Implementation of the 21-gene recurrence score test in the United States in 2011 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-10

AUTHORS

Julie A. Lynch, Brygida Berse, Valentina Petkov, Kelly Filipski, Yingjun Zhou, Muin J. Khoury, Michael Hassett, Andrew N. Freedman

ABSTRACT

PURPOSE: We examined hospital use of the 21-gene breast cancer test in the United States. We report state-level differences in utilization and propose a model for predicting implementation of guideline-recommended genomic testing. METHODS: Genomic Health provided test orders for calendar year 2011.We summarized utilization at the hospital and state levels. Using logistic regression, we analyzed the association between the likelihood to order the test and the hospital's institutional and regional characteristics. RESULTS: In 2011, 45% of 4,712 acute-care hospitals ordered the test, which suggests that 25% of newly diagnosed invasive female breast cancer cases were tested. Significant predictors of testing included participation in National Cancer Institute (NCI) clinical research cooperative groups (odds ratio (OR) 3.73; 95% confidence interval, 2.96-4.70), advanced imaging (OR, 2.19; CI, 1.78-2.68), high-complexity laboratory (OR, 2.15; CI, 1.24-3.70), affiliation with a medical school (OR, 1.57; CI, 1.31-1.88), and reconstructive surgery (OR, 1.23; CI, 1.01-1.50). Significant regional predictors included metropolitan county (OR, 3.77; CI, 2.83-5.03), above-mean income (OR, 1.37; CI, 1.11-1.69), and education (OR, 1.26; CI, 1.03-1.54). Negative predictors included designation as a critical-access hospital (OR, 0.10; CI, 0.07-0.14) and distance from an NCI cancer center (OR, 0.998; CI, 0.997-0.999), with a 15% decrease in likelihood for every 100 miles. CONCLUSION: Despite considerable market penetration of the test, there are significant regional and site-of-care differences in implementation, particularly in rural states.Genet Med 18 10, 982-990. More... »

