Cost-effectiveness of computed tomography coronary angiography versus conventional invasive coronary angiography View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-07-03

AUTHORS

Meryl Darlington, Pascal Gueret, Jean-Pierre Laissy, Antoine Filipovic Pierucci, Hassani Maoulida, Céline Quelen, Ralph Niarra, Gilles Chatellier, Isabelle Durand-Zaleski

ABSTRACT

ObjectivesTo determine the costs and cost-effectiveness of a diagnostic strategy including computed tomography coronary angiography (CTCA) in comparison with invasive conventional coronary angiography (CA) for the detection of significant coronary artery disease from the point of view of the healthcare provider.MethodsThe average cost per CTCA was determined via a micro-costing method in four French hospitals, and the cost of CA was taken from the 2011 French National Cost Study that collects data at the patient level from a sample of 51 public or not-for-profit hospitals.ResultsThe average cost of CTCA was estimated to be 180€ (95 % CI 162–206€) based on the use of a 64-slice CT scanner active for 10 h per day. The average cost of CA was estimated to be 1,378€ (95 % CI 1,126–1,670€). The incremental cost-effectiveness ratio of CA for all patients over a strategy including CTCA triage in the intermediate risk group, no imaging test in the low risk group, and CA in the high risk group, was estimated to be 6,380€ (95 % CI 4,714–8,965€) for each additional correctly classified patient. This strategy correctly classifies 95.3 % (95 % CI 94.4–96.2) of all patients in the population studied.ConclusionsA strategy of CTCA triage in the intermediate-risk group, no imaging test in the low-risk group, and CA in the high-risk group, has good diagnostic accuracy and could significantly cut costs. Medium-term and long-term outcomes need to be evaluated in patients with coronary stenosis potentially misclassified by CTCA due to false negative examinations. More... »

PAGES

647-655

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10198-014-0616-2

DOI

http://dx.doi.org/10.1007/s10198-014-0616-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033688753

