Cost profiles of colorectal cancer patients in Italy based on individual patterns of care View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-07-05

AUTHORS

Silvia Francisci, Stefano Guzzinati, Maura Mezzetti, Emanuele Crocetti, Francesco Giusti, Guido Miccinesi, Eugenio Paci, Catia Angiolini, Anna Gigli

ABSTRACT

BACKGROUND: Due to changes in cancer-related risk factors, improvements in diagnostic procedures and treatments, and the aging of the population, in most developed countries cancer accounts for an increasing proportion of health care expenditures. The analysis of cancer-related costs is a topic of several economic and epidemiological studies and represents a research area of great interest to public health planners and policy makers. In Italy studies are limited either to some specific types of expenditures or to specific groups of cancer patients. Aim of the paper is to estimate the distribution of cancer survivors and associated health care expenditures according to a disease pathway which identifies three clinically relevant phases: initial (one year following diagnosis), continuing (between initial and final) and final (one year before death). METHODS: The methodology proposed is based on the reconstruction of patterns of care at individual level by combining different data sources, surveillance data and administrative data, in areas covered by cancer registration. RESULTS: A total colorectal cancer-related expenditure of 77.8 million Euros for 18012 patients (corresponding to about 4300 Euros per capita) is estimated in 2006 in two Italian areas located in Tuscany and Veneto regions, respectively. Cost of care varies according to the care pathway: 11% of patients were in the initial phase, and consumed 34% of total expenditure; patients in the final (6%) and in the continuing (83%) phase consumed 23% and 43% of the budget, respectively. There is an association between patterns of care/costs and patients characteristics such as stage and age at diagnosis. CONCLUSIONS: This paper represents the first attempt to attribute health care expenditures in Italy to specific phases of disease, according to varying treatment approaches, surveillance strategies and management of relapses, palliative care. The association between stage at diagnosis, profile of therapies and costs supports the idea that primary prevention and early detection play an important role in a public health perspective. Results from this pilot study encourage the use of such analyses in a public health perspective, to increase understanding of patient outcomes and economic consequences of differences in policies related to cancer screening, treatment, and programs of care. More... »