PAGES

982

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/gim.2015.218

DOI

http://dx.doi.org/10.1038/gim.2015.218

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011178136

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26890451


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": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Testing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "National Cancer Institute (U.S.)", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Recurrence, Local", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United States", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "RTI International", 
          "id": "https://www.grid.ac/institutes/grid.62562.35", 
          "name": [
            "VA Salt Lake City Health Care System, Salt Lake City, Utah, USA", 
            "RTI International, Research Triangle Park, Durham, North Carolina, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lynch", 
        "givenName": "Julie A.", 
        "id": "sg:person.0674353541.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674353541.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "White River Junction VA Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413726.5", 
          "name": [
            "RTI International, Research Triangle Park, Durham, North Carolina, USA", 
            "Boston University School of Medicine, Boston, Massachusetts, USA", 
            "Veterans Health Administration, Bedford, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berse", 
        "givenName": "Brygida", 
        "id": "sg:person.01167017526.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167017526.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Petkov", 
        "givenName": "Valentina", 
        "id": "sg:person.014235714045.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014235714045.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Filipski", 
        "givenName": "Kelly", 
        "id": "sg:person.01157223552.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157223552.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Yingjun", 
        "id": "sg:person.012204616665.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012204616665.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health", 
          "id": "https://www.grid.ac/institutes/grid.94365.3d", 
          "name": [
            "Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA", 
            "Epidemiology and Genomics Research Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khoury", 
        "givenName": "Muin J.", 
        "id": "sg:person.0745141262.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745141262.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dana\u2013Farber Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.65499.37", 
          "name": [
            "Dana Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hassett", 
        "givenName": "Michael", 
        "id": "sg:person.0740262273.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740262273.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.48336.3a", 
          "name": [
            "National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Freedman", 
        "givenName": "Andrew N.", 
        "id": "sg:person.01065072714.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065072714.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1586/14737159.2015.983476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001208841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-013-2559-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002355079", 
          "https://doi.org/10.1007/s10549-013-2559-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-013-2559-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002355079", 
          "https://doi.org/10.1007/s10549-013-2559-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/dju055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002397396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.22618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005674252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/tbj.12099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010816907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-010-1329-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015355504", 
          "https://doi.org/10.1007/s10549-010-1329-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(11)61625-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016340431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djv048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017461681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.38.5740", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017478810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jamaoncol.2015.43", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019789895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa041588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022156409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11864-015-0340-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024086498", 
          "https://doi.org/10.1007/s11864-015-0340-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr3462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029934970", 
          "https://doi.org/10.1186/bcr3462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djs261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031533266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1586/erp.13.4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032495468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1309/4wv79n2ghj3x1841", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032640974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr2261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033993025", 
          "https://doi.org/10.1186/bcr2261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrclinonc.2011.19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034766349", 
          "https://doi.org/10.1038/nrclinonc.2011.19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1510764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036616787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr1412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038723589", 
          "https://doi.org/10.1186/bcr1412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr1412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038723589", 
          "https://doi.org/10.1186/bcr1412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2015/813456", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038779121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.295.21.2492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043089674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000353518", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043480051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1078155212474047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044625384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1078155212474047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044625384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/whe.10.25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048121492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/whe.10.25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048121492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10903-012-9577-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049169533", 
          "https://doi.org/10.1007/s10903-012-9577-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/gim.2013.5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051257040", 
          "https://doi.org/10.1038/gim.2013.5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2013/653805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052024674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e3181976829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053351798", 
          "https://doi.org/10.1097/gim.0b013e3181976829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e3181976829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053351798", 
          "https://doi.org/10.1097/gim.0b013e3181976829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5306/wjco.v5.i3.412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072757570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078825437", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-10", 
    "datePublishedReg": "2016-10-01", 
    "description": "PURPOSE: We examined hospital use of the 21-gene breast cancer test in the United States. We report state-level differences in utilization and propose a model for predicting implementation of guideline-recommended genomic testing.\nMETHODS: Genomic Health provided test orders for calendar year 2011.We summarized utilization at the hospital and state levels. Using logistic regression, we analyzed the association between the likelihood to order the test and the hospital's institutional and regional characteristics.\nRESULTS: In 2011, 45% of 4,712 acute-care hospitals ordered the test, which suggests that 25% of newly diagnosed invasive female breast cancer cases were tested. Significant predictors of testing included participation in National Cancer Institute (NCI) clinical research cooperative groups (odds ratio (OR) 3.73; 95% confidence interval, 2.96-4.70), advanced imaging (OR, 2.19; CI, 1.78-2.68), high-complexity laboratory (OR, 2.15; CI, 1.24-3.70), affiliation with a medical school (OR, 1.57; CI, 1.31-1.88), and reconstructive surgery (OR, 1.23; CI, 1.01-1.50). Significant regional predictors included metropolitan county (OR, 3.77; CI, 2.83-5.03), above-mean income (OR, 1.37; CI, 1.11-1.69), and education (OR, 1.26; CI, 1.03-1.54). Negative predictors included designation as a critical-access hospital (OR, 0.10; CI, 0.07-0.14) and distance from an NCI cancer center (OR, 0.998; CI, 0.997-0.999), with a 15% decrease in likelihood for every 100 miles.\nCONCLUSION: Despite considerable market penetration of the test, there are significant regional and site-of-care differences in implementation, particularly in rural states.Genet Med 18 10, 982-990.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/gim.2015.218", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1119411", 
        "issn": [
          "1098-3600", 
          "1530-0366"
        ], 
        "name": "Genetics in Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Implementation of the 21-gene recurrence score test in the United States in 2011", 
    "pagination": "982", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3541bc369974ab95aef4a0becb2bc0fbac23f56c834110190f0fee7dfd2a7436"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26890451"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9815831"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/gim.2015.218"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011178136"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/gim.2015.218", 
      "https://app.dimensions.ai/details/publication/pub.1011178136"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:20", 
    "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_8690_00000435.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/gim2015218"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/gim.2015.218'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/gim.2015.218'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/gim.2015.218'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/gim.2015.218'


 

