Cost-effectiveness of SelectMDx for prostate cancer in four European countries: a comparative modeling study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Tim M. Govers, Daphne Hessels, Virginie Vlaeminck-Guillem, Bernd J. Schmitz-Dräger, Christian G. Stief, Claudio Martinez-Ballesteros, Matteo Ferro, Angel Borque-Fernando, Jose Rubio-Briones, J. P. Michiel Sedelaar, Wim van Criekinge, Jack A. Schalken

ABSTRACT

BACKGROUND: Low specificity of prostate-specific antigen results in a considerable number of unnecessary prostate biopsies in current practice. SelectMDx® predicts significant prostate cancer upon biopsy and is used to reduce the number of unnecessary initial prostate biopsies. Furthermore, potential overtreatment of insignificant prostate cancer can be reduced. Besides the diagnostic accuracy of the test, also the context in a specific country determines the potential health benefit and cost-effectiveness. Therefore, the health benefit and cost-effectiveness of SelectMDx were assessed in France, Germany, Italy, and Spain. SUBJECT AND METHODS: A decision model was used to compare the current standard of care in which men undergo initial prostate biopsy in case of an elevated prostate-specific antigen, to a strategy in which SelectMDx was used to select men for biopsy. Model inputs most relevant to each of the four countries were obtained. With use of the model long-term quality-adjusted life years (QALYs) and healthcare costs were calculated for both strategies. RESULTS: In all four countries, the SelectMDx resulted in QALY gain and cost savings compared with the current standard of care. In France, SelectMDx resulted in 0.022 QALYs gained and cost savings of €1217 per patient. For Germany, the model showed a QALY gain of 0.016 and a cost saving of €442. In Italy, the QALY gain and cost savings were 0.031 and €762. In Spain 0.020 QALYs were gained and €250 costs were saved. CONCLUSIONS: The results of the model showed that with SelectMDx, QALYs could be gained while saving healthcare costs in the initial diagnosis of prostate cancer. The significant presence of overtreatment in the current standard of care in all four countries was the main factor that resulted in the beneficial outcomes with SelectMDx. More... »

PAGES

101-109

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41391-018-0076-3

DOI

http://dx.doi.org/10.1038/s41391-018-0076-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106250560