PAGES

329-329

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2407-13-329

DOI

http://dx.doi.org/10.1186/1471-2407-13-329

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035116599

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23826976


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/2008/1117", 
        "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": "Adolescent", 
        "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": "Colorectal Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Care Costs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Expenditures", 
        "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": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Registries", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanit\u00e0, Roma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanit\u00e0, Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Francisci", 
        "givenName": "Silvia", 
        "id": "sg:person.0612372037.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612372037.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Registro Tumori del Veneto, Istituto Oncologico Veneto-IRCCS, Padova, Italy", 
          "id": "http://www.grid.ac/institutes/grid.419546.b", 
          "name": [
            "Registro Tumori del Veneto, Istituto Oncologico Veneto-IRCCS, Padova, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guzzinati", 
        "givenName": "Stefano", 
        "id": "sg:person.01047525045.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047525045.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento SEFeMEQ, Universit\u00e0\u201cTor Vergata\u201d, Roma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6530.0", 
          "name": [
            "Dipartimento SEFeMEQ, Universit\u00e0\u201cTor Vergata\u201d, Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mezzetti", 
        "givenName": "Maura", 
        "id": "sg:person.01153341703.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153341703.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Registro Tumori della Regione Toscana-ISPO, Firenze, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Registro Tumori della Regione Toscana-ISPO, Firenze, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Crocetti", 
        "givenName": "Emanuele", 
        "id": "sg:person.0700466552.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700466552.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Registro Tumori della Regione Toscana-ISPO, Firenze, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Registro Tumori della Regione Toscana-ISPO, Firenze, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giusti", 
        "givenName": "Francesco", 
        "id": "sg:person.01357773725.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357773725.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Registro Tumori della Regione Toscana-ISPO, Firenze, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Registro Tumori della Regione Toscana-ISPO, Firenze, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miccinesi", 
        "givenName": "Guido", 
        "id": "sg:person.0602625725.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602625725.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Registro Tumori della Regione Toscana-ISPO, Firenze, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Registro Tumori della Regione Toscana-ISPO, Firenze, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paci", 
        "givenName": "Eugenio", 
        "id": "sg:person.01372154307.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372154307.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento di Oncologia, ASF, Firenze, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Dipartimento di Oncologia, ASF, Firenze, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Angiolini", 
        "givenName": "Catia", 
        "id": "sg:person.0660412603.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660412603.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Istituto di Ricerche sulla Popolazione e le Politiche Sociali, Consiglio Nazionale delle Ricerche, via Palestro 32, 00185, Roma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.503069.9", 
          "name": [
            "Istituto di Ricerche sulla Popolazione e le Politiche Sociali, Consiglio Nazionale delle Ricerche, via Palestro 32, 00185, Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gigli", 
        "givenName": "Anna", 
        "id": "sg:person.01013070325.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013070325.09"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/bjc.2011.417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018487536", 
          "https://doi.org/10.1038/bjc.2011.417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-006-0072-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004411026", 
          "https://doi.org/10.1007/s10552-006-0072-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-88441-7_14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1089748989", 
          "https://doi.org/10.1007/978-0-387-88441-7_14"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-07-05", 
    "datePublishedReg": "2013-07-05", 
