Disparities in survival after female breast cancer diagnosis: a population-based study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-09

AUTHORS

Stacey L. Tannenbaum, Tulay Koru-Sengul, Feng Miao, Margaret M. Byrne

ABSTRACT

BACKGROUND: Despite advances in treatment and increased screening, female breast cancer survival is affected by race, ethnicity, and socioeconomic status (SES). The purpose of this study was to substantiate disparities in breast cancer mortality in a large and unique dataset containing 7 distinct racial groups, 31 comorbidities, demographic and clinical/pathological patient characteristics, and neighborhood poverty information. METHODS: Florida Cancer Data System registry (1996-2007) linked with the Agency for Health Care Administration and U.S. Census tract (n = 127,754) explored median survival and 1-, 3-, and 5-year survival rates by the Kaplan-Meier method. Log-rank tests compared survival curves by race/ethnicity/SES. Cox proportional hazards regression models were used to obtain unadjusted and adjusted hazard ratios (HR) and 95% confidence intervals. RESULTS: Native Americans had the lowest median survival (7.4 years) and Asians had the highest (12.6 years). For the univariate analysis, worse survival was seen for blacks (HR = 1.44; p < 0.001) and better survival for Asians (HR = 0.71; p < 0.001), Asian Indians or Pakistanis (HR = 0.65; p = 0.013), and Hispanics (HR = 0.92; p < 0.001). Multivariate analysis demonstrated sustained survival detriment for blacks (HR = 1.28; p < 0.001) and improved survival for Hispanics (HR = 0.90; p = 0.001). For SES, there was an incremental improvement in survival for each higher SES category in all analyses (p < 0.001). CONCLUSIONS: Utilizing a large enriched state cancer registry controlling for multiple demographic, clinical, and comorbidities, we fully explored survival disparities in female breast cancer and found certain aspects of race, ethnicity, and SES to remain significantly associated with breast cancer survival. More research is needed to uncover the source of these ongoing disparities. More... »

PAGES

1705-1715

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10552-013-0246-5

DOI

http://dx.doi.org/10.1007/s10552-013-0246-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027397131