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30127462


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biopsy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Clinical Decision-Making", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cost-Benefit Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Decision Trees", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Europe", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "France", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Germany", 
        "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": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Public Health Surveillance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality of Life", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality-Adjusted Life Years", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Spain", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "MedValue, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Govers", 
        "givenName": "Tim M.", 
        "id": "sg:person.01012410703.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012410703.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "MDxHealth BV, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hessels", 
        "givenName": "Daphne", 
        "id": "sg:person.01136456165.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136456165.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospices Civils de Lyon", 
          "id": "https://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Medical Unit of Molecular Oncology and Transfer, Department of Biochemistry and Molecular Biology, University Hospital of Lyon-Sud, Hospices Civils of Lyon, Lyon, France", 
            "Cancer Research Centre of Lyon, U1052 INSERM, CNRS 5286, L\u00e9on B\u00e9rard Centre, Lyon I University, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vlaeminck-Guillem", 
        "givenName": "Virginie", 
        "id": "sg:person.0642635567.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642635567.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Erlangen-Nuremberg", 
          "id": "https://www.grid.ac/institutes/grid.5330.5", 
          "name": [
            "BSD: Urologie24, Nuremberg and Dept. of Urology, Friedrich-Alexander University, Erlangen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmitz-Dr\u00e4ger", 
        "givenName": "Bernd J.", 
        "id": "sg:person.0761212356.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761212356.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ludwig Maximilian University of Munich", 
          "id": "https://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Department of Urology, Ludwig Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stief", 
        "givenName": "Christian G.", 
        "id": "sg:person.010164650137.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010164650137.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Puerta de Hierro Majadahonda", 
          "id": "https://www.grid.ac/institutes/grid.73221.35", 
          "name": [
            "Urology department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martinez-Ballesteros", 
        "givenName": "Claudio", 
        "id": "sg:person.0614364161.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614364161.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Institute of Oncology", 
          "id": "https://www.grid.ac/institutes/grid.15667.33", 
          "name": [
            "Division of Urology, European Institute of Oncology, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferro", 
        "givenName": "Matteo", 
        "id": "sg:person.01145773223.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145773223.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Miguel Servet", 
          "id": "https://www.grid.ac/institutes/grid.411106.3", 
          "name": [
            "Department of Urology, Hospital Universitatio Miguel Servet, IIS-Arag\u00f3n, Zaragoza, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Borque-Fernando", 
        "givenName": "Angel", 
        "id": "sg:person.01372404637.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372404637.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fundaci\u00f3n Instituto Valenciano de Oncolog\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.418082.7", 
          "name": [
            "Department of Urology, Fundaci\u00f3n instituto Valenciano, de oncolog\u00eda, Valencia, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rubio-Briones", 
        "givenName": "Jose", 
        "id": "sg:person.01062032457.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062032457.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Radboud University Nijmegen Medical Centre", 
          "id": "https://www.grid.ac/institutes/grid.10417.33", 
          "name": [
            "Department of Urology, Radboudumc, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sedelaar", 
        "givenName": "J. P. Michiel", 
        "id": "sg:person.01305232241.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305232241.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Criekinge", 
        "givenName": "Wim", 
        "id": "sg:person.01035674133.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035674133.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Radboud University Nijmegen Medical Centre", 
          "id": "https://www.grid.ac/institutes/grid.10417.33", 
          "name": [
            "Department of Urology, Radboudumc, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schalken", 
        "givenName": "Jack A.", 
        "id": "sg:person.0703572542.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703572542.91"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1136/bmjopen-2014-006674", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002537462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1201637", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005348698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2016.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007969242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrurol.2016.45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012770436", 
          "https://doi.org/10.1038/nrurol.2016.45"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1606220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020137376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.pcan.4500963", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020290983", 
          "https://doi.org/10.1038/sj.pcan.4500963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.pcan.4500963", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020290983", 
          "https://doi.org/10.1038/sj.pcan.4500963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1311593", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020594922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djp001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031887748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1541-0420.2007.00825.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034224306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2005.08.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035855791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2005.08.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035855791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199104253241702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045536165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2014.10.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049428267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2016.06.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050492283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2012.11.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052564063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2012.11.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052564063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/009286150103500122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063722894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/009286150103500122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063722894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/bju.13861", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084210827"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "BACKGROUND: Low specificity of prostate-specific antigen results in a considerable number of unnecessary prostate biopsies in current practice. SelectMDx\u00ae predicts significant prostate cancer upon biopsy and is used to reduce the number of unnecessary initial prostate biopsies. Furthermore, potential overtreatment of insignificant prostate cancer can be reduced. Besides the diagnostic accuracy of the test, also the context in a specific country determines the potential health benefit and cost-effectiveness. Therefore, the health benefit and cost-effectiveness of SelectMDx were assessed in France, Germany, Italy, and Spain.\nSUBJECT AND METHODS: A decision model was used to compare the current standard of care in which men undergo initial prostate biopsy in case of an elevated prostate-specific antigen, to a strategy in which SelectMDx was used to select men for biopsy. Model inputs most relevant to each of the four countries were obtained. With use of the model long-term quality-adjusted life years (QALYs) and healthcare costs were calculated for both strategies.\nRESULTS: In all four countries, the SelectMDx resulted in QALY gain and cost savings compared with the current standard of care. In France, SelectMDx resulted in 0.022 QALYs gained and cost savings of \u20ac1217 per patient. For Germany, the model showed a QALY gain of 0.016 and a cost saving of \u20ac442. In Italy, the QALY gain and cost savings were 0.031 and \u20ac762. In Spain 0.020 QALYs were gained and \u20ac250 costs were saved.\nCONCLUSIONS: The results of the model showed that with SelectMDx, QALYs could be gained while saving healthcare costs in the initial diagnosis of prostate cancer. The significant presence of overtreatment in the current standard of care in all four countries was the main factor that resulted in the beneficial outcomes with SelectMDx.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41391-018-0076-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1119336", 
        "issn": [
          "1365-7852", 
          "1476-5608"
        ], 
        "name": "Prostate Cancer and Prostatic Diseases", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "name": "Cost-effectiveness of SelectMDx for prostate cancer in four European countries: a comparative modeling study", 
    "pagination": "101-109", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "339e05e32d9a6fddd176c903b3bc0b428eb29225615be5f3c7c25b08d790a823"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30127462"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9815755"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41391-018-0076-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106250560"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41391-018-0076-3", 
      "https://app.dimensions.ai/details/publication/pub.1106250560"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000359_0000000359/records_29204_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41391-018-0076-3"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41391-018-0076-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41391-018-0076-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41391-018-0076-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41391-018-0076-3'