    "description": "BACKGROUND: Due to changes in cancer-related risk factors, improvements in diagnostic procedures and treatments, and the aging of the population, in most developed countries cancer accounts for an increasing proportion of health care expenditures. The analysis of cancer-related costs is a topic of several economic and epidemiological studies and represents a research area of great interest to public health planners and policy makers. In Italy studies are limited either to some specific types of expenditures or to specific groups of cancer patients. Aim of the paper is to estimate the distribution of cancer survivors and associated health care expenditures according to a disease pathway which identifies three clinically relevant phases: initial (one year following diagnosis), continuing (between initial and final) and final (one year before death).\nMETHODS: The methodology proposed is based on the reconstruction of patterns of care at individual level by combining different data sources, surveillance data and administrative data, in areas covered by cancer registration.\nRESULTS: A total colorectal cancer-related expenditure of 77.8 million Euros for 18012 patients (corresponding to about 4300 Euros per capita) is estimated in 2006 in two Italian areas located in Tuscany and Veneto regions, respectively. Cost of care varies according to the care pathway: 11% of patients were in the initial phase, and consumed 34% of total expenditure; patients in the final (6%) and in the continuing (83%) phase consumed 23% and 43% of the budget, respectively. There is an association between patterns of care/costs and patients characteristics such as stage and age at diagnosis.\nCONCLUSIONS: This paper represents the first attempt to attribute health care expenditures in Italy to specific phases of disease, according to varying treatment approaches, surveillance strategies and management of relapses, palliative care. The association between stage at diagnosis, profile of therapies and costs supports the idea that primary prevention and early detection play an important role in a public health perspective. Results from this pilot study encourage the use of such analyses in a public health perspective, to increase understanding of patient outcomes and economic consequences of differences in policies related to cancer screening, treatment, and programs of care.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/1471-2407-13-329", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024632", 
        "issn": [
          "1471-2407"
        ], 
        "name": "BMC Cancer", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "keywords": [
      "health care expenditures", 
      "public health perspective", 
      "cancer patients", 
      "care expenditures", 
      "cancer-related risk factors", 
      "associated health care expenditures", 
      "health perspective", 
      "colorectal cancer patients", 
      "management of relapse", 
      "program of care", 
      "cancer-related costs", 
      "public health planners", 
      "patient characteristics", 
      "cancer survivors", 
      "palliative care", 
      "primary prevention", 
      "cancer screening", 
      "risk factors", 
      "cancer accounts", 
      "care pathway", 
      "patient outcomes", 
      "epidemiological studies", 
      "cancer registration", 
      "care varies", 
      "treatment approaches", 
      "patients", 
      "surveillance strategies", 
      "health planners", 
      "diagnostic procedures", 
      "Italy study", 
      "surveillance data", 
      "early detection", 
      "pilot study", 
      "care", 
      "administrative data", 
      "disease pathways", 
      "diagnosis", 
      "treatment", 
      "Italian areas", 
      "Veneto region", 
      "association", 
      "individual patterns", 
      "relapse", 
      "total expenditure", 
      "cost profiles", 
      "specific groups", 
      "therapy", 
      "pathway", 
      "disease", 
      "survivors", 
      "important role", 
      "study", 
      "prevention", 
      "expenditure", 
      "initial phase", 
      "age", 
      "outcomes", 
      "individual level", 
      "specific phases", 
      "specific types", 
      "screening", 
      "economic consequences", 
      "group", 
      "patterns", 
      "profile", 
      "population", 
      "proportion", 
      "stage", 
      "management", 
      "aging", 
      "factors", 
      "levels", 
      "data", 
      "differences", 
      "area", 
      "role", 
      "procedure", 
      "policy makers", 
      "Italy", 
      "improvement", 
      "analysis", 
      "changes", 
      "use", 
      "data sources", 
      "program", 
      "reconstruction", 
      "first attempt", 
      "registration", 
      "consequences", 
      "strategies", 
      "detection", 
      "types", 
      "varies", 
      "great interest", 
      "phase", 
      "euro", 
      "cost", 
      "results", 
      "understanding", 
      "characteristics", 
      "attempt", 
      "perspective", 
      "Tuscany", 
      "region", 
      "interest", 
      "different data sources", 
      "approach", 
      "topic", 
      "such analyses", 
      "makers", 
      "distribution", 
      "source", 
      "relevant phases", 
      "policy", 
      "account", 
      "research area", 
      "methodology", 
      "planners", 
      "idea", 
      "budget", 
      "paper", 
      "reconstruction of patterns", 
      "developed countries cancer accounts", 
      "countries cancer accounts", 
      "total colorectal cancer-related expenditure", 
      "colorectal cancer-related expenditure", 
      "cancer-related expenditure", 
      "care/costs", 
      "profile of therapies"
    ], 
    "name": "Cost profiles of colorectal cancer patients in Italy based on individual patterns of care", 
    "pagination": "329-329", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1035116599"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2407-13-329"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23826976"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2407-13-329", 
      "https://app.dimensions.ai/details/publication/pub.1035116599"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:29", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_591.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/1471-2407-13-329"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-13-329'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-13-329'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-13-329'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-13-329'


