Appropriateness of early breast cancer management in relation to patient and hospital characteristics: a population based study in Northern Italy View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-12-03

AUTHORS

R. Rosato, C. Sacerdote, E. Pagano, D. Di Cuonzo, I. Baldi, R. Bordon, A. Ponti, O. Bertetto, N. Segnan, F. Merletti, P. Vineis, G. Ciccone

ABSTRACT

Administrative data may provide valuable information for monitoring the quality of care at population level and offer an efficient way of gathering data on individual patterns of care, and also to shed light on inequalities in access to appropriate medical care. The aim of the study was to investigate the role of patient and hospital characteristics in the initial treatment of early breast cancer using administrative data. Incident breast cancer patients were identified from hospital discharge records and linked to the radiotherapy outpatient database during 2000–2004 in the Piedmont region of Northwestern Italy. Women treated with breast-conserving surgery followed by radiotherapy (BCS + RT) were compared to those treated with BCS without radiotherapy (BCS w/o RT) or mastectomy using multinomial logistic regression models. Out of 16,022 incident cases, 46.2% received BCS + RT, 20.3% received BCS w/o RT, and 33.5% received a mastectomy. Compared to BCS + RT, the factors associated with BCS w/o RT were: increased age (OR = 1.54; 95% CI = 1.29–1.85, for ages 70–79 vs. <50), being unmarried (1.24; 1.13–1.36), presence of co-morbidities (1.32; 1.10–1.58), being treated at hospitals with low surgical volume (1.31; 1.07–1.60 for hospitals with less than 50 vs. ≥150 interventions/year), and living far from radiotherapy facilities (1.75; 1.39–2.20 for those at a distance of >45 min). These same factors were also associated with mastectomy. During the 5-year period observed, there was a trend of reduced probability of receiving a mastectomy (0.70; 0.56–0.88 for 2004 vs. 2000). The presence or absence of nodal involvement was positively associated with mastectomy (2.28; 1.83–2.85) and negatively associated with BCS w/o RT (0.65; 0.56–0.76). After adjustment for potential confounders, education level did not show any association with the type of treatment. Social and geographical factors, in addition to hospital specialization, should be considered to reduce inappropriateness of care for breast cancer. More... »

PAGES

349-356

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10549-008-0252-6

DOI

http://dx.doi.org/10.1007/s10549-008-0252-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036791683