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24990117


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": "Coronary Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Artery Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Vessels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cost-Benefit Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Length of Stay", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411394.a", 
          "name": [
            "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Darlington", 
        "givenName": "Meryl", 
        "id": "sg:person.01212005056.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212005056.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Henri Mondor Hospital and University of Paris Est Cr\u00e9teil, Cr\u00e9teil, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Cardiology, Henri Mondor Hospital and University of Paris Est Cr\u00e9teil, Cr\u00e9teil, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gueret", 
        "givenName": "Pascal", 
        "id": "sg:person.01371474072.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371474072.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Bichat Hospital and Paris VII University, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.508487.6", 
          "name": [
            "Department of Radiology, Bichat Hospital and Paris VII University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laissy", 
        "givenName": "Jean-Pierre", 
        "id": "sg:person.01020410743.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020410743.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411394.a", 
          "name": [
            "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pierucci", 
        "givenName": "Antoine Filipovic", 
        "id": "sg:person.01140546265.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140546265.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411394.a", 
          "name": [
            "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maoulida", 
        "givenName": "Hassani", 
        "id": "sg:person.01206661465.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206661465.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411394.a", 
          "name": [
            "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Quelen", 
        "givenName": "C\u00e9line", 
        "id": "sg:person.01243037366.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243037366.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Biostatistics, Georges Pompidou Hospital and Paris V University, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.508487.6", 
          "name": [
            "Department of Biostatistics, Georges Pompidou Hospital and Paris V University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niarra", 
        "givenName": "Ralph", 
        "id": "sg:person.0761037460.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761037460.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Biostatistics, Georges Pompidou Hospital and Paris V University, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.508487.6", 
          "name": [
            "Department of Biostatistics, Georges Pompidou Hospital and Paris V University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chatellier", 
        "givenName": "Gilles", 
        "id": "sg:person.0610327425.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610327425.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411394.a", 
          "name": [
            "URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, H\u00f4tel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Durand-Zaleski", 
        "givenName": "Isabelle", 
        "id": "sg:person.01327533357.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327533357.46"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00330-008-1239-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041893376", 
          "https://doi.org/10.1007/s00330-008-1239-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00014088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008401837", 
          "https://doi.org/10.1007/pl00014088"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-07-03", 
    "datePublishedReg": "2014-07-03", 
    "description": "ObjectivesTo determine the costs and cost-effectiveness of a diagnostic strategy including computed tomography coronary angiography (CTCA) in comparison with invasive conventional coronary angiography (CA) for the detection of significant coronary artery disease from the point of view of the healthcare provider.MethodsThe average cost per CTCA was determined via a micro-costing method in four French hospitals, and the cost of CA was taken from the 2011 French National Cost Study that collects data at the patient level from a sample of 51 public or not-for-profit hospitals.ResultsThe average cost of CTCA was estimated to be 180\u20ac (95\u00a0% CI 162\u2013206\u20ac) based on the use of a 64-slice CT scanner active for 10\u00a0h per day. The average cost of CA was estimated to be 1,378\u20ac (95\u00a0% CI 1,126\u20131,670\u20ac). The incremental cost-effectiveness ratio of CA for all patients over a strategy including CTCA triage in the intermediate risk group, no imaging test in the low risk group, and CA in the high risk group, was estimated to be 6,380\u20ac (95\u00a0% CI 4,714\u20138,965\u20ac) for each additional correctly classified patient. This strategy correctly classifies 95.3\u00a0% (95\u00a0% CI 94.4\u201396.2) of all patients in the population studied.ConclusionsA strategy of CTCA triage in the intermediate-risk group, no imaging test in the low-risk group, and CA in the high-risk group, has good diagnostic accuracy and could significantly cut costs. Medium-term and long-term outcomes need to be evaluated in patients with coronary stenosis potentially misclassified by CTCA due to false negative examinations.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10198-014-0616-2", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297512", 
        "issn": [
          "1439-3972", 
          "1439-6637"
        ], 
        "name": "The European Journal of Health Economics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "16"
      }
    ], 
    "keywords": [
      "conventional coronary angiography", 
      "intermediate-risk group", 
      "tomography coronary angiography", 
      "high-risk group", 
      "low-risk group", 
      "coronary angiography", 
      "risk groups", 
      "significant coronary artery disease", 
      "computed tomography coronary angiography", 
      "conventional invasive coronary angiography", 
      "national cost study", 
      "incremental cost-effectiveness ratio", 
      "invasive conventional coronary angiography", 
      "coronary artery disease", 
      "false-negative examinations", 
      "long-term outcomes", 
      "invasive coronary angiography", 
      "cost-effectiveness ratio", 
      "good diagnostic accuracy", 
      "ConclusionsA strategy", 
      "artery disease", 
      "coronary stenosis", 
      "negative examinations", 
      "patient level", 
      "average cost", 
      "healthcare providers", 
      "French hospitals", 
      "patients", 
      "angiography", 
      "diagnostic strategies", 
      "diagnostic accuracy", 
      "CTCA", 
      "hospital", 
      "triage", 
      "group", 
      "CT scanner", 
      "profit hospitals", 
      "stenosis", 
      "cost studies", 
      "ObjectivesTo", 
      "disease", 
      "outcomes", 
      "examination", 
      "days", 
      "test", 
      "providers", 
      "population", 
      "strategies", 
      "levels", 
      "study", 
      "costing method", 
      "use", 
      "scanner", 
      "samples", 
      "data", 
      "detection", 
      "ratio", 
      "comparison", 
      "cost", 
      "point", 
      "method", 
      "view", 
      "accuracy", 
      "point of view"
    ], 
    "name": "Cost-effectiveness of computed tomography coronary angiography versus conventional invasive coronary angiography", 
    "pagination": "647-655", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033688753"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10198-014-0616-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24990117"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10198-014-0616-2", 
      "https://app.dimensions.ai/details/publication/pub.1033688753"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_620.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10198-014-0616-2"
  }
]
 