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23775026


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": "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": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Florida", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Status Disparities", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Socioeconomic Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sylvester Comprehensive Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.419791.3", 
          "name": [
            "Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, 33136, Miami, FL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tannenbaum", 
        "givenName": "Stacey L.", 
        "id": "sg:person.01214274574.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214274574.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sylvester Comprehensive Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.419791.3", 
          "name": [
            "Department of Public Health Sciences, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, 33136, Miami, FL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koru-Sengul", 
        "givenName": "Tulay", 
        "id": "sg:person.0751756143.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751756143.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sylvester Comprehensive Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.419791.3", 
          "name": [
            "Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, 33136, Miami, FL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miao", 
        "givenName": "Feng", 
        "id": "sg:person.01030427400.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030427400.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sylvester Comprehensive Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.419791.3", 
          "name": [
            "Department of Public Health Sciences, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, 33136, Miami, FL, USA", 
            "Department of Surgery, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, 33136, Miami, FL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Byrne", 
        "givenName": "Margaret M.", 
        "id": "sg:person.01227427125.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227427125.53"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10552-008-9256-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000168956", 
          "https://doi.org/10.1007/s10552-008-9256-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-008-9256-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000168956", 
          "https://doi.org/10.1007/s10552-008-9256-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-07-0633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003981307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/whe.11.67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006748423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/whe.11.67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006748423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/dji064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008315566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.162.17.1985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019640029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/coc.0b013e3181587890", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023652237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/coc.0b013e3181587890", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023652237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/coc.0b013e3181587890", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023652237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-007-9088-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025618742", 
          "https://doi.org/10.1007/s10552-007-9088-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-007-9088-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025618742", 
          "https://doi.org/10.1007/s10552-007-9088-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.breast.2009.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025622734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.21149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027213871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdr121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031733738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.11160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034026581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.163.1.49", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035418898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(20000101)88:1<114::aid-cncr16>3.0.co;2-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040902671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-011-1899-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041628745", 
          "https://doi.org/10.1007/s10549-011-1899-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.10575", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041740933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.20784", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044644453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.10830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048398342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-011-1362-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050955686", 
          "https://doi.org/10.1007/s10549-011-1362-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jss.2008.05.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051051325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2005.06.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052607460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/jwh.2008.1127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059291122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.2009.176651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068844736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.82.5.703", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068874222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077099588", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-09", 
    "datePublishedReg": "2013-09-01", 
    "description": "BACKGROUND: Despite advances in treatment and increased screening, female breast cancer survival is affected by race, ethnicity, and socioeconomic status (SES). The purpose of this study was to substantiate disparities in breast cancer mortality in a large and unique dataset containing 7 distinct racial groups, 31 comorbidities, demographic and clinical/pathological patient characteristics, and neighborhood poverty information.\nMETHODS: Florida Cancer Data System registry (1996-2007) linked with the Agency for Health Care Administration and U.S. Census tract (n = 127,754) explored median survival and 1-, 3-, and 5-year survival rates by the Kaplan-Meier method. Log-rank tests compared survival curves by race/ethnicity/SES. Cox proportional hazards regression models were used to obtain unadjusted and adjusted hazard ratios (HR) and 95% confidence intervals.\nRESULTS: Native Americans had the lowest median survival (7.4 years) and Asians had the highest (12.6 years). For the univariate analysis, worse survival was seen for blacks (HR = 1.44; p < 0.001) and better survival for Asians (HR = 0.71; p < 0.001), Asian Indians or Pakistanis (HR = 0.65; p = 0.013), and Hispanics (HR = 0.92; p < 0.001). Multivariate analysis demonstrated sustained survival detriment for blacks (HR = 1.28; p < 0.001) and improved survival for Hispanics (HR = 0.90; p = 0.001). For SES, there was an incremental improvement in survival for each higher SES category in all analyses (p < 0.001).\nCONCLUSIONS: Utilizing a large enriched state cancer registry controlling for multiple demographic, clinical, and comorbidities, we fully explored survival disparities in female breast cancer and found certain aspects of race, ethnicity, and SES to remain significantly associated with breast cancer survival. More research is needed to uncover the source of these ongoing disparities.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10552-013-0246-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2699119", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1100917", 
        "issn": [
          "0957-5243", 
          "1573-7225"
        ], 
        "name": "Cancer Causes & Control", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "Disparities in survival after female breast cancer diagnosis: a population-based study", 
    "pagination": "1705-1715", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8282d8d42d2b7501fc7786f405d8f93b256d0d6352d7f0ab190be8914f72312e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23775026"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100846"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10552-013-0246-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027397131"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10552-013-0246-5", 
      "https://app.dimensions.ai/details/publication/pub.1027397131"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:01", 
    "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_00000481.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10552-013-0246-5"
  }
]
 

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/s10552-013-0246-5'

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/s10552-013-0246-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10552-013-0246-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10552-013-0246-5'


 