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19051008


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "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": "Combined Modality Therapy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Educational Status", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Services Accessibility", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hospitals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Italy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mastectomy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality Assurance, Health Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiotherapy", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Department of Psychology, University of Torino, Torino, Italy", 
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosato", 
        "givenName": "R.", 
        "id": "sg:person.0653600740.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653600740.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sacerdote", 
        "givenName": "C.", 
        "id": "sg:person.01127722010.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127722010.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pagano", 
        "givenName": "E.", 
        "id": "sg:person.0711014373.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711014373.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Di Cuonzo", 
        "givenName": "D.", 
        "id": "sg:person.01244613774.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01244613774.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baldi", 
        "givenName": "I.", 
        "id": "sg:person.01262627106.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262627106.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bordon", 
        "givenName": "R.", 
        "id": "sg:person.01363465367.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363465367.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ponti", 
        "givenName": "A.", 
        "id": "sg:person.01302142150.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302142150.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agency for Regional Health Service, Regione Piemonte, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Agency for Regional Health Service, Regione Piemonte, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bertetto", 
        "givenName": "O.", 
        "id": "sg:person.01243145742.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243145742.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Segnan", 
        "givenName": "N.", 
        "id": "sg:person.0743542266.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743542266.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Merletti", 
        "givenName": "F.", 
        "id": "sg:person.01076227130.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076227130.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Epidemiology and Public Health, Imperial College London, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
            "Department of Epidemiology and Public Health, Imperial College London, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vineis", 
        "givenName": "P.", 
        "id": "sg:person.010450733662.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010450733662.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7605.4", 
          "name": [
            "Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ciccone", 
        "givenName": "G.", 
        "id": "sg:person.0614176332.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614176332.82"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/sj.bjc.6601148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008561519", 
          "https://doi.org/10.1038/sj.bjc.6601148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-005-3702-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023514382", 
          "https://doi.org/10.1007/s10549-005-3702-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1016140228720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005903486", 
          "https://doi.org/10.1023/a:1016140228720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6603405", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008996114", 
          "https://doi.org/10.1038/sj.bjc.6603405"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-12-03", 
    "datePublishedReg": "2008-12-03", 
    "description": "Administrative data may provide valuable information for monitoring the quality of care at population level and offer an efficient way of gathering data on individual patterns of care, and also to shed light on inequalities in access to appropriate medical care. The aim of the study was to investigate the role of patient and hospital characteristics in the initial treatment of early breast cancer using administrative data. Incident breast cancer patients were identified from hospital discharge records and linked to the radiotherapy outpatient database during 2000\u20132004 in the Piedmont region of Northwestern Italy. Women treated with breast-conserving surgery followed by radiotherapy (BCS\u00a0+\u00a0RT) were compared to those treated with BCS without radiotherapy (BCS w/o RT) or mastectomy using multinomial logistic regression models. Out of 16,022 incident cases, 46.2% received BCS\u00a0+\u00a0RT, 20.3% received BCS\u00a0w/o\u00a0RT, and 33.5% received a mastectomy. Compared to BCS\u00a0+\u00a0RT, the factors associated with BCS\u00a0w/o\u00a0RT were: increased age (OR\u00a0=\u00a01.54; 95% CI\u00a0=\u00a01.29\u20131.85, for ages 70\u201379 vs. <50), being unmarried (1.24; 1.13\u20131.36), presence of co-morbidities (1.32; 1.10\u20131.58), being treated at hospitals with low surgical volume (1.31; 1.07\u20131.60 for hospitals with less than 50 vs. \u2265150 interventions/year), and living far from radiotherapy facilities (1.75; 1.39\u20132.20 for those at a distance of >45\u00a0min). These same factors were also associated with mastectomy. During the 5-year period observed, there was a trend of reduced probability of receiving a mastectomy (0.70; 0.56\u20130.88 for 2004 vs. 2000). The presence or absence of nodal involvement was positively associated with mastectomy (2.28; 1.83\u20132.85) and negatively associated with BCS\u00a0w/o\u00a0RT (0.65; 0.56\u20130.76). After adjustment for potential confounders, education level did not show any association with the type of treatment. Social and geographical factors, in addition to hospital specialization, should be considered to reduce inappropriateness of care for breast cancer.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10549-008-0252-6", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1092777", 
        "issn": [
          "0167-6806", 
          "1573-7217"
        ], 
        "name": "Breast Cancer Research and Treatment", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "117"
      }
    ], 
    "keywords": [
      "hospital characteristics", 
      "breast cancer", 
      "incident breast cancer patients", 
      "early breast cancer management", 
      "inappropriateness of care", 
      "early breast cancer", 
      "breast-conserving surgery", 
      "low surgical volume", 
      "breast cancer patients", 
      "hospital discharge records", 
      "breast cancer management", 
      "appropriate medical care", 
      "administrative data", 
      "quality of care", 
      "type of treatment", 
      "role of patients", 
      "logistic regression models", 
      "outpatient database", 
      "nodal involvement", 
      "initial treatment", 
      "multinomial logistic regression models", 
      "incident cases", 
      "potential confounders", 
      "cancer patients", 
      "surgical volume", 
      "cancer management", 
      "mastectomy", 
      "medical care", 
      "patients", 
      "discharge records", 
      "care", 
      "radiotherapy", 
      "cancer", 
      "education level", 
      "regression models", 
      "treatment", 
      "radiotherapy facilities", 
      "population level", 
      "hospital specialization", 
      "RT", 
      "reduced probability", 
      "individual patterns", 
      "surgery", 
      "confounders", 
      "hospital", 
      "factors", 
      "women", 
      "BCS", 
      "age", 
      "levels", 
      "study", 
      "same factors", 
      "association", 
      "involvement", 
      "Northern Italy", 
      "presence", 
      "aim", 
      "population", 
      "data", 
      "adjustment", 
      "period", 
      "management", 
      "absence", 
      "appropriateness", 
      "records", 
      "valuable information", 
      "cases", 
      "database", 
      "role", 
      "inappropriateness", 
      "Italy", 
      "volume", 
      "characteristics", 
      "patterns", 
      "geographical factors", 
      "addition", 
      "access", 
      "quality", 
      "northwestern Italy", 
      "facilities", 
      "types", 
      "Piedmont region", 
      "trends", 
      "information", 
      "region", 
      "relation", 
      "specialization", 
      "probability", 
      "model", 
      "light", 
      "way", 
      "inequality", 
      "efficient way"
    ], 
    "name": "Appropriateness of early breast cancer management in relation to patient and hospital characteristics: a population based study in Northern Italy", 
    "pagination": "349-356", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036791683"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10549-008-0252-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19051008"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10549-008-0252-6", 
      "https://app.dimensions.ai/details/publication/pub.1036791683"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-06-01T22:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_458.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10549-008-0252-6"
  }
]
 