 

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

329 TRIPLES      22 PREDICATES      172 URIs      161 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2407-13-329 schema:about N0209ee0129b443d4a21c8b7f9b3bcb5f
2 N3baa7ed7b23f44079625bcc0ec000748
3 N467f564234cf429d8b88e4118b4cde0d
4 N6eeb11b1595f410e98aab7bae577b616
5 N8129e55a22da4e1fb7d3d43ff0f5f0b4
6 N8bddd5b7bd684551b7f697cb52ed5184
7 Na174f2b0230b462caa4364641079a477
8 Nb704a0c548384216aaa22ac1e30230fc
9 Nbc7b4904fd9c4cf8ab55b80a55d57f1e
10 Nbf2d543ed2804c1ea631b2e99553338c
11 Nbffaf8e90662430f887955ab6d4f4035
12 Nf78a0108d9f24ddb9c06ad4552276cc0
13 Nf7ac16052af849338cb7102adfbad33f
14 Nfb3dca32e825421eb317e6faf00d0c72
15 anzsrc-for:11
16 anzsrc-for:1117
17 schema:author Nf7a6cc460fcc429eacd9531f891ba518
18 schema:citation sg:pub.10.1007/978-0-387-88441-7_14
19 sg:pub.10.1007/s10552-006-0072-0
20 sg:pub.10.1038/bjc.2011.417
21 schema:datePublished 2013-07-05
22 schema:datePublishedReg 2013-07-05
23 schema:description BACKGROUND: Due to changes in cancer-related risk factors, improvements in diagnostic procedures and treatments, and the aging of the population, in most developed countries cancer accounts for an increasing proportion of health care expenditures. The analysis of cancer-related costs is a topic of several economic and epidemiological studies and represents a research area of great interest to public health planners and policy makers. In Italy studies are limited either to some specific types of expenditures or to specific groups of cancer patients. Aim of the paper is to estimate the distribution of cancer survivors and associated health care expenditures according to a disease pathway which identifies three clinically relevant phases: initial (one year following diagnosis), continuing (between initial and final) and final (one year before death). METHODS: The methodology proposed is based on the reconstruction of patterns of care at individual level by combining different data sources, surveillance data and administrative data, in areas covered by cancer registration. RESULTS: A total colorectal cancer-related expenditure of 77.8 million Euros for 18012 patients (corresponding to about 4300 Euros per capita) is estimated in 2006 in two Italian areas located in Tuscany and Veneto regions, respectively. Cost of care varies according to the care pathway: 11% of patients were in the initial phase, and consumed 34% of total expenditure; patients in the final (6%) and in the continuing (83%) phase consumed 23% and 43% of the budget, respectively. There is an association between patterns of care/costs and patients characteristics such as stage and age at diagnosis. CONCLUSIONS: This paper represents the first attempt to attribute health care expenditures in Italy to specific phases of disease, according to varying treatment approaches, surveillance strategies and management of relapses, palliative care. The association between stage at diagnosis, profile of therapies and costs supports the idea that primary prevention and early detection play an important role in a public health perspective. Results from this pilot study encourage the use of such analyses in a public health perspective, to increase understanding of patient outcomes and economic consequences of differences in policies related to cancer screening, treatment, and programs of care.
24 schema:genre article
25 schema:inLanguage en
26 schema:isAccessibleForFree true
27 schema:isPartOf N22428b6a6fa948d19fd95db471b181d9
28 N4d1f40cd42e5456cb679d7bcab069bef
29 sg:journal.1024632
30 schema:keywords Italian areas
31 Italy
32 Italy study
33 Tuscany
34 Veneto region
35 account
36 administrative data
37 age
38 aging
39 analysis
40 approach
41 area
42 associated health care expenditures
43 association
44 attempt
45 budget
46 cancer accounts
47 cancer patients
48 cancer registration
49 cancer screening
50 cancer survivors
51 cancer-related costs
52 cancer-related expenditure
53 cancer-related risk factors
54 care
55 care expenditures
56 care pathway
57 care varies
58 care/costs
59 changes
60 characteristics
61 colorectal cancer patients
62 colorectal cancer-related expenditure
63 consequences
64 cost
65 cost profiles
66 countries cancer accounts
67 data
68 data sources
69 detection
70 developed countries cancer accounts
71 diagnosis
72 diagnostic procedures
73 differences
74 different data sources
75 disease
76 disease pathways
77 distribution
78 early detection
79 economic consequences
80 epidemiological studies
81 euro
82 expenditure
83 factors
84 first attempt
85 great interest
86 group
87 health care expenditures
88 health perspective
89 health planners
90 idea
91 important role
92 improvement
93 individual level
94 individual patterns
95 initial phase
96 interest
97 levels
98 makers
99 management
100 management of relapse
101 methodology
102 outcomes
103 palliative care
104 paper
105 pathway
106 patient characteristics
107 patient outcomes
108 patients