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

221 TRIPLES      21 PREDICATES      66 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10552-013-0246-5 schema:about N0c31add953b344aeb4a3dbf2fe5cd90e
2 N17db553622da4451972f61c9c14608ce
3 N2dfe4c8998674ecea473e09ae406c59f
4 N482569afd0624be3907479471dad3dc4
5 N49fffec68a554880873807b3889cb2db
6 N5392b78743484e048c5d5288e41fb38c
7 N563a5afc8808492788deb5d5299adc5a
8 N786144ce7e6a407791218b563ea63e91
9 Na2ae5af2238842c2ae134cf14964bb90
10 Nb1bf89cd6e2a4c70afc4d9ce76d453e1
11 Nbe35e73ec9434625a8ab1d156c78e6a3
12 Nd8c30daba8d04a49ae158bef4f185f0d
13 Nf7129526a121492eae88e611982525d3
14 anzsrc-for:11
15 anzsrc-for:1117
16 schema:author N657d3a016f4f4e5c8ef89f8311e126ad
17 schema:citation sg:pub.10.1007/s10549-011-1362-0
18 sg:pub.10.1007/s10549-011-1899-y
19 sg:pub.10.1007/s10552-007-9088-3
20 sg:pub.10.1007/s10552-008-9256-0
21 https://app.dimensions.ai/details/publication/pub.1077099588
22 https://doi.org/10.1001/archinte.162.17.1985
23 https://doi.org/10.1001/archinte.163.1.49
24 https://doi.org/10.1002/(sici)1097-0142(20000101)88:1<114::aid-cncr16>3.0.co;2-j
25 https://doi.org/10.1002/cncr.10575
26 https://doi.org/10.1002/cncr.10830
27 https://doi.org/10.1002/cncr.11160
28 https://doi.org/10.1002/cncr.20784
29 https://doi.org/10.1016/j.breast.2009.12.004
30 https://doi.org/10.1016/j.jss.2008.05.020
31 https://doi.org/10.1016/j.socscimed.2005.06.038
32 https://doi.org/10.1089/jwh.2008.1127
33 https://doi.org/10.1093/annonc/mdr121
34 https://doi.org/10.1093/jnci/dji064
35 https://doi.org/10.1097/coc.0b013e3181587890
36 https://doi.org/10.1158/1055-9965.epi-07-0633
37 https://doi.org/10.2105/ajph.2009.176651
38 https://doi.org/10.2105/ajph.82.5.703
39 https://doi.org/10.2217/whe.11.67
40 https://doi.org/10.3322/caac.21149
41 schema:datePublished 2013-09
42 schema:datePublishedReg 2013-09-01
43 schema:description BACKGROUND: Despite advances in treatment and increased screening, female breast cancer survival is affected by race, ethnicity, and socioeconomic status (SES). The purpose of this study was to substantiate disparities in breast cancer mortality in a large and unique dataset containing 7 distinct racial groups, 31 comorbidities, demographic and clinical/pathological patient characteristics, and neighborhood poverty information. METHODS: Florida Cancer Data System registry (1996-2007) linked with the Agency for Health Care Administration and U.S. Census tract (n = 127,754) explored median survival and 1-, 3-, and 5-year survival rates by the Kaplan-Meier method. Log-rank tests compared survival curves by race/ethnicity/SES. Cox proportional hazards regression models were used to obtain unadjusted and adjusted hazard ratios (HR) and 95% confidence intervals. RESULTS: Native Americans had the lowest median survival (7.4 years) and Asians had the highest (12.6 years). For the univariate analysis, worse survival was seen for blacks (HR = 1.44; p < 0.001) and better survival for Asians (HR = 0.71; p < 0.001), Asian Indians or Pakistanis (HR = 0.65; p = 0.013), and Hispanics (HR = 0.92; p < 0.001). Multivariate analysis demonstrated sustained survival detriment for blacks (HR = 1.28; p < 0.001) and improved survival for Hispanics (HR = 0.90; p = 0.001). For SES, there was an incremental improvement in survival for each higher SES category in all analyses (p < 0.001). CONCLUSIONS: Utilizing a large enriched state cancer registry controlling for multiple demographic, clinical, and comorbidities, we fully explored survival disparities in female breast cancer and found certain aspects of race, ethnicity, and SES to remain significantly associated with breast cancer survival. More research is needed to uncover the source of these ongoing disparities.
44 schema:genre research_article
45 schema:inLanguage en
46 schema:isAccessibleForFree false
47 schema:isPartOf N4156f502fe7f4deab47b56e1073afd7d
48 Nff4e594592154ac8b6554284d8089b00
49 sg:journal.1100917
50 schema:name Disparities in survival after female breast cancer diagnosis: a population-based study
51 schema:pagination 1705-1715
52 schema:productId N2fd3fe91e49a439595ee41a1038d00b5
53 N710577365e234c7aa935f25432643a97
54 Nad3823c389dc467798647aa0f901e6f0
55 Nfbd021543ef5466f9e7a0e7948af45d6
56 Nfcdbcb2bcdbc429ea8285c8503c802cc
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027397131
58 https://doi.org/10.1007/s10552-013-0246-5