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/s10549-008-0252-6'

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/s10549-008-0252-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-008-0252-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-008-0252-6'


 

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

320 TRIPLES      22 PREDICATES      139 URIs      126 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10549-008-0252-6 schema:about N103a52ef2c7c4e2bb45eaa96a0780571
2 N1608f52bdce240bb9705e314b2aa1144
3 N2ad4ed530a664a15b564703f6e4caa52
4 N313e552b2f684cdda6d25154a6a15fc7
5 N3c2cdaa6dd5c4fb98c40ad211b663d60
6 N45d6e1b3dedd48f99c48f7477926cbd8
7 N56f0bf1f5a9144c489cfef418de27455
8 N58f5ad53e503434e94cab61de42328e3
9 N832c3de07b8244b3820f79fe630b2756
10 N87b4efb66044471891239b3b554fd1c2
11 N8be9363757a349d1a05c3564a5d24769
12 Na405f518b23b422dbaf9c0687c37e0f2
13 Na9cb00b23a3049a29f195fb3aa391071
14 Nd8d0668a615046fabbbded10b1277fbe
15 Nde5a6659dd5a41a1a3b6430bd990de1e
16 anzsrc-for:11
17 anzsrc-for:1112
18 anzsrc-for:1117
19 schema:author N8f6e361da00d4d18bece60fd2fe0c55e
20 schema:citation sg:pub.10.1007/s10549-005-3702-4
21 sg:pub.10.1023/a:1016140228720
22 sg:pub.10.1038/sj.bjc.6601148
23 sg:pub.10.1038/sj.bjc.6603405
24 schema:datePublished 2008-12-03
25 schema:datePublishedReg 2008-12-03
26 schema:description Administrative data may provide valuable information for monitoring the quality of care at population level and offer an efficient way of gathering data on individual patterns of care, and also to shed light on inequalities in access to appropriate medical care. The aim of the study was to investigate the role of patient and hospital characteristics in the initial treatment of early breast cancer using administrative data. Incident breast cancer patients were identified from hospital discharge records and linked to the radiotherapy outpatient database during 2000–2004 in the Piedmont region of Northwestern Italy. Women treated with breast-conserving surgery followed by radiotherapy (BCS + RT) were compared to those treated with BCS without radiotherapy (BCS w/o RT) or mastectomy using multinomial logistic regression models. Out of 16,022 incident cases, 46.2% received BCS + RT, 20.3% received BCS w/o RT, and 33.5% received a mastectomy. Compared to BCS + RT, the factors associated with BCS w/o RT were: increased age (OR = 1.54; 95% CI = 1.29–1.85, for ages 70–79 vs. <50), being unmarried (1.24; 1.13–1.36), presence of co-morbidities (1.32; 1.10–1.58), being treated at hospitals with low surgical volume (1.31; 1.07–1.60 for hospitals with less than 50 vs. ≥150 interventions/year), and living far from radiotherapy facilities (1.75; 1.39–2.20 for those at a distance of >45 min). These same factors were also associated with mastectomy. During the 5-year period observed, there was a trend of reduced probability of receiving a mastectomy (0.70; 0.56–0.88 for 2004 vs. 2000). The presence or absence of nodal involvement was positively associated with mastectomy (2.28; 1.83–2.85) and negatively associated with BCS w/o RT (0.65; 0.56–0.76). After adjustment for potential confounders, education level did not show any association with the type of treatment. Social and geographical factors, in addition to hospital specialization, should be considered to reduce inappropriateness of care for breast cancer.
27 schema:genre article
28 schema:inLanguage en
29 schema:isAccessibleForFree true
30 schema:isPartOf N28d4ff64e2bb487792aa10b2b507bc3b
31 Nf3ed62b820f14393b703460c438f45f7
32 sg:journal.1092777
33 schema:keywords BCS
34 Italy
35 Northern Italy
36 Piedmont region
37 RT
38 absence
39 access
40 addition
41 adjustment
42 administrative data
43 age
44 aim
45 appropriate medical care