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

272 TRIPLES      21 PREDICATES      69 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/gim.2015.218 schema:about N0f6c5292e0754543b6340ab80db0811d
2 N398db45077754984aa4b5b5a4a460e87
3 N509cc5a6204741aa9060cfb3cc197184
4 N79a398372a10412b92776316a9c2c3a5
5 Nd013c069317f412c97cf649838b264ba
6 Nd42c80d2c4e244be9aee45350cb780db
7 Ne51b7c7a522a4641bb99002638b9dd65
8 Ne62912d0b776448194697e29ef3b158c
9 Nfcbebc08024d4a98b982bd082b128b63
10 anzsrc-for:11
11 anzsrc-for:1117
12 schema:author Ndab6f36849784306ac9ae40f64725811
13 schema:citation sg:pub.10.1007/s10549-010-1329-6
14 sg:pub.10.1007/s10549-013-2559-1
15 sg:pub.10.1007/s10903-012-9577-7
16 sg:pub.10.1007/s11864-015-0340-x
17 sg:pub.10.1038/gim.2013.5
18 sg:pub.10.1038/nrclinonc.2011.19
19 sg:pub.10.1097/gim.0b013e3181976829
20 sg:pub.10.1186/bcr1412
21 sg:pub.10.1186/bcr2261
22 sg:pub.10.1186/bcr3462
23 https://app.dimensions.ai/details/publication/pub.1078825437
24 https://doi.org/10.1001/jama.295.21.2492
25 https://doi.org/10.1001/jamaoncol.2015.43
26 https://doi.org/10.1002/cncr.22618
27 https://doi.org/10.1016/s0140-6736(11)61625-5
28 https://doi.org/10.1056/nejmoa041588
29 https://doi.org/10.1056/nejmoa1510764
30 https://doi.org/10.1093/jnci/djs261
31 https://doi.org/10.1093/jnci/dju055
32 https://doi.org/10.1093/jnci/djv048
33 https://doi.org/10.1111/tbj.12099
34 https://doi.org/10.1155/2013/653805
35 https://doi.org/10.1155/2015/813456
36 https://doi.org/10.1159/000353518
37 https://doi.org/10.1177/1078155212474047
38 https://doi.org/10.1200/jco.2011.38.5740
39 https://doi.org/10.1309/4wv79n2ghj3x1841
40 https://doi.org/10.1586/14737159.2015.983476
41 https://doi.org/10.1586/erp.13.4
42 https://doi.org/10.2217/whe.10.25
43 https://doi.org/10.5306/wjco.v5.i3.412
44 schema:datePublished 2016-10
45 schema:datePublishedReg 2016-10-01
46 schema:description PURPOSE: We examined hospital use of the 21-gene breast cancer test in the United States. We report state-level differences in utilization and propose a model for predicting implementation of guideline-recommended genomic testing. METHODS: Genomic Health provided test orders for calendar year 2011.We summarized utilization at the hospital and state levels. Using logistic regression, we analyzed the association between the likelihood to order the test and the hospital's institutional and regional characteristics. RESULTS: In 2011, 45% of 4,712 acute-care hospitals ordered the test, which suggests that 25% of newly diagnosed invasive female breast cancer cases were tested. Significant predictors of testing included participation in National Cancer Institute (NCI) clinical research cooperative groups (odds ratio (OR) 3.73; 95% confidence interval, 2.96-4.70), advanced imaging (OR, 2.19; CI, 1.78-2.68), high-complexity laboratory (OR, 2.15; CI, 1.24-3.70), affiliation with a medical school (OR, 1.57; CI, 1.31-1.88), and reconstructive surgery (OR, 1.23; CI, 1.01-1.50). Significant regional predictors included metropolitan county (OR, 3.77; CI, 2.83-5.03), above-mean income (OR, 1.37; CI, 1.11-1.69), and education (OR, 1.26; CI, 1.03-1.54). Negative predictors included designation as a critical-access hospital (OR, 0.10; CI, 0.07-0.14) and distance from an NCI cancer center (OR, 0.998; CI, 0.997-0.999), with a 15% decrease in likelihood for every 100 miles. CONCLUSION: Despite considerable market penetration of the test, there are significant regional and site-of-care differences in implementation, particularly in rural states.Genet Med 18 10, 982-990.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree true
50 schema:isPartOf Nca3d764c09c549b99ea467c2e7f9fe01
51 Ne23b53d979454258a9e1a41b01106623
52 sg:journal.1119411
53 schema:name Implementation of the 21-gene recurrence score test in the United States in 2011
54 schema:pagination 982
55 schema:productId N0d0632f33e3446f39bc1c68c3ec54675
56 N2c863afa67ed41ea92eb0d696a172fe7
57 N37e72f2e43e24422aa72b4a0d41ccbef
58 N41741ed200494c2da434eebd23d7c3c1
59 Nedcfb60c105f4f728f907ce98c2f1653
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011178136
61 https://doi.org/10.1038/gim.2015.218
62 schema:sdDatePublished 2019-04-10T22:20
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N6572fe0c55084f8cb6c2eee85544be11
65 schema:url https://www.nature.com/articles/gim2015218
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N0d0632f33e3446f39bc1c68c3ec54675 schema:name readcube_id
70 schema:value 3541bc369974ab95aef4a0becb2bc0fbac23f56c834110190f0fee7dfd2a7436
71 rdf:type schema:PropertyValue
72 N0f6c5292e0754543b6340ab80db0811d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name United States
74 rdf:type schema:DefinedTerm
75 N14fc41862f2a4c23b75376392f34a43c rdf:first sg:person.01065072714.16
76 rdf:rest rdf:nil
77 N2c863afa67ed41ea92eb0d696a172fe7 schema:name nlm_unique_id
78 schema:value 9815831
79 rdf:type schema:PropertyValue
80 N37e72f2e43e24422aa72b4a0d41ccbef schema:name pubmed_id
81 schema:value 26890451
82 rdf:type schema:PropertyValue
83 N398db45077754984aa4b5b5a4a460e87 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Breast Neoplasms
85 rdf:type schema:DefinedTerm
86 N41741ed200494c2da434eebd23d7c3c1 schema:name dimensions_id