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/s10198-014-0616-2'

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/s10198-014-0616-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10198-014-0616-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10198-014-0616-2'


 

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

229 TRIPLES      21 PREDICATES      99 URIs      89 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10198-014-0616-2 schema:about N0a705c24bea44e79b93d24028a666761
2 N1124d389d9ca4fe7a12d2fa269817f91
3 N1dabf9811928462e9b6d5431ed7e609c
4 N43381b0e3d09454691dd8ee996ab18a7
5 N7b94f730806d4c4b9f48c02385f959a7
6 Naad3baed58d34d1b80df019ee297d28c
7 Nc9c86084babd4a7b89023e2550a5a95a
8 Ncd81e0b080094828b0ffcb125f364093
9 anzsrc-for:11
10 anzsrc-for:1117
11 schema:author N0fb535c3f6bf44ee99972893fb93bd54
12 schema:citation sg:pub.10.1007/pl00014088
13 sg:pub.10.1007/s00330-008-1239-8
14 schema:datePublished 2014-07-03
15 schema:datePublishedReg 2014-07-03
16 schema:description ObjectivesTo determine the costs and cost-effectiveness of a diagnostic strategy including computed tomography coronary angiography (CTCA) in comparison with invasive conventional coronary angiography (CA) for the detection of significant coronary artery disease from the point of view of the healthcare provider.MethodsThe average cost per CTCA was determined via a micro-costing method in four French hospitals, and the cost of CA was taken from the 2011 French National Cost Study that collects data at the patient level from a sample of 51 public or not-for-profit hospitals.ResultsThe average cost of CTCA was estimated to be 180€ (95 % CI 162–206€) based on the use of a 64-slice CT scanner active for 10 h per day. The average cost of CA was estimated to be 1,378€ (95 % CI 1,126–1,670€). The incremental cost-effectiveness ratio of CA for all patients over a strategy including CTCA triage in the intermediate risk group, no imaging test in the low risk group, and CA in the high risk group, was estimated to be 6,380€ (95 % CI 4,714–8,965€) for each additional correctly classified patient. This strategy correctly classifies 95.3 % (95 % CI 94.4–96.2) of all patients in the population studied.ConclusionsA strategy of CTCA triage in the intermediate-risk group, no imaging test in the low-risk group, and CA in the high-risk group, has good diagnostic accuracy and could significantly cut costs. Medium-term and long-term outcomes need to be evaluated in patients with coronary stenosis potentially misclassified by CTCA due to false negative examinations.
17 schema:genre article
18 schema:isAccessibleForFree false
19 schema:isPartOf N3134dcdba4ff4a74a871fd1a051f54b2
20 N729afd9e24f942389b2e160cdbddc3bb
21 sg:journal.1297512
22 schema:keywords CT scanner
23 CTCA
24 ConclusionsA strategy
25 French hospitals
26 ObjectivesTo
27 accuracy
28 angiography
29 artery disease
30 average cost
31 comparison
32 computed tomography coronary angiography
33 conventional coronary angiography
34 conventional invasive coronary angiography
35 coronary angiography
36 coronary artery disease
37 coronary stenosis
38 cost
39 cost studies
40 cost-effectiveness ratio
41 costing method
42 data
43 days
44 detection
45 diagnostic accuracy
46 diagnostic strategies
47 disease
48 examination
49 false-negative examinations
50 good diagnostic accuracy
51 group
52 healthcare providers
53 high-risk group
54 hospital
55 incremental cost-effectiveness ratio
56 intermediate-risk group
57 invasive conventional coronary angiography
58 invasive coronary angiography
59 levels
60 long-term outcomes
61 low-risk group
62 method
63 national cost study
64 negative examinations
65 outcomes
66 patient level
67 patients
68 point
69 point of view
70 population
71 profit hospitals
72 providers
73 ratio
74 risk groups
75 samples
76 scanner