46 appropriateness
47 association
48 breast cancer
49 breast cancer management
50 breast cancer patients
51 breast-conserving surgery
52 cancer
53 cancer management
54 cancer patients
55 care
56 cases
57 characteristics
58 confounders
59 data
60 database
61 discharge records
62 early breast cancer
63 early breast cancer management
64 education level
65 efficient way
66 facilities
67 factors
68 geographical factors
69 hospital
70 hospital characteristics
71 hospital discharge records
72 hospital specialization
73 inappropriateness
74 inappropriateness of care
75 incident breast cancer patients
76 incident cases
77 individual patterns
78 inequality
79 information
80 initial treatment
81 involvement
82 levels
83 light
84 logistic regression models
85 low surgical volume
86 management
87 mastectomy
88 medical care
89 model
90 multinomial logistic regression models
91 nodal involvement
92 northwestern Italy
93 outpatient database
94 patients
95 patterns
96 period
97 population
98 population level
99 potential confounders
100 presence
101 probability
102 quality
103 quality of care
104 radiotherapy
105 radiotherapy facilities
106 records
107 reduced probability
108 region
109 regression models
110 relation
111 role
112 role of patients
113 same factors
114 specialization
115 study
116 surgery
117 surgical volume
118 treatment
119 trends
120 type of treatment
121 types
122 valuable information
123 volume
124 way
125 women
126 schema:name Appropriateness of early breast cancer management in relation to patient and hospital characteristics: a population based study in Northern Italy
127 schema:pagination 349-356
128 schema:productId N4ff356fd0c6f472aa69b1b45478a97c2
129 Nda2d7584eda44ab68147f65faf8ed934
130 Nf27525e999124810a76a0764c09bd6ec
131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036791683
132 https://doi.org/10.1007/s10549-008-0252-6
133 schema:sdDatePublished 2022-06-01T22:07
134 schema:sdLicense https://scigraph.springernature.com/explorer/license/
135 schema:sdPublisher N37bd65da4a154e1381ad0e1caaceb20c
136 schema:url https://doi.org/10.1007/s10549-008-0252-6
137 sgo:license sg:explorer/license/
138 sgo:sdDataset articles
139 rdf:type schema:ScholarlyArticle
140 N05b107db6ae0446b83fa99d557f35a22 rdf:first sg:person.01262627106.92
141 rdf:rest N8d054e515f364464b3da163e7b6ecba3
142 N0b301440deeb417dbda72131df351353 rdf:first sg:person.0711014373.34
143 rdf:rest Nd33cb65b5ac246ecbfb835e2fa3449df
144 N103a52ef2c7c4e2bb45eaa96a0780571 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Combined Modality Therapy
146 rdf:type schema:DefinedTerm
147 N1608f52bdce240bb9705e314b2aa1144 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Aged, 80 and over
149 rdf:type schema:DefinedTerm
150 N17d27bc99b464a729cc65e43edec4c9f rdf:first sg:person.0614176332.82
151 rdf:rest rdf:nil
152 N28d4ff64e2bb487792aa10b2b507bc3b schema:volumeNumber 117
153 rdf:type schema:PublicationVolume
154 N29bc7572fa674248b6382dfea5edb839 rdf:first sg:person.01127722010.33
155 rdf:rest N0b301440deeb417dbda72131df351353
156 N2ad4ed530a664a15b564703f6e4caa52 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Middle Aged
158 rdf:type schema:DefinedTerm
159 N2c008094a004463cb5aa54a4bb49bab8 rdf:first sg:person.01076227130.29
160 rdf:rest N92b3c5ae291f4a838e3bbd0cbf257ffe
161 N313e552b2f684cdda6d25154a6a15fc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Aged
163 rdf:type schema:DefinedTerm
164 N37bd65da4a154e1381ad0e1caaceb20c schema:name Springer Nature - SN SciGraph project
165 rdf:type schema:Organization
166 N3c2cdaa6dd5c4fb98c40ad211b663d60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Italy
168 rdf:type schema:DefinedTerm
169 N45d6e1b3dedd48f99c48f7477926cbd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Humans
