Ontology type: schema:ScholarlyArticle Open Access: True
2014-12
AUTHORSMatthew Glover, Martin Buxton, Susan Guthrie, Stephen Hanney, Alexandra Pollitt, Jonathan Grant
ABSTRACTBACKGROUND: Building on an approach developed to assess the economic returns to cardiovascular research, we estimated the economic returns from UK public and charitable funded cancer-related research that arise from the net value of the improved health outcomes. METHODS: To assess these economic returns from cancer-related research in the UK we estimated: 1) public and charitable expenditure on cancer-related research in the UK from 1970 to 2009; 2) net monetary benefit (NMB), that is, the health benefit measured in quality adjusted life years (QALYs) valued in monetary terms (using a base-case value of a QALY of GB£25,000) minus the cost of delivering that benefit, for a prioritised list of interventions from 1991 to 2010; 3) the proportion of NMB attributable to UK research; 4) the elapsed time between research funding and health gain; and 5) the internal rate of return (IRR) from cancer-related research investments on health benefits. We analysed the uncertainties in the IRR estimate using sensitivity analyses to illustrate the effect of some key parameters. RESULTS: In 2011/12 prices, total expenditure on cancer-related research from 1970 to 2009 was £15 billion. The NMB of the 5.9 million QALYs gained from the prioritised interventions from 1991 to 2010 was £124 billion. Calculation of the IRR incorporated an estimated elapsed time of 15 years. We related 17% of the annual NMB estimated to be attributable to UK research (for each of the 20 years 1991 to 2010) to 20 years of research investment 15 years earlier (that is, for 1976 to 1995). This produced a best-estimate IRR of 10%, compared with 9% previously estimated for cardiovascular disease research. The sensitivity analysis demonstrated the importance of smoking reduction as a major source of improved cancer-related health outcomes. CONCLUSIONS: We have demonstrated a substantive IRR from net health gain to public and charitable funding of cancer-related research in the UK, and further validated the approach that we originally used in assessing the returns from cardiovascular research. In doing so, we have highlighted a number of weaknesses and key assumptions that need strengthening in further investigations. Nevertheless, these cautious estimates demonstrate that the returns from past cancer research have been substantial, and justify the investments made during the period 1976 to 1995. More... »
PAGES99
http://scigraph.springernature.com/pub.10.1186/1741-7015-12-99
DOIhttp://dx.doi.org/10.1186/1741-7015-12-99
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1006565540
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/24930803
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/2008/1402",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Applied Economics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Economics",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Biomedical Research",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cost-Benefit Analysis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Costs and Cost Analysis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Foundations",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Health Status",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Incidence",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Neoplasms",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Public Sector",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Quality-Adjusted Life Years",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Research Support as Topic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Smoking Cessation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Smoking Prevention",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "United Kingdom",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Brunel University London",
"id": "https://www.grid.ac/institutes/grid.7728.a",
"name": [
"Health Economics Research Group, Brunel University, Uxbridge, UK"
],
"type": "Organization"
},
"familyName": "Glover",
"givenName": "Matthew",
"id": "sg:person.01137153570.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137153570.55"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Brunel University London",
"id": "https://www.grid.ac/institutes/grid.7728.a",
"name": [
"Health Economics Research Group, Brunel University, Uxbridge, UK"
],
"type": "Organization"
},
"familyName": "Buxton",
"givenName": "Martin",
"id": "sg:person.01123604615.70",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123604615.70"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "RAND Europe",
"id": "https://www.grid.ac/institutes/grid.425785.9",
"name": [
"RAND Europe, Westbrook Centre, Milton Road, CB4 1YG, Cambridge, UK"
],
"type": "Organization"
},
"familyName": "Guthrie",
"givenName": "Susan",
"id": "sg:person.01052724140.09",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052724140.09"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Brunel University London",
"id": "https://www.grid.ac/institutes/grid.7728.a",
"name": [
"Health Economics Research Group, Brunel University, Uxbridge, UK"
],
"type": "Organization"
},
"familyName": "Hanney",
"givenName": "Stephen",
"id": "sg:person.01236410736.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236410736.55"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "RAND Europe",
"id": "https://www.grid.ac/institutes/grid.425785.9",
"name": [
"RAND Europe, Westbrook Centre, Milton Road, CB4 1YG, Cambridge, UK"
],
"type": "Organization"
},
"familyName": "Pollitt",
"givenName": "Alexandra",
"id": "sg:person.01335400150.85",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335400150.85"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "King's College London",
"id": "https://www.grid.ac/institutes/grid.13097.3c",
"name": [
"RAND Europe, Westbrook Centre, Milton Road, CB4 1YG, Cambridge, UK",
"King\u2019s Policy Institute, King\u2019s College London, Virginia Woolf Building, 22 Kingsway, WC2R 2LA, London, UK"
],
"type": "Organization"
},
"familyName": "Grant",
"givenName": "Jonathan",
"id": "sg:person.01055471415.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055471415.15"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.socscimed.2004.06.038",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004486803"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/rheumatology/keh708",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008752227"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/rheumatology/keh708",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008752227"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jhealeco.2010.02.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008860770"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nm0602-551b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009367418",