77 significant coronary artery disease
78 stenosis
79 strategies
80 study
81 test
82 tomography coronary angiography
83 triage
84 use
85 view
86 schema:name Cost-effectiveness of computed tomography coronary angiography versus conventional invasive coronary angiography
87 schema:pagination 647-655
88 schema:productId N0547d4ef3a88417dac2b874799af6970
89 N5c320c223fb84ff2bdb6acc30c7f4b4d
90 Nd4452dabf9f64a0484d4ca7c86db59a1
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033688753
92 https://doi.org/10.1007/s10198-014-0616-2
93 schema:sdDatePublished 2022-10-01T06:39
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher Nec644b7ed694429d8c21b3954819abb9
96 schema:url https://doi.org/10.1007/s10198-014-0616-2
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N0547d4ef3a88417dac2b874799af6970 schema:name dimensions_id
101 schema:value pub.1033688753
102 rdf:type schema:PropertyValue
103 N0900b95ea8214b838b0a34f27917f436 rdf:first sg:person.01206661465.96
104 rdf:rest Nd990671e960246cfb4f11c31cdedfd3d
105 N0a705c24bea44e79b93d24028a666761 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Tomography, X-Ray Computed
107 rdf:type schema:DefinedTerm
108 N0fb535c3f6bf44ee99972893fb93bd54 rdf:first sg:person.01212005056.21
109 rdf:rest N2efd065054384e9e8dd13d2a3c87fc27
110 N1124d389d9ca4fe7a12d2fa269817f91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Coronary Angiography
112 rdf:type schema:DefinedTerm
113 N1dabf9811928462e9b6d5431ed7e609c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Humans
115 rdf:type schema:DefinedTerm
116 N2efd065054384e9e8dd13d2a3c87fc27 rdf:first sg:person.01371474072.93
117 rdf:rest N6a49dc26b12a46079df88d2b71989ad1
118 N3134dcdba4ff4a74a871fd1a051f54b2 schema:volumeNumber 16
119 rdf:type schema:PublicationVolume
120 N43381b0e3d09454691dd8ee996ab18a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Risk Assessment
122 rdf:type schema:DefinedTerm
123 N538d816bf243434086aeda580f9175fc rdf:first sg:person.0610327425.04
124 rdf:rest Nf12db411fc164b1baafba879e3de4b75
125 N5c320c223fb84ff2bdb6acc30c7f4b4d schema:name pubmed_id
126 schema:value 24990117
127 rdf:type schema:PropertyValue
128 N6a49dc26b12a46079df88d2b71989ad1 rdf:first sg:person.01020410743.83
129 rdf:rest Na08c384fcd974c6c8446a7297ebcd005
130 N729afd9e24f942389b2e160cdbddc3bb schema:issueNumber 6
131 rdf:type schema:PublicationIssue
132 N7b94f730806d4c4b9f48c02385f959a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Cost-Benefit Analysis
134 rdf:type schema:DefinedTerm
135 Na08c384fcd974c6c8446a7297ebcd005 rdf:first sg:person.01140546265.12
136 rdf:rest N0900b95ea8214b838b0a34f27917f436
137 Naad3baed58d34d1b80df019ee297d28c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Coronary Vessels
139 rdf:type schema:DefinedTerm
140 Nc9c86084babd4a7b89023e2550a5a95a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Length of Stay
142 rdf:type schema:DefinedTerm
143 Ncd65301fe3b046d4b21e8eec3e618bc3 rdf:first sg:person.0761037460.19
144 rdf:rest N538d816bf243434086aeda580f9175fc
145 Ncd81e0b080094828b0ffcb125f364093 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Coronary Artery Disease
147 rdf:type schema:DefinedTerm
148 Nd4452dabf9f64a0484d4ca7c86db59a1 schema:name doi
149 schema:value 10.1007/s10198-014-0616-2
150 rdf:type schema:PropertyValue
151 Nd990671e960246cfb4f11c31cdedfd3d rdf:first sg:person.01243037366.63
152 rdf:rest Ncd65301fe3b046d4b21e8eec3e618bc3
153 Nec644b7ed694429d8c21b3954819abb9 schema:name Springer Nature - SN SciGraph project
154 rdf:type schema:Organization
155 Nf12db411fc164b1baafba879e3de4b75 rdf:first sg:person.01327533357.46
156 rdf:rest rdf:nil
157 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
158 schema:name Medical and Health Sciences
159 rdf:type schema:DefinedTerm
160 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