171 rdf:type schema:DefinedTerm
172 N4ff356fd0c6f472aa69b1b45478a97c2 schema:name doi
173 schema:value 10.1007/s10549-008-0252-6
174 rdf:type schema:PropertyValue
175 N56f0bf1f5a9144c489cfef418de27455 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Mastectomy
177 rdf:type schema:DefinedTerm
178 N58f5ad53e503434e94cab61de42328e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Health Services Accessibility
180 rdf:type schema:DefinedTerm
181 N832c3de07b8244b3820f79fe630b2756 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Educational Status
183 rdf:type schema:DefinedTerm
184 N87b4efb66044471891239b3b554fd1c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Quality Assurance, Health Care
186 rdf:type schema:DefinedTerm
187 N8be9363757a349d1a05c3564a5d24769 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Age Factors
189 rdf:type schema:DefinedTerm
190 N8d054e515f364464b3da163e7b6ecba3 rdf:first sg:person.01363465367.85
191 rdf:rest Na1d04dcb82744f8d8903d11aef8bab12
192 N8f6e361da00d4d18bece60fd2fe0c55e rdf:first sg:person.0653600740.00
193 rdf:rest N29bc7572fa674248b6382dfea5edb839
194 N92b3c5ae291f4a838e3bbd0cbf257ffe rdf:first sg:person.010450733662.68
195 rdf:rest N17d27bc99b464a729cc65e43edec4c9f
196 Na1d04dcb82744f8d8903d11aef8bab12 rdf:first sg:person.01302142150.13
197 rdf:rest Ned4f9d26719049b4acc08457a8205806
198 Na405f518b23b422dbaf9c0687c37e0f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
199 schema:name Female
200 rdf:type schema:DefinedTerm
201 Na9cb00b23a3049a29f195fb3aa391071 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
202 schema:name Breast Neoplasms
203 rdf:type schema:DefinedTerm
204 Nc76a75b8085c4b4e9582e7c61032a251 rdf:first sg:person.0743542266.47
205 rdf:rest N2c008094a004463cb5aa54a4bb49bab8
206 Nd33cb65b5ac246ecbfb835e2fa3449df rdf:first sg:person.01244613774.91
207 rdf:rest N05b107db6ae0446b83fa99d557f35a22
208 Nd8d0668a615046fabbbded10b1277fbe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
209 schema:name Radiotherapy
210 rdf:type schema:DefinedTerm
211 Nda2d7584eda44ab68147f65faf8ed934 schema:name pubmed_id
212 schema:value 19051008
213 rdf:type schema:PropertyValue
214 Nde5a6659dd5a41a1a3b6430bd990de1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
215 schema:name Hospitals
216 rdf:type schema:DefinedTerm
217 Ned4f9d26719049b4acc08457a8205806 rdf:first sg:person.01243145742.15
218 rdf:rest Nc76a75b8085c4b4e9582e7c61032a251
219 Nf27525e999124810a76a0764c09bd6ec schema:name dimensions_id
220 schema:value pub.1036791683
221 rdf:type schema:PropertyValue
222 Nf3ed62b820f14393b703460c438f45f7 schema:issueNumber 2
223 rdf:type schema:PublicationIssue
224 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
225 schema:name Medical and Health Sciences
226 rdf:type schema:DefinedTerm
227 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
228 schema:name Oncology and Carcinogenesis
229 rdf:type schema:DefinedTerm
230 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
231 schema:name Public Health and Health Services
232 rdf:type schema:DefinedTerm
233 sg:journal.1092777 schema:issn 0167-6806
234 1573-7217
235 schema:name Breast Cancer Research and Treatment
236 schema:publisher Springer Nature
237 rdf:type schema:Periodical
238 sg:person.010450733662.68 schema:affiliation grid-institutes:grid.7445.2
239 schema:familyName Vineis
240 schema:givenName P.
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010450733662.68
242 rdf:type schema:Person
243 sg:person.01076227130.29 schema:affiliation grid-institutes:grid.7605.4
244 schema:familyName Merletti
245 schema:givenName F.
246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076227130.29
247 rdf:type schema:Person
248 sg:person.01127722010.33 schema:affiliation grid-institutes:grid.7605.4