59 schema:sdDatePublished 2019-04-10T14:01
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N5563034327394fd29fc20a6b724d9b96
62 schema:url http://link.springer.com/10.1007/s10552-013-0246-5
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N0c31add953b344aeb4a3dbf2fe5cd90e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Female
68 rdf:type schema:DefinedTerm
69 N17db553622da4451972f61c9c14608ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Breast Neoplasms
71 rdf:type schema:DefinedTerm
72 N1f8b07fbe9164680bbf67333825fd12c rdf:first sg:person.01227427125.53
73 rdf:rest rdf:nil
74 N2dfe4c8998674ecea473e09ae406c59f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Aged
76 rdf:type schema:DefinedTerm
77 N2fd3fe91e49a439595ee41a1038d00b5 schema:name nlm_unique_id
78 schema:value 9100846
79 rdf:type schema:PropertyValue
80 N4156f502fe7f4deab47b56e1073afd7d schema:issueNumber 9
81 rdf:type schema:PublicationIssue
82 N482569afd0624be3907479471dad3dc4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Young Adult
84 rdf:type schema:DefinedTerm
85 N49fffec68a554880873807b3889cb2db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Health Status Disparities
87 rdf:type schema:DefinedTerm
88 N5392b78743484e048c5d5288e41fb38c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Socioeconomic Factors
90 rdf:type schema:DefinedTerm
91 N5563034327394fd29fc20a6b724d9b96 schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 N563a5afc8808492788deb5d5299adc5a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Middle Aged
95 rdf:type schema:DefinedTerm
96 N657d3a016f4f4e5c8ef89f8311e126ad rdf:first sg:person.01214274574.02
97 rdf:rest Nc655de599ad748cc98b5c8196f6ab769
98 N710577365e234c7aa935f25432643a97 schema:name pubmed_id
99 schema:value 23775026
100 rdf:type schema:PropertyValue
101 N786144ce7e6a407791218b563ea63e91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Survival Analysis
103 rdf:type schema:DefinedTerm
104 Na2ae5af2238842c2ae134cf14964bb90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Humans
106 rdf:type schema:DefinedTerm
107 Nad3823c389dc467798647aa0f901e6f0 schema:name doi
108 schema:value 10.1007/s10552-013-0246-5
109 rdf:type schema:PropertyValue
110 Nb1bf89cd6e2a4c70afc4d9ce76d453e1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Adult
112 rdf:type schema:DefinedTerm
113 Nbe35e73ec9434625a8ab1d156c78e6a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Aged, 80 and over
115 rdf:type schema:DefinedTerm
116 Nc655de599ad748cc98b5c8196f6ab769 rdf:first sg:person.0751756143.07
117 rdf:rest Ncfcb366cab1446e6ace05669886e92eb
118 Ncfcb366cab1446e6ace05669886e92eb rdf:first sg:person.01030427400.14
119 rdf:rest N1f8b07fbe9164680bbf67333825fd12c
120 Nd8c30daba8d04a49ae158bef4f185f0d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Treatment Outcome
122 rdf:type schema:DefinedTerm
123 Nf7129526a121492eae88e611982525d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Florida
125 rdf:type schema:DefinedTerm
126 Nfbd021543ef5466f9e7a0e7948af45d6 schema:name readcube_id
127 schema:value 8282d8d42d2b7501fc7786f405d8f93b256d0d6352d7f0ab190be8914f72312e
128 rdf:type schema:PropertyValue
129 Nfcdbcb2bcdbc429ea8285c8503c802cc schema:name dimensions_id
130 schema:value pub.1027397131
131 rdf:type schema:PropertyValue
132 Nff4e594592154ac8b6554284d8089b00 schema:volumeNumber 24
133 rdf:type schema:PublicationVolume
134 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
135 schema:name Medical and Health Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
138 schema:name Public Health and Health Services
139 rdf:type schema:DefinedTerm
140 sg:grant.2699119 http://pending.schema.org/fundedItem sg:pub.10.1007/s10552-013-0246-5
141 rdf:type schema:MonetaryGrant
142 sg:journal.1100917 schema:issn 0957-5243
143 1573-7225
144 schema:name Cancer Causes & Control
145 rdf:type schema:Periodical
146 sg:person.01030427400.14 schema:affiliation https://www.grid.ac/institutes/grid.419791.3
147 schema:familyName Miao
148 schema:givenName Feng
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030427400.14
150 rdf:type schema:Person
151 sg:person.01214274574.02 schema:affiliation https://www.grid.ac/institutes/grid.419791.3
152 schema:familyName Tannenbaum
153 schema:givenName Stacey L.
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214274574.02
155 rdf:type schema:Person
