Ontology type: schema:ScholarlyArticle Open Access: True
2003-07-01
AUTHORS ABSTRACTWhile most experts agree that cervical screening is effective, there remains controversy over the most appropriate screening interval. Annual screening is common in North America. In England, some argue for 3-yearly screening while others believe 5-yearly screening is adequate, and the frequency varies from one part of the country to another. Screening histories of 1305 women aged 20–69 years, diagnosed with frankly invasive cervical cancer and 2532 age-matched controls were obtained from UK screening programme databases. Data were analysed in terms of time since last negative, and time since last screening smear. Five-yearly screening offers considerable protection (83%) against cancer at ages 55–69 years and even annual screening offers only modest additional protection (87%). Three-yearly screening offers additional protection (84%) over 5-yearly screening (73%) for cancers at ages 40–54 years, but is almost as good as annual screening (88%). In women aged 20–39 years, even annual screening is not as effective (76%) as 3-yearly screening in older women, and 3 years after screening cancer rates return to those in unscreened women. This calls into question the policy of having a uniform screening interval from age 20 to 64 years and stresses the value of screening in middle-aged women. More... »
PAGES88-93
http://scigraph.springernature.com/pub.10.1038/sj.bjc.6600974
DOIhttp://dx.doi.org/10.1038/sj.bjc.6600974
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1044836408
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/12838306
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": "Adult",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Age Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Case-Control Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Databases, Factual",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Health Policy",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Mass Screening",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Medical Audit",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Medical History Taking",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Middle Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Neoplasm Invasiveness",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Practice Guidelines as Topic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "United Kingdom",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Uterine Cervical Neoplasms",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Vaginal Smears",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Epidemiology, Cancer Research UK, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, EC1M 6BQ, London, UK",
"id": "http://www.grid.ac/institutes/grid.11485.39",
"name": [
"Department of Epidemiology, Cancer Research UK, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, EC1M 6BQ, London, UK"
],
"type": "Organization"
},
"familyName": "Sasieni",
"givenName": "P",
"id": "sg:person.01257735610.85",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257735610.85"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Epidemiology, Cancer Research UK, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, EC1M 6BQ, London, UK",
"id": "http://www.grid.ac/institutes/grid.11485.39",
"name": [
"Department of Epidemiology, Cancer Research UK, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, EC1M 6BQ, London, UK"
],
"type": "Organization"
},
"familyName": "Adams",
"givenName": "J",
"id": "sg:person.01116172313.51",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116172313.51"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Epidemiology, Cancer Research UK, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, EC1M 6BQ, London, UK",
"id": "http://www.grid.ac/institutes/grid.11485.39",
"name": [
"Department of Epidemiology, Cancer Research UK, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Charterhouse Square, EC1M 6BQ, London, UK"
],
"type": "Organization"
},
"familyName": "Cuzick",
"givenName": "J",
"id": "sg:person.01136740201.43",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136740201.43"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/bjc.1996.196",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056443386",
"https://doi.org/10.1038/bjc.1996.196"
],
"type": "CreativeWork"
}
],
"datePublished": "2003-07-01",
"datePublishedReg": "2003-07-01",
"description": "While most experts agree that cervical screening is effective, there remains controversy over the most appropriate screening interval. Annual screening is common in North America. In England, some argue for 3-yearly screening while others believe 5-yearly screening is adequate, and the frequency varies from one part of the country to another. Screening histories of 1305 women aged 20\u201369 years, diagnosed with frankly invasive cervical cancer and 2532 age-matched controls were obtained from UK screening programme databases. Data were analysed in terms of time since last negative, and time since last screening smear. Five-yearly screening offers considerable protection (83%) against cancer at ages 55\u201369 years and even annual screening offers only modest additional protection (87%). Three-yearly screening offers additional protection (84%) over 5-yearly screening (73%) for cancers at ages 40\u201354 years, but is almost as good as annual screening (88%). In women aged 20\u201339 years, even annual screening is not as effective (76%) as 3-yearly screening in older women, and 3 years after screening cancer rates return to those in unscreened women. This calls into question the policy of having a uniform screening interval from age 20 to 64 years and stresses the value of screening in middle-aged women.",
"genre": "article",
"id": "sg:pub.10.1038/sj.bjc.6600974",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1017082",
"issn": [
"0007-0920",
"1532-1827"
],
"name": "British Journal of Cancer",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "89"
}
],
"keywords": [
"annual screening",
"cervical screening",
"appropriate screening intervals",
"five-yearly screening",
"invasive cervical cancer",
"age-matched controls",
"middle-aged women",
"three-yearly screening",
"screening smears",
"unscreened women",
"screening interval",
"cervical cancer",
"Program database",
"cancer rates",
"age 40",
"older women",
"age 55",
"age 20",
"additional protection",
"UK audit",
"women",
"cancer",
"screening",
"considerable protection",
"most experts",
"years",
"different ages",
"smears",
"interval",
"age",
"history",
"protection",
"audit",
"evidence",
"controversy",
"control",
"database",
"benefits",
"time",
"rate",
"terms of time",
"UK",
"frequency",
"data",
"North America",
"countries",
"England",
"experts",
"part",
"values",
"questions",
"America",
"terms",
"policy"
],
"name": "Benefit of cervical screening at different ages: evidence from the UK audit of screening histories",
"pagination": "88-93",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1044836408"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/sj.bjc.6600974"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"12838306"
]
}
],
"sameAs": [
"https://doi.org/10.1038/sj.bjc.6600974",
"https://app.dimensions.ai/details/publication/pub.1044836408"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T16:55",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_377.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/sj.bjc.6600974"
}
]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.10.1038/sj.bjc.6600974'
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/sj.bjc.6600974'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6600974'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6600974'
This table displays all metadata directly associated to this object as RDF triples.
201 TRIPLES
21 PREDICATES
97 URIs
88 LITERALS
24 BLANK NODES