87 schema:value pub.1011178136
88 rdf:type schema:PropertyValue
89 N509cc5a6204741aa9060cfb3cc197184 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Predictive Value of Tests
91 rdf:type schema:DefinedTerm
92 N54718e3402e9452b9178e9fb2b157785 rdf:first sg:person.012204616665.65
93 rdf:rest Na5e7ef58a055475388aa1e3a056d3b53
94 N5776c8f4020248d99afec58b662ebc98 rdf:first sg:person.014235714045.05
95 rdf:rest N8892e08492e74d5fa22403464384146c
96 N6572fe0c55084f8cb6c2eee85544be11 schema:name Springer Nature - SN SciGraph project
97 rdf:type schema:Organization
98 N79a398372a10412b92776316a9c2c3a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Female
100 rdf:type schema:DefinedTerm
101 N80d16a016ccc4b1580f7ef2559139e81 rdf:first sg:person.0740262273.19
102 rdf:rest N14fc41862f2a4c23b75376392f34a43c
103 N8892e08492e74d5fa22403464384146c rdf:first sg:person.01157223552.31
104 rdf:rest N54718e3402e9452b9178e9fb2b157785
105 Na5e7ef58a055475388aa1e3a056d3b53 rdf:first sg:person.0745141262.84
106 rdf:rest N80d16a016ccc4b1580f7ef2559139e81
107 Nbd8d93c836b6449aa8e665187108fc8b rdf:first sg:person.01167017526.04
108 rdf:rest N5776c8f4020248d99afec58b662ebc98
109 Nca3d764c09c549b99ea467c2e7f9fe01 schema:issueNumber 10
110 rdf:type schema:PublicationIssue
111 Nd013c069317f412c97cf649838b264ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name National Cancer Institute (U.S.)
113 rdf:type schema:DefinedTerm
114 Nd42c80d2c4e244be9aee45350cb780db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Neoplasm Recurrence, Local
116 rdf:type schema:DefinedTerm
117 Ndab6f36849784306ac9ae40f64725811 rdf:first sg:person.0674353541.09
118 rdf:rest Nbd8d93c836b6449aa8e665187108fc8b
119 Ne23b53d979454258a9e1a41b01106623 schema:volumeNumber 18
120 rdf:type schema:PublicationVolume
121 Ne51b7c7a522a4641bb99002638b9dd65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Genetic Testing
123 rdf:type schema:DefinedTerm
124 Ne62912d0b776448194697e29ef3b158c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Neoplasm Proteins
126 rdf:type schema:DefinedTerm
127 Nedcfb60c105f4f728f907ce98c2f1653 schema:name doi
128 schema:value 10.1038/gim.2015.218
129 rdf:type schema:PropertyValue
130 Nfcbebc08024d4a98b982bd082b128b63 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Humans
132 rdf:type schema:DefinedTerm
133 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
134 schema:name Medical and Health Sciences
135 rdf:type schema:DefinedTerm
136 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
137 schema:name Public Health and Health Services
138 rdf:type schema:DefinedTerm
139 sg:journal.1119411 schema:issn 1098-3600
140 1530-0366
141 schema:name Genetics in Medicine
142 rdf:type schema:Periodical
143 sg:person.01065072714.16 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
144 schema:familyName Freedman
145 schema:givenName Andrew N.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065072714.16
147 rdf:type schema:Person
148 sg:person.01157223552.31 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
149 schema:familyName Filipski
150 schema:givenName Kelly
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157223552.31
152 rdf:type schema:Person
153 sg:person.01167017526.04 schema:affiliation https://www.grid.ac/institutes/grid.413726.5
154 schema:familyName Berse
155 schema:givenName Brygida
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167017526.04
157 rdf:type schema:Person
158 sg:person.012204616665.65 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
159 schema:familyName Zhou
160 schema:givenName Yingjun
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012204616665.65
162 rdf:type schema:Person
163 sg:person.014235714045.05 schema:affiliation https://www.grid.ac/institutes/grid.48336.3a
164 schema:familyName Petkov
165 schema:givenName Valentina
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014235714045.05
167 rdf:type schema:Person
168 sg:person.0674353541.09 schema:affiliation https://www.grid.ac/institutes/grid.62562.35
169 schema:familyName Lynch
170 schema:givenName Julie A.
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674353541.09
172 rdf:type schema:Person
173 sg:person.0740262273.19 schema:affiliation https://www.grid.ac/institutes/grid.65499.37
174 schema:familyName Hassett
175 schema:givenName Michael
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740262273.19
177 rdf:type schema:Person
178 sg:person.0745141262.84 schema:affiliation https://www.grid.ac/institutes/grid.94365.3d
179 schema:familyName Khoury
180 schema:givenName Muin J.
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745141262.84
182 rdf:type schema:Person
183 sg:pub.10.1007/s10549-010-1329-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015355504
184 https://doi.org/10.1007/s10549-010-1329-6
185 rdf:type schema:CreativeWork
186 sg:pub.10.1007/s10549-013-2559-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002355079
187 https://doi.org/10.1007/s10549-013-2559-1
188 rdf:type schema:CreativeWork
189 sg:pub.10.1007/s10903-012-9577-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049169533
190 https://doi.org/10.1007/s10903-012-9577-7
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/s11864-015-0340-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024086498