 

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

297 TRIPLES      21 PREDICATES      63 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41391-018-0076-3 schema:about N1a4af05024504b7eafa87537d0b5b6e0
2 N2271e5aff5de41978a13dfd178c17188
3 N311649f89aca4a8c818056105f58272e
4 N3428fe1aadfc4c2397b47d196245e489
5 N607c35babfc042d785289b7d1ea0ff83
6 N697fa6b5be89476d94928f808ca095fe
7 N7b00aa48f897453280ce76bf80f52627
8 N9170466e7fbc4c1f8c2787f27190971f
9 N92733d5244744fbebba9ba8bbaea8c58
10 N95f7ea2adb3e486988d0d1803f1923f6
11 N9816c0dc1ab54c57851a6b29dfc7ccef
12 Na85a2138d3604179b3162f738dc61217
13 Nbb019b762daa461787c8ba6f2b042670
14 Nbeb439a42e8844c291796aceff6b35ad
15 Ncb3d6f13f29a4bcf9cc093763a0df191
16 Ne179bfaa6d934bcd8fd73b74b1b6576d
17 Ne56b63a1151d49d2a37243e5056df3f2
18 Nec2879f7290a47b797922ad19e6baf49
19 anzsrc-for:11
20 anzsrc-for:1117
21 schema:author N0411ca9e5d89436794ee1f8ddbb5a903
22 schema:citation sg:pub.10.1038/nrurol.2016.45
23 sg:pub.10.1038/sj.pcan.4500963
24 https://doi.org/10.1016/j.eururo.2005.08.013
25 https://doi.org/10.1016/j.eururo.2014.10.028
26 https://doi.org/10.1016/j.eururo.2016.04.012
27 https://doi.org/10.1016/j.eururo.2016.06.007
28 https://doi.org/10.1016/j.juro.2012.11.015
29 https://doi.org/10.1056/nejm199104253241702
30 https://doi.org/10.1056/nejmoa1201637
31 https://doi.org/10.1056/nejmoa1311593
32 https://doi.org/10.1056/nejmoa1606220
33 https://doi.org/10.1093/jnci/djp001
34 https://doi.org/10.1111/bju.13861
35 https://doi.org/10.1111/j.1541-0420.2007.00825.x
36 https://doi.org/10.1136/bmjopen-2014-006674
37 https://doi.org/10.1177/009286150103500122
38 schema:datePublished 2019-03
39 schema:datePublishedReg 2019-03-01
40 schema:description BACKGROUND: Low specificity of prostate-specific antigen results in a considerable number of unnecessary prostate biopsies in current practice. SelectMDx® predicts significant prostate cancer upon biopsy and is used to reduce the number of unnecessary initial prostate biopsies. Furthermore, potential overtreatment of insignificant prostate cancer can be reduced. Besides the diagnostic accuracy of the test, also the context in a specific country determines the potential health benefit and cost-effectiveness. Therefore, the health benefit and cost-effectiveness of SelectMDx were assessed in France, Germany, Italy, and Spain. SUBJECT AND METHODS: A decision model was used to compare the current standard of care in which men undergo initial prostate biopsy in case of an elevated prostate-specific antigen, to a strategy in which SelectMDx was used to select men for biopsy. Model inputs most relevant to each of the four countries were obtained. With use of the model long-term quality-adjusted life years (QALYs) and healthcare costs were calculated for both strategies. RESULTS: In all four countries, the SelectMDx resulted in QALY gain and cost savings compared with the current standard of care. In France, SelectMDx resulted in 0.022 QALYs gained and cost savings of €1217 per patient. For Germany, the model showed a QALY gain of 0.016 and a cost saving of €442. In Italy, the QALY gain and cost savings were 0.031 and €762. In Spain 0.020 QALYs were gained and €250 costs were saved. CONCLUSIONS: The results of the model showed that with SelectMDx, QALYs could be gained while saving healthcare costs in the initial diagnosis of prostate cancer. The significant presence of overtreatment in the current standard of care in all four countries was the main factor that resulted in the beneficial outcomes with SelectMDx.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N0c1de0e153fa44e7827a85237981e850
45 N78040f71821a4c499818a3b54aefac73
46 sg:journal.1119336
47 schema:name Cost-effectiveness of SelectMDx for prostate cancer in four European countries: a comparative modeling study
48 schema:pagination 101-109
49 schema:productId N3a8bd3c81d444b198d1a39192c728a95
50 N3feb1f86c8704ed79f08cfb01e7d17fe
51 N67de1cd4d1f84fc9bafd5b3837e9003a
52 N6bf418711d1d405a82212b02d7db81e9
53 Ne75a982c1ef14d13a4f53528aa57b3c8
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106250560
55 https://doi.org/10.1038/s41391-018-0076-3
56 schema:sdDatePublished 2019-04-11T11:55
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N182b7fa1acea4219bbdcae8e0a3d880b
59 schema:url https://www.nature.com/articles/s41391-018-0076-3