109 patterns
110 perspective
111 phase
112 pilot study
113 planners
114 policy
115 policy makers
116 population
117 prevention
118 primary prevention
119 procedure
120 profile
121 profile of therapies
122 program
123 program of care
124 proportion
125 public health perspective
126 public health planners
127 reconstruction
128 reconstruction of patterns
129 region
130 registration
131 relapse
132 relevant phases
133 research area
134 results
135 risk factors
136 role
137 screening
138 source
139 specific groups
140 specific phases
141 specific types
142 stage
143 strategies
144 study
145 such analyses
146 surveillance data
147 surveillance strategies
148 survivors
149 therapy
150 topic
151 total colorectal cancer-related expenditure
152 total expenditure
153 treatment
154 treatment approaches
155 types
156 understanding
157 use
158 varies
159 schema:name Cost profiles of colorectal cancer patients in Italy based on individual patterns of care
160 schema:pagination 329-329
161 schema:productId N26e30422fbc543c894c23f66efa8507c
162 N4a06c88520df472184e0d7904d8ccc1c
163 N8abff8a4234f4e36a1f3ca3b6e2fd6d3
164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035116599
165 https://doi.org/10.1186/1471-2407-13-329
166 schema:sdDatePublished 2022-01-01T18:29
167 schema:sdLicense https://scigraph.springernature.com/explorer/license/
168 schema:sdPublisher N13f48d0bbc3644f8a96a2da58d73e7f6
169 schema:url https://doi.org/10.1186/1471-2407-13-329
170 sgo:license sg:explorer/license/
171 sgo:sdDataset articles
172 rdf:type schema:ScholarlyArticle
173 N0209ee0129b443d4a21c8b7f9b3bcb5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Aged, 80 and over
175 rdf:type schema:DefinedTerm
176 N069edfec63764a78ad5b9fc1a7b460a6 rdf:first sg:person.01047525045.00
177 rdf:rest Ne8bf24381b2e43c481fcdbff42855bb2
178 N13f48d0bbc3644f8a96a2da58d73e7f6 schema:name Springer Nature - SN SciGraph project
179 rdf:type schema:Organization
180 N15a1bb43189145a5a70f9278948e2f7b rdf:first sg:person.01372154307.39
181 rdf:rest Nabda8c52a73a40bcaf2266f898338f24
182 N22428b6a6fa948d19fd95db471b181d9 schema:volumeNumber 13
183 rdf:type schema:PublicationVolume
184 N25fee5fca70e42c8bfc5c31b17724326 rdf:first sg:person.0602625725.40
185 rdf:rest N15a1bb43189145a5a70f9278948e2f7b
186 N26e30422fbc543c894c23f66efa8507c schema:name dimensions_id
187 schema:value pub.1035116599
188 rdf:type schema:PropertyValue
189 N3baa7ed7b23f44079625bcc0ec000748 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Adult
191 rdf:type schema:DefinedTerm
192 N467f564234cf429d8b88e4118b4cde0d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
193 schema:name Health Expenditures
194 rdf:type schema:DefinedTerm
195 N4a06c88520df472184e0d7904d8ccc1c schema:name doi
196 schema:value 10.1186/1471-2407-13-329
197 rdf:type schema:PropertyValue
198 N4d1f40cd42e5456cb679d7bcab069bef schema:issueNumber 1
199 rdf:type schema:PublicationIssue
200 N6eeb11b1595f410e98aab7bae577b616 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
201 schema:name Female
202 rdf:type schema:DefinedTerm
203 N8129e55a22da4e1fb7d3d43ff0f5f0b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
204 schema:name Male
205 rdf:type schema:DefinedTerm
206 N8ab34454944d4bdeb664e25eeafb2ffd rdf:first sg:person.01357773725.71
207 rdf:rest N25fee5fca70e42c8bfc5c31b17724326
208 N8abff8a4234f4e36a1f3ca3b6e2fd6d3 schema:name pubmed_id
209 schema:value 23826976
210 rdf:type schema:PropertyValue
211 N8bddd5b7bd684551b7f697cb52ed5184 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
212 schema:name Registries
213 rdf:type schema:DefinedTerm
214 Na174f2b0230b462caa4364641079a477 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
215 schema:name Middle Aged
216 rdf:type schema:DefinedTerm
217 Nabda8c52a73a40bcaf2266f898338f24 rdf:first sg:person.0660412603.84
218 rdf:rest Nbb5993443b2f437385a8fba48fa810fc
219 Nb704a0c548384216aaa22ac1e30230fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
220 schema:name Colorectal Neoplasms
221 rdf:type schema:DefinedTerm
222 Nbb5993443b2f437385a8fba48fa810fc rdf:first sg:person.01013070325.09
223 rdf:rest rdf:nil
224 Nbc7b4904fd9c4cf8ab55b80a55d57f1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
225 schema:name Adolescent
226 rdf:type schema:DefinedTerm
227 Nbdad27d890014a9ea1bf08c622537c87 rdf:first sg:person.0700466552.06
228 rdf:rest N8ab34454944d4bdeb664e25eeafb2ffd
229 Nbf2d543ed2804c1ea631b2e99553338c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
230 schema:name Humans
231 rdf:type schema:DefinedTerm
232 Nbffaf8e90662430f887955ab6d4f4035 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
233 schema:name Health Care Costs
234 rdf:type schema:DefinedTerm
235 Ne8bf24381b2e43c481fcdbff42855bb2 rdf:first sg:person.01153341703.05
236 rdf:rest Nbdad27d890014a9ea1bf08c622537c87
237 Nf78a0108d9f24ddb9c06ad4552276cc0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
238 schema:name Aged
239 rdf:type schema:DefinedTerm