193 https://doi.org/10.1007/s11864-015-0340-x
194 rdf:type schema:CreativeWork
195 sg:pub.10.1038/gim.2013.5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051257040
196 https://doi.org/10.1038/gim.2013.5
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/nrclinonc.2011.19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034766349
199 https://doi.org/10.1038/nrclinonc.2011.19
200 rdf:type schema:CreativeWork
201 sg:pub.10.1097/gim.0b013e3181976829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053351798
202 https://doi.org/10.1097/gim.0b013e3181976829
203 rdf:type schema:CreativeWork
204 sg:pub.10.1186/bcr1412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038723589
205 https://doi.org/10.1186/bcr1412
206 rdf:type schema:CreativeWork
207 sg:pub.10.1186/bcr2261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033993025
208 https://doi.org/10.1186/bcr2261
209 rdf:type schema:CreativeWork
210 sg:pub.10.1186/bcr3462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029934970
211 https://doi.org/10.1186/bcr3462
212 rdf:type schema:CreativeWork
213 https://app.dimensions.ai/details/publication/pub.1078825437 schema:CreativeWork
214 https://doi.org/10.1001/jama.295.21.2492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043089674
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1001/jamaoncol.2015.43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019789895
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1002/cncr.22618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005674252
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/s0140-6736(11)61625-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016340431
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1056/nejmoa041588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022156409
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1056/nejmoa1510764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036616787
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1093/jnci/djs261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031533266
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1093/jnci/dju055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002397396
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/jnci/djv048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017461681
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1111/tbj.12099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010816907
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1155/2013/653805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052024674
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1155/2015/813456 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038779121
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1159/000353518 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043480051
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1177/1078155212474047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044625384
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1200/jco.2011.38.5740 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017478810
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1309/4wv79n2ghj3x1841 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032640974
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1586/14737159.2015.983476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001208841
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1586/erp.13.4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032495468
249 rdf:type schema:CreativeWork
250 https://doi.org/10.2217/whe.10.25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048121492
251 rdf:type schema:CreativeWork
252 https://doi.org/10.5306/wjco.v5.i3.412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072757570
253 rdf:type schema:CreativeWork
254 https://www.grid.ac/institutes/grid.413726.5 schema:alternateName White River Junction VA Medical Center
255 schema:name Boston University School of Medicine, Boston, Massachusetts, USA
256 RTI International, Research Triangle Park, Durham, North Carolina, USA
257 Veterans Health Administration, Bedford, Massachusetts, USA
258 rdf:type schema:Organization
259 https://www.grid.ac/institutes/grid.48336.3a schema:alternateName National Cancer Institute
260 schema:name National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
261 rdf:type schema:Organization
262 https://www.grid.ac/institutes/grid.62562.35 schema:alternateName RTI International
263 schema:name RTI International, Research Triangle Park, Durham, North Carolina, USA
264 VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
265 rdf:type schema:Organization
266 https://www.grid.ac/institutes/grid.65499.37 schema:alternateName Dana–Farber Cancer Institute
267 schema:name Dana Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
268 rdf:type schema:Organization
269 https://www.grid.ac/institutes/grid.94365.3d schema:alternateName National Institutes of Health
270 schema:name Epidemiology and Genomics Research Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
271 Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
272 rdf:type schema:Organization
 




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


...