156 sg:person.01227427125.53 schema:affiliation https://www.grid.ac/institutes/grid.419791.3
157 schema:familyName Byrne
158 schema:givenName Margaret M.
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227427125.53
160 rdf:type schema:Person
161 sg:person.0751756143.07 schema:affiliation https://www.grid.ac/institutes/grid.419791.3
162 schema:familyName Koru-Sengul
163 schema:givenName Tulay
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751756143.07
165 rdf:type schema:Person
166 sg:pub.10.1007/s10549-011-1362-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050955686
167 https://doi.org/10.1007/s10549-011-1362-0
168 rdf:type schema:CreativeWork
169 sg:pub.10.1007/s10549-011-1899-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1041628745
170 https://doi.org/10.1007/s10549-011-1899-y
171 rdf:type schema:CreativeWork
172 sg:pub.10.1007/s10552-007-9088-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025618742
173 https://doi.org/10.1007/s10552-007-9088-3
174 rdf:type schema:CreativeWork
175 sg:pub.10.1007/s10552-008-9256-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000168956
176 https://doi.org/10.1007/s10552-008-9256-0
177 rdf:type schema:CreativeWork
178 https://app.dimensions.ai/details/publication/pub.1077099588 schema:CreativeWork
179 https://doi.org/10.1001/archinte.162.17.1985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019640029
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1001/archinte.163.1.49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035418898
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1002/(sici)1097-0142(20000101)88:1<114::aid-cncr16>3.0.co;2-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1040902671
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1002/cncr.10575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041740933
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1002/cncr.10830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048398342
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1002/cncr.11160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034026581
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1002/cncr.20784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044644453
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.breast.2009.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025622734
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.jss.2008.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051051325
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.socscimed.2005.06.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052607460
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1089/jwh.2008.1127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059291122
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1093/annonc/mdr121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031733738
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1093/jnci/dji064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008315566
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1097/coc.0b013e3181587890 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023652237
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1158/1055-9965.epi-07-0633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003981307
208 rdf:type schema:CreativeWork
209 https://doi.org/10.2105/ajph.2009.176651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068844736
210 rdf:type schema:CreativeWork
211 https://doi.org/10.2105/ajph.82.5.703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068874222
212 rdf:type schema:CreativeWork
213 https://doi.org/10.2217/whe.11.67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006748423
214 rdf:type schema:CreativeWork
215 https://doi.org/10.3322/caac.21149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027213871
216 rdf:type schema:CreativeWork
217 https://www.grid.ac/institutes/grid.419791.3 schema:alternateName Sylvester Comprehensive Cancer Center
218 schema:name Department of Public Health Sciences, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, 33136, Miami, FL, USA
219 Department of Surgery, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, 33136, Miami, FL, USA
220 Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1120 NW 14th Street, 33136, Miami, FL, USA
221 rdf:type schema:Organization
 




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


...