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N0411ca9e5d89436794ee1f8ddbb5a903 rdf:first sg:person.01012410703.40
64 rdf:rest N70da0640c17847a5a3afe231e527d094
65 N0b4aff4752e44345b62b6a56a7ebc178 rdf:first sg:person.0703572542.91
66 rdf:rest rdf:nil
67 N0c1de0e153fa44e7827a85237981e850 schema:volumeNumber 22
68 rdf:type schema:PublicationVolume
69 N182b7fa1acea4219bbdcae8e0a3d880b schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 N1a4af05024504b7eafa87537d0b5b6e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Europe
73 rdf:type schema:DefinedTerm
74 N2271e5aff5de41978a13dfd178c17188 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Biopsy
76 rdf:type schema:DefinedTerm
77 N311649f89aca4a8c818056105f58272e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Prostatic Neoplasms
79 rdf:type schema:DefinedTerm
80 N3428fe1aadfc4c2397b47d196245e489 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name France
82 rdf:type schema:DefinedTerm
83 N3491bf13c27948e2978a54e36850621e rdf:first sg:person.01372404637.40
84 rdf:rest Nbc69ba86ddac4149829f37f56b4f4ee9
85 N3a8bd3c81d444b198d1a39192c728a95 schema:name dimensions_id
86 schema:value pub.1106250560
87 rdf:type schema:PropertyValue
88 N3feb1f86c8704ed79f08cfb01e7d17fe schema:name pubmed_id
89 schema:value 30127462
90 rdf:type schema:PropertyValue
91 N5389279418574a4294132ffc51af413d rdf:first sg:person.0761212356.12
92 rdf:rest N83ddc572d26540fab449136a59c67f9d
93 N607c35babfc042d785289b7d1ea0ff83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Italy
95 rdf:type schema:DefinedTerm
96 N669879396e554ae78a7cc629d5771bf3 schema:name MedValue, Nijmegen, The Netherlands
97 rdf:type schema:Organization
98 N67de1cd4d1f84fc9bafd5b3837e9003a schema:name nlm_unique_id
99 schema:value 9815755
100 rdf:type schema:PropertyValue
101 N6961237e4219415ba2f8969ab659dbc4 rdf:first sg:person.01305232241.12
102 rdf:rest Nd92bd2c9db1a4648a4789ebe8809058f
103 N697fa6b5be89476d94928f808ca095fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Biomarkers, Tumor
105 rdf:type schema:DefinedTerm
106 N6bf418711d1d405a82212b02d7db81e9 schema:name readcube_id
107 schema:value 339e05e32d9a6fddd176c903b3bc0b428eb29225615be5f3c7c25b08d790a823
108 rdf:type schema:PropertyValue
109 N70da0640c17847a5a3afe231e527d094 rdf:first sg:person.01136456165.50
110 rdf:rest Nafa9af9c616d414d83386825e183f5da
111 N78040f71821a4c499818a3b54aefac73 schema:issueNumber 1
112 rdf:type schema:PublicationIssue
113 N7b00aa48f897453280ce76bf80f52627 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Models, Statistical
115 rdf:type schema:DefinedTerm
116 N83ddc572d26540fab449136a59c67f9d rdf:first sg:person.010164650137.01
117 rdf:rest Nc678e382faa944e2908c2de179608641
118 N9170466e7fbc4c1f8c2787f27190971f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Spain
120 rdf:type schema:DefinedTerm
121 N92733d5244744fbebba9ba8bbaea8c58 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Clinical Decision-Making
123 rdf:type schema:DefinedTerm
124 N95f7ea2adb3e486988d0d1803f1923f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Decision Trees
126 rdf:type schema:DefinedTerm
127 N9816c0dc1ab54c57851a6b29dfc7ccef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Quality of Life
129 rdf:type schema:DefinedTerm
130 Na85a2138d3604179b3162f738dc61217 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Germany
132 rdf:type schema:DefinedTerm
133 Nafa9af9c616d414d83386825e183f5da rdf:first sg:person.0642635567.18
134 rdf:rest N5389279418574a4294132ffc51af413d
135 Nbb019b762daa461787c8ba6f2b042670 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Sensitivity and Specificity
137 rdf:type schema:DefinedTerm
138 Nbc69ba86ddac4149829f37f56b4f4ee9 rdf:first sg:person.01062032457.91
139 rdf:rest N6961237e4219415ba2f8969ab659dbc4
140 Nbeb439a42e8844c291796aceff6b35ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Male
142 rdf:type schema:DefinedTerm
143 Nc678e382faa944e2908c2de179608641 rdf:first sg:person.0614364161.42
144 rdf:rest Ne10af3bbaa974d91b31f9d418a5daab8
145 Ncb3d6f13f29a4bcf9cc093763a0df191 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Cost-Benefit Analysis
147 rdf:type schema:DefinedTerm
148 Nd92bd2c9db1a4648a4789ebe8809058f rdf:first sg:person.01035674133.55
149 rdf:rest N0b4aff4752e44345b62b6a56a7ebc178