249 schema:familyName Sacerdote
250 schema:givenName C.
251 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127722010.33
252 rdf:type schema:Person
253 sg:person.01243145742.15 schema:affiliation grid-institutes:None
254 schema:familyName Bertetto
255 schema:givenName O.
256 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243145742.15
257 rdf:type schema:Person
258 sg:person.01244613774.91 schema:affiliation grid-institutes:grid.7605.4
259 schema:familyName Di Cuonzo
260 schema:givenName D.
261 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01244613774.91
262 rdf:type schema:Person
263 sg:person.01262627106.92 schema:affiliation grid-institutes:grid.7605.4
264 schema:familyName Baldi
265 schema:givenName I.
266 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262627106.92
267 rdf:type schema:Person
268 sg:person.01302142150.13 schema:affiliation grid-institutes:grid.7605.4
269 schema:familyName Ponti
270 schema:givenName A.
271 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302142150.13
272 rdf:type schema:Person
273 sg:person.01363465367.85 schema:affiliation grid-institutes:grid.7605.4
274 schema:familyName Bordon
275 schema:givenName R.
276 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363465367.85
277 rdf:type schema:Person
278 sg:person.0614176332.82 schema:affiliation grid-institutes:grid.7605.4
279 schema:familyName Ciccone
280 schema:givenName G.
281 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614176332.82
282 rdf:type schema:Person
283 sg:person.0653600740.00 schema:affiliation grid-institutes:grid.7605.4
284 schema:familyName Rosato
285 schema:givenName R.
286 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653600740.00
287 rdf:type schema:Person
288 sg:person.0711014373.34 schema:affiliation grid-institutes:grid.7605.4
289 schema:familyName Pagano
290 schema:givenName E.
291 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711014373.34
292 rdf:type schema:Person
293 sg:person.0743542266.47 schema:affiliation grid-institutes:grid.7605.4
294 schema:familyName Segnan
295 schema:givenName N.
296 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743542266.47
297 rdf:type schema:Person
298 sg:pub.10.1007/s10549-005-3702-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023514382
299 https://doi.org/10.1007/s10549-005-3702-4
300 rdf:type schema:CreativeWork
301 sg:pub.10.1023/a:1016140228720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005903486
302 https://doi.org/10.1023/a:1016140228720
303 rdf:type schema:CreativeWork
304 sg:pub.10.1038/sj.bjc.6601148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008561519
305 https://doi.org/10.1038/sj.bjc.6601148
306 rdf:type schema:CreativeWork
307 sg:pub.10.1038/sj.bjc.6603405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008996114
308 https://doi.org/10.1038/sj.bjc.6603405
309 rdf:type schema:CreativeWork
310 grid-institutes:None schema:alternateName Agency for Regional Health Service, Regione Piemonte, Italy
311 schema:name Agency for Regional Health Service, Regione Piemonte, Italy
312 rdf:type schema:Organization
313 grid-institutes:grid.7445.2 schema:alternateName Department of Epidemiology and Public Health, Imperial College London, London, UK
314 schema:name Department of Epidemiology and Public Health, Imperial College London, London, UK
315 Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy
316 rdf:type schema:Organization
317 grid-institutes:grid.7605.4 schema:alternateName Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy
318 schema:name Department of Psychology, University of Torino, Torino, Italy
319 Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Torino, Italy
320 rdf:type schema:Organization
 




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


...