240 Nf7a6cc460fcc429eacd9531f891ba518 rdf:first sg:person.0612372037.40
241 rdf:rest N069edfec63764a78ad5b9fc1a7b460a6
242 Nf7ac16052af849338cb7102adfbad33f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
243 schema:name Young Adult
244 rdf:type schema:DefinedTerm
245 Nfb3dca32e825421eb317e6faf00d0c72 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
246 schema:name Italy
247 rdf:type schema:DefinedTerm
248 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
249 schema:name Medical and Health Sciences
250 rdf:type schema:DefinedTerm
251 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
252 schema:name Public Health and Health Services
253 rdf:type schema:DefinedTerm
254 sg:journal.1024632 schema:issn 1471-2407
255 schema:name BMC Cancer
256 schema:publisher Springer Nature
257 rdf:type schema:Periodical
258 sg:person.01013070325.09 schema:affiliation grid-institutes:grid.503069.9
259 schema:familyName Gigli
260 schema:givenName Anna
261 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013070325.09
262 rdf:type schema:Person
263 sg:person.01047525045.00 schema:affiliation grid-institutes:grid.419546.b
264 schema:familyName Guzzinati
265 schema:givenName Stefano
266 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047525045.00
267 rdf:type schema:Person
268 sg:person.01153341703.05 schema:affiliation grid-institutes:grid.6530.0
269 schema:familyName Mezzetti
270 schema:givenName Maura
271 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153341703.05
272 rdf:type schema:Person
273 sg:person.01357773725.71 schema:affiliation grid-institutes:grid.417623.5
274 schema:familyName Giusti
275 schema:givenName Francesco
276 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357773725.71
277 rdf:type schema:Person
278 sg:person.01372154307.39 schema:affiliation grid-institutes:grid.417623.5
279 schema:familyName Paci
280 schema:givenName Eugenio
281 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372154307.39
282 rdf:type schema:Person
283 sg:person.0602625725.40 schema:affiliation grid-institutes:grid.417623.5
284 schema:familyName Miccinesi
285 schema:givenName Guido
286 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602625725.40
287 rdf:type schema:Person
288 sg:person.0612372037.40 schema:affiliation grid-institutes:grid.416651.1
289 schema:familyName Francisci
290 schema:givenName Silvia
291 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612372037.40
292 rdf:type schema:Person
293 sg:person.0660412603.84 schema:affiliation grid-institutes:None
294 schema:familyName Angiolini
295 schema:givenName Catia
296 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660412603.84
297 rdf:type schema:Person
298 sg:person.0700466552.06 schema:affiliation grid-institutes:grid.417623.5
299 schema:familyName Crocetti
300 schema:givenName Emanuele
301 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700466552.06
302 rdf:type schema:Person
303 sg:pub.10.1007/978-0-387-88441-7_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089748989
304 https://doi.org/10.1007/978-0-387-88441-7_14
305 rdf:type schema:CreativeWork
306 sg:pub.10.1007/s10552-006-0072-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004411026
307 https://doi.org/10.1007/s10552-006-0072-0
308 rdf:type schema:CreativeWork
309 sg:pub.10.1038/bjc.2011.417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018487536
310 https://doi.org/10.1038/bjc.2011.417
311 rdf:type schema:CreativeWork
312 grid-institutes:None schema:alternateName Dipartimento di Oncologia, ASF, Firenze, Italy
313 schema:name Dipartimento di Oncologia, ASF, Firenze, Italy
314 rdf:type schema:Organization
315 grid-institutes:grid.416651.1 schema:alternateName Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, Roma, Italy
316 schema:name Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, Roma, Italy
317 rdf:type schema:Organization
318 grid-institutes:grid.417623.5 schema:alternateName Registro Tumori della Regione Toscana-ISPO, Firenze, Italy
319 schema:name Registro Tumori della Regione Toscana-ISPO, Firenze, Italy
320 rdf:type schema:Organization
321 grid-institutes:grid.419546.b schema:alternateName Registro Tumori del Veneto, Istituto Oncologico Veneto-IRCCS, Padova, Italy
322 schema:name Registro Tumori del Veneto, Istituto Oncologico Veneto-IRCCS, Padova, Italy
323 rdf:type schema:Organization
324 grid-institutes:grid.503069.9 schema:alternateName Istituto di Ricerche sulla Popolazione e le Politiche Sociali, Consiglio Nazionale delle Ricerche, via Palestro 32, 00185, Roma, Italy
325 schema:name Istituto di Ricerche sulla Popolazione e le Politiche Sociali, Consiglio Nazionale delle Ricerche, via Palestro 32, 00185, Roma, Italy
326 rdf:type schema:Organization
327 grid-institutes:grid.6530.0 schema:alternateName Dipartimento SEFeMEQ, Università“Tor Vergata”, Roma, Italy
328 schema:name Dipartimento SEFeMEQ, Università“Tor Vergata”, Roma, Italy
329 rdf:type schema:Organization
 




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


...