150 Ne10af3bbaa974d91b31f9d418a5daab8 rdf:first sg:person.01145773223.17
151 rdf:rest N3491bf13c27948e2978a54e36850621e
152 Ne179bfaa6d934bcd8fd73b74b1b6576d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Humans
154 rdf:type schema:DefinedTerm
155 Ne4e14648670748f9be2c88b550f87b19 schema:name MDxHealth BV, Nijmegen, The Netherlands
156 rdf:type schema:Organization
157 Ne56b63a1151d49d2a37243e5056df3f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Quality-Adjusted Life Years
159 rdf:type schema:DefinedTerm
160 Ne75a982c1ef14d13a4f53528aa57b3c8 schema:name doi
161 schema:value 10.1038/s41391-018-0076-3
162 rdf:type schema:PropertyValue
163 Nec2879f7290a47b797922ad19e6baf49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Public Health Surveillance
165 rdf:type schema:DefinedTerm
166 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
167 schema:name Medical and Health Sciences
168 rdf:type schema:DefinedTerm
169 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
170 schema:name Public Health and Health Services
171 rdf:type schema:DefinedTerm
172 sg:journal.1119336 schema:issn 1365-7852
173 1476-5608
174 schema:name Prostate Cancer and Prostatic Diseases
175 rdf:type schema:Periodical
176 sg:person.01012410703.40 schema:affiliation N669879396e554ae78a7cc629d5771bf3
177 schema:familyName Govers
178 schema:givenName Tim M.
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012410703.40
180 rdf:type schema:Person
181 sg:person.010164650137.01 schema:affiliation https://www.grid.ac/institutes/grid.5252.0
182 schema:familyName Stief
183 schema:givenName Christian G.
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010164650137.01
185 rdf:type schema:Person
186 sg:person.01035674133.55 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
187 schema:familyName van Criekinge
188 schema:givenName Wim
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035674133.55
190 rdf:type schema:Person
191 sg:person.01062032457.91 schema:affiliation https://www.grid.ac/institutes/grid.418082.7
192 schema:familyName Rubio-Briones
193 schema:givenName Jose
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062032457.91
195 rdf:type schema:Person
196 sg:person.01136456165.50 schema:affiliation Ne4e14648670748f9be2c88b550f87b19
197 schema:familyName Hessels
198 schema:givenName Daphne
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136456165.50
200 rdf:type schema:Person
201 sg:person.01145773223.17 schema:affiliation https://www.grid.ac/institutes/grid.15667.33
202 schema:familyName Ferro
203 schema:givenName Matteo
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145773223.17
205 rdf:type schema:Person
206 sg:person.01305232241.12 schema:affiliation https://www.grid.ac/institutes/grid.10417.33
207 schema:familyName Sedelaar
208 schema:givenName J. P. Michiel
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305232241.12
210 rdf:type schema:Person
211 sg:person.01372404637.40 schema:affiliation https://www.grid.ac/institutes/grid.411106.3
212 schema:familyName Borque-Fernando
213 schema:givenName Angel
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372404637.40
215 rdf:type schema:Person
216 sg:person.0614364161.42 schema:affiliation https://www.grid.ac/institutes/grid.73221.35
217 schema:familyName Martinez-Ballesteros
218 schema:givenName Claudio
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614364161.42
220 rdf:type schema:Person
221 sg:person.0642635567.18 schema:affiliation https://www.grid.ac/institutes/grid.413852.9
222 schema:familyName Vlaeminck-Guillem
223 schema:givenName Virginie
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642635567.18
225 rdf:type schema:Person
226 sg:person.0703572542.91 schema:affiliation https://www.grid.ac/institutes/grid.10417.33
227 schema:familyName Schalken
228 schema:givenName Jack A.
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703572542.91
230 rdf:type schema:Person
231 sg:person.0761212356.12 schema:affiliation https://www.grid.ac/institutes/grid.5330.5
232 schema:familyName Schmitz-Dräger
233 schema:givenName Bernd J.
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761212356.12
235 rdf:type schema:Person
236 sg:pub.10.1038/nrurol.2016.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012770436
237 https://doi.org/10.1038/nrurol.2016.45
238 rdf:type schema:CreativeWork
239 sg:pub.10.1038/sj.pcan.4500963 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020290983