161 schema:name Public Health and Health Services
162 rdf:type schema:DefinedTerm
163 sg:journal.1297512 schema:issn 1439-3972
164 1439-6637
165 schema:name The European Journal of Health Economics
166 schema:publisher Springer Nature
167 rdf:type schema:Periodical
168 sg:person.01020410743.83 schema:affiliation grid-institutes:grid.508487.6
169 schema:familyName Laissy
170 schema:givenName Jean-Pierre
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020410743.83
172 rdf:type schema:Person
173 sg:person.01140546265.12 schema:affiliation grid-institutes:grid.411394.a
174 schema:familyName Pierucci
175 schema:givenName Antoine Filipovic
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140546265.12
177 rdf:type schema:Person
178 sg:person.01206661465.96 schema:affiliation grid-institutes:grid.411394.a
179 schema:familyName Maoulida
180 schema:givenName Hassani
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206661465.96
182 rdf:type schema:Person
183 sg:person.01212005056.21 schema:affiliation grid-institutes:grid.411394.a
184 schema:familyName Darlington
185 schema:givenName Meryl
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212005056.21
187 rdf:type schema:Person
188 sg:person.01243037366.63 schema:affiliation grid-institutes:grid.411394.a
189 schema:familyName Quelen
190 schema:givenName Céline
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243037366.63
192 rdf:type schema:Person
193 sg:person.01327533357.46 schema:affiliation grid-institutes:grid.411394.a
194 schema:familyName Durand-Zaleski
195 schema:givenName Isabelle
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327533357.46
197 rdf:type schema:Person
198 sg:person.01371474072.93 schema:affiliation grid-institutes:None
199 schema:familyName Gueret
200 schema:givenName Pascal
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371474072.93
202 rdf:type schema:Person
203 sg:person.0610327425.04 schema:affiliation grid-institutes:grid.508487.6
204 schema:familyName Chatellier
205 schema:givenName Gilles
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610327425.04
207 rdf:type schema:Person
208 sg:person.0761037460.19 schema:affiliation grid-institutes:grid.508487.6
209 schema:familyName Niarra
210 schema:givenName Ralph
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761037460.19
212 rdf:type schema:Person
213 sg:pub.10.1007/pl00014088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008401837
214 https://doi.org/10.1007/pl00014088
215 rdf:type schema:CreativeWork
216 sg:pub.10.1007/s00330-008-1239-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041893376
217 https://doi.org/10.1007/s00330-008-1239-8
218 rdf:type schema:CreativeWork
219 grid-institutes:None schema:alternateName Department of Cardiology, Henri Mondor Hospital and University of Paris Est Créteil, Créteil, France
220 schema:name Department of Cardiology, Henri Mondor Hospital and University of Paris Est Créteil, Créteil, France
221 rdf:type schema:Organization
222 grid-institutes:grid.411394.a schema:alternateName URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, Hôtel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France
223 schema:name URC Eco IdF, Paris Health Economics and Health Services Research Unit, AP-HP, Hôtel Dieu, 1 Place du Parvis Notre Dame, 75004, Paris, France
224 rdf:type schema:Organization
225 grid-institutes:grid.508487.6 schema:alternateName Department of Biostatistics, Georges Pompidou Hospital and Paris V University, Paris, France
226 Department of Radiology, Bichat Hospital and Paris VII University, Paris, France
227 schema:name Department of Biostatistics, Georges Pompidou Hospital and Paris V University, Paris, France
228 Department of Radiology, Bichat Hospital and Paris VII University, Paris, France
229 rdf:type schema:Organization
 




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


...