"https://doi.org/10.1038/nm0602-551b"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nm0602-551b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009367418",
"https://doi.org/10.1038/nm0602-551b"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmj.320.7242.1107",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010284812"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(12)61611-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010347035"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/aap.0000000000000102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017044552"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/aap.0000000000000102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017044552"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/aap.0000000000000102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017044552"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(13)60355-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021176069"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ejca.2007.12.015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025907215"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmj.f2618",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026432528"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.clon.2008.12.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027974447"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(06)68578-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033246574"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/bjc.2012.277",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045408038",
"https://doi.org/10.1038/bjc.2012.277"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/ijc.22169",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045726096"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/465665b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047248411",
"https://doi.org/10.1038/465665b"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/465665a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048289713",
"https://doi.org/10.1038/465665a"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0277-9536(92)90128-d",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051300710"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3310/hta8200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071139778"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3310/hta8500",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071139808"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/135581969600100107",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074346452"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/135581969600100107",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074346452"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1076992046",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1077330831",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5694/j.1326-5377.2006.tb00661.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1077330831"
],
"type": "CreativeWork"
}
],
"datePublished": "2014-12",
"datePublishedReg": "2014-12-01",
"description": "BACKGROUND: Building on an approach developed to assess the economic returns to cardiovascular research, we estimated the economic returns from UK public and charitable funded cancer-related research that arise from the net value of the improved health outcomes.\nMETHODS: To assess these economic returns from cancer-related research in the UK we estimated: 1) public and charitable expenditure on cancer-related research in the UK from 1970 to 2009; 2) net monetary benefit (NMB), that is, the health benefit measured in quality adjusted life years (QALYs) valued in monetary terms (using a base-case value of a QALY of GB\u00a325,000) minus the cost of delivering that benefit, for a prioritised list of interventions from 1991 to 2010; 3) the proportion of NMB attributable to UK research; 4) the elapsed time between research funding and health gain; and 5) the internal rate of return (IRR) from cancer-related research investments on health benefits. We analysed the uncertainties in the IRR estimate using sensitivity analyses to illustrate the effect of some key parameters.\nRESULTS: In 2011/12 prices, total expenditure on cancer-related research from 1970 to 2009 was \u00a315 billion. The NMB of the 5.9 million QALYs gained from the prioritised interventions from 1991 to 2010 was \u00a3124 billion. Calculation of the IRR incorporated an estimated elapsed time of 15 years. We related 17% of the annual NMB estimated to be attributable to UK research (for each of the 20 years 1991 to 2010) to 20 years of research investment 15 years earlier (that is, for 1976 to 1995). This produced a best-estimate IRR of 10%, compared with 9% previously estimated for cardiovascular disease research. The sensitivity analysis demonstrated the importance of smoking reduction as a major source of improved cancer-related health outcomes.\nCONCLUSIONS: We have demonstrated a substantive IRR from net health gain to public and charitable funding of cancer-related research in the UK, and further validated the approach that we originally used in assessing the returns from cardiovascular research. In doing so, we have highlighted a number of weaknesses and key assumptions that need strengthening in further investigations. Nevertheless, these cautious estimates demonstrate that the returns from past cancer research have been substantial, and justify the investments made during the period 1976 to 1995.",
"genre": "research_article",
"id": "sg:pub.10.1186/1741-7015-12-99",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1032885",
"issn": [
"1741-7015"
],
"name": "BMC Medicine",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "12"
}
],
"name": "Estimating the returns to UK publicly funded cancer-related research in terms of the net value of improved health outcomes",
"pagination": "99",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"1f45c887d93de0aa9a34589d8b44fe2e316239b2fdbd1e8a79ff99221e6b349d"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"24930803"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101190723"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/1741-7015-12-99"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1006565540"
]
}
],
"sameAs": [
"https://doi.org/10.1186/1741-7015-12-99",
"https://app.dimensions.ai/details/publication/pub.1006565540"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T18:20",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000510.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1186%2F1741-7015-12-99"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1186/1741-7015-12-99'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1741-7015-12-99'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1741-7015-12-99'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1741-7015-12-99'
This table displays all metadata directly associated to this object as RDF triples.
237 TRIPLES
21 PREDICATES
66 URIs
35 LITERALS
23 BLANK NODES