240 https://doi.org/10.1038/sj.pcan.4500963
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.eururo.2005.08.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035855791
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/j.eururo.2014.10.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049428267
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/j.eururo.2016.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007969242
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/j.eururo.2016.06.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050492283
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/j.juro.2012.11.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052564063
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1056/nejm199104253241702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045536165
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1056/nejmoa1201637 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005348698
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1056/nejmoa1311593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020594922
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1056/nejmoa1606220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020137376
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1093/jnci/djp001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031887748
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1111/bju.13861 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084210827
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1111/j.1541-0420.2007.00825.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034224306
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1136/bmjopen-2014-006674 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002537462
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1177/009286150103500122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063722894
269 rdf:type schema:CreativeWork
270 https://www.grid.ac/institutes/grid.10417.33 schema:alternateName Radboud University Nijmegen Medical Centre
271 schema:name Department of Urology, Radboudumc, Nijmegen, The Netherlands
272 rdf:type schema:Organization
273 https://www.grid.ac/institutes/grid.15667.33 schema:alternateName European Institute of Oncology
274 schema:name Division of Urology, European Institute of Oncology, Milan, Italy
275 rdf:type schema:Organization
276 https://www.grid.ac/institutes/grid.411106.3 schema:alternateName Hospital Universitario Miguel Servet
277 schema:name Department of Urology, Hospital Universitatio Miguel Servet, IIS-Aragón, Zaragoza, Spain
278 rdf:type schema:Organization
279 https://www.grid.ac/institutes/grid.413852.9 schema:alternateName Hospices Civils de Lyon
280 schema:name Cancer Research Centre of Lyon, U1052 INSERM, CNRS 5286, Léon Bérard Centre, Lyon I University, Lyon, France
281 Medical Unit of Molecular Oncology and Transfer, Department of Biochemistry and Molecular Biology, University Hospital of Lyon-Sud, Hospices Civils of Lyon, Lyon, France
282 rdf:type schema:Organization
283 https://www.grid.ac/institutes/grid.418082.7 schema:alternateName Fundación Instituto Valenciano de Oncología
284 schema:name Department of Urology, Fundación instituto Valenciano, de oncología, Valencia, Spain
285 rdf:type schema:Organization
286 https://www.grid.ac/institutes/grid.5252.0 schema:alternateName Ludwig Maximilian University of Munich
287 schema:name Department of Urology, Ludwig Maximilians-Universität München, Munich, Germany
288 rdf:type schema:Organization
289 https://www.grid.ac/institutes/grid.5330.5 schema:alternateName University of Erlangen-Nuremberg
290 schema:name BSD: Urologie24, Nuremberg and Dept. of Urology, Friedrich-Alexander University, Erlangen, Germany
291 rdf:type schema:Organization
292 https://www.grid.ac/institutes/grid.5342.0 schema:alternateName Ghent University
293 schema:name Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
294 rdf:type schema:Organization
295 https://www.grid.ac/institutes/grid.73221.35 schema:alternateName Hospital Universitario Puerta de Hierro Majadahonda
296 schema:name Urology department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain
297 rdf:type schema:Organization
 




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


...