person.0631230761.31
50 rdf:rest rdf:nil
51 N28e826a70d85439e8b0984ffed27b4c2 schema:name dimensions_id
52 schema:value pub.1100718149
53 rdf:type schema:PropertyValue
54 N2d82e2ce90014d359c7a8473ef16fe98 schema:name pubmed_id
55 schema:value 29383469
56 rdf:type schema:PropertyValue
57 N6fa0f116cb534d428ed22fbade9e49ef schema:name readcube_id
58 schema:value b2336947925819700dc48749a4a5dcfc7637a9001bff5c72f8cccbf8fc3e00fc
59 rdf:type schema:PropertyValue
60 N989f41ce238346c5ae424a82f9854d81 schema:name doi
61 schema:value 10.1007/s10552-018-1004-5
62 rdf:type schema:PropertyValue
63 N9ec76d5c5ec346838c8d004f983bcb52 rdf:first sg:person.0707013470.18
64 rdf:rest N9f2465d3346f4a6ba4dab5b3cf61d66b
65 N9f2465d3346f4a6ba4dab5b3cf61d66b rdf:first sg:person.01003002477.55
66 rdf:rest N2629b8fb1c1e4adf94a465bf36ef2b57
67 Nd0773ff1898a447bb0130e3be7653762 rdf:first sg:person.011707664007.31
68 rdf:rest N1b6c03965fd042db872b5c1c3a52ff7f
69 Nd0c34ba638fa49468aa0bc711e8be30e rdf:first sg:person.01242673633.66
70 rdf:rest Nd0773ff1898a447bb0130e3be7653762
71 Nde28b99e755f452bb93245f44fbc776a schema:volumeNumber 29
72 rdf:type schema:PublicationVolume
73 Ne40a4e90ec444289b15af5ef5e53e959 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 Nf0b24913bc7340a495088db8cfc3e4a1 schema:name nlm_unique_id
76 schema:value 9100846
77 rdf:type schema:PropertyValue
78 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
79 schema:name Medical and Health Sciences
80 rdf:type schema:DefinedTerm
81 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
82 schema:name Public Health and Health Services
83 rdf:type schema:DefinedTerm
84 sg:journal.1100917 schema:issn 0957-5243
85 1573-7225
86 schema:name Cancer Causes & Control
87 rdf:type schema:Periodical
88 sg:person.01003002477.55 schema:affiliation https://www.grid.ac/institutes/grid.418701.b
89 schema:familyName Marcos-Gragera
90 schema:givenName Rafael
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003002477.55
92 rdf:type schema:Person
93 sg:person.011673003134.50 schema:affiliation https://www.grid.ac/institutes/grid.418701.b
94 schema:familyName Roncero
95 schema:givenName Josep Maria
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011673003134.50
97 rdf:type schema:Person
98 sg:person.011707664007.31 schema:affiliation https://www.grid.ac/institutes/grid.418701.b
99 schema:familyName Comas
100 schema:givenName Raquel
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011707664007.31
102 rdf:type schema:Person
103 sg:person.01242673633.66 schema:affiliation https://www.grid.ac/institutes/grid.418701.b
104 schema:familyName Osca-Gelis
105 schema:givenName Gemma
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242673633.66
107 rdf:type schema:Person
108 sg:person.016222413607.68 schema:affiliation https://www.grid.ac/institutes/grid.418701.b
109 schema:familyName Solans
110 schema:givenName Marta
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016222413607.68
112 rdf:type schema:Person
113 sg:person.0631230761.31 schema:affiliation https://www.grid.ac/institutes/grid.5319.e
114 schema:familyName Saez
115 schema:givenName Marc
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631230761.31
117 rdf:type schema:Person
118 sg:person.0707013470.18 schema:affiliation https://www.grid.ac/institutes/grid.418701.b
119 schema:familyName Gallardo
120 schema:givenName David
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707013470.18
122 rdf:type schema:Person
123 https://doi.org/10.1002/1097-0142(20010901)92:5<1325::aid-cncr1454>3.0.co;2-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1031535352
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1002/cam4.849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043924672
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1002/cncr.28690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040139434
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1002/ijc.22912 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002168341
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.ejca.2011.06.053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014941316
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.leukres.2009.06.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023923927
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.leukres.2015.01.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031603279
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1182/blood-2007-12-129379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035102521
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1182/blood-2010-05-282632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030510291
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1182/blood-2015-02-585059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014665227
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1200/jco.2008.21.2704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041226601
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1586/17474086.2014.954542 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053263677
146 rdf:type schema:CreativeWork
147 https://doi.org/10.2147/clep.s99486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046933639
148 rdf:type schema:CreativeWork
149 https://doi.org/10.3322/caac.21357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002739963
150 rdf:type schema:CreativeWork
151 https://www.grid.ac/institutes/grid.418701.b schema:alternateName Institut Català d'Oncologia
152 schema:name Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Madrid, Spain
153 Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain
154 Haematological Service, University Hospital Dr. Josep Trueta, Catalan Institute of Oncology, Girona, Spain
155 Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Campus de Montilivi, Carrer de la Universitat de Girona 10, 17003, Girona, Spain
156 rdf:type schema:Organization
157 https://www.grid.ac/institutes/grid.5319.e schema:alternateName University of Girona
158 schema:name Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Madrid, Spain
159 Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Campus de Montilivi, Carrer de la Universitat de Girona 10, 17003, Girona, Spain
160 rdf:type schema:Organization
 




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


...