Ontology type: schema:ScholarlyArticle
2006-08
AUTHORSS.-P. Chan, C. C. Teo, S. A. Ng, N. Goh, C. Tan, M. Deurenberg-Yap
ABSTRACTINTRODUCTION: This study aimed to compare the sensitivity and specificity of various published indices for identifying elderly Chinese females at risk of osteoporosis in Singapore. METHODS: The indices considered were the Simple Calculated Osteoporosis Risk Estimation (SCORE), the Osteoporosis Risk Assessment Instrument (ORAI), the Age Bulk One or Never Estrogens (ABONE), body weight (WEIGHT), and the Osteoporosis Self-Assessment Tool for Asians (OSTA). Altogether, 135 postmenopausal Chinese female subjects aged 55 years and older participated in the study, and their bone mineral density (BMD) was measured with dual-energy x-ray absorptiometry. Subjects were classified as osteoporotic if their femoral neck BMD T-score was -2.5 or lower. Receiver operating characteristic (ROC) curves were generated to determine the indices' cut-off points, sensitivity, and specificity. RESULTS: OSTA had the highest discriminatory power, with an estimated area under the ROC curve of 0.82. This was followed by SCORE (0.80), WEIGHT (0.78), ORAI (0.76), and ABONE (0.70). At the cut-off point of -2, OSTA achieved sensitivity and specificity of 91% and 59%, respectively. CONCLUSION: The study showed that OSTA is an effective index for identifying postmenopausal women at risk for osteoporosis. More... »
PAGES1182-1188
http://scigraph.springernature.com/pub.10.1007/s00198-005-0051-4
DOIhttp://dx.doi.org/10.1007/s00198-005-0051-4
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1017569172
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/16699739
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/2008/1103",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Clinical Sciences",
"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": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Area Under Curve",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Body Weight",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Bone Density",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Middle Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Osteoporosis, Postmenopausal",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "ROC Curve",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Risk Assessment",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sensitivity and Specificity",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Health Promotion Board",
"id": "https://www.grid.ac/institutes/grid.413892.5",
"name": [
"National Disease Registries Office, Research & Information Management Division, Health Promotion Board, 3 Second Hospital Avenue, 168937, Singapore, Singapore"
],
"type": "Organization"
},
"familyName": "Chan",
"givenName": "S.-P.",
"id": "sg:person.01275226077.14",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275226077.14"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Health Promotion Board",
"id": "https://www.grid.ac/institutes/grid.413892.5",
"name": [
"National Disease Registries Office, Research & Information Management Division, Health Promotion Board, 3 Second Hospital Avenue, 168937, Singapore, Singapore"
],
"type": "Organization"
},
"familyName": "Teo",
"givenName": "C. C.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Health Promotion Board",
"id": "https://www.grid.ac/institutes/grid.413892.5",
"name": [
"National Disease Registries Office, Research & Information Management Division, Health Promotion Board, 3 Second Hospital Avenue, 168937, Singapore, Singapore"
],
"type": "Organization"
},
"familyName": "Ng",
"givenName": "S. A.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Health Promotion Board",
"id": "https://www.grid.ac/institutes/grid.413892.5",
"name": [
"Adult Health Promotion Division, Health Promotion Board, Singapore"
],
"type": "Organization"
},
"familyName": "Goh",
"givenName": "N.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Changi General Hospital",
"id": "https://www.grid.ac/institutes/grid.413815.a",
"name": [
"Elderly and Continuing Care Division, Ministry of Health, Singapore",
"Department of Geriatric Medicine, Changi General Hospital, Singapore"
],
"type": "Organization"
},
"familyName": "Tan",
"givenName": "C.",
"id": "sg:person.011563622432.09",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011563622432.09"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "National University of Singapore",
"id": "https://www.grid.ac/institutes/grid.4280.e",
"name": [
"National Disease Registries Office, Research & Information Management Division, Health Promotion Board, 3 Second Hospital Avenue, 168937, Singapore, Singapore",
"Department of Community, Occupational and Family Medicine, National University of Singapore, Singapore"
],
"type": "Organization"
},
"familyName": "Deurenberg-Yap",
"givenName": "M.",
"id": "sg:person.01262064764.24",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262064764.24"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf01623184",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008522902",
"https://doi.org/10.1007/bf01623184"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01623184",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008522902",
"https://doi.org/10.1007/bf01623184"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1067/mob.2000.106594",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019819665"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00198-003-1428-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023405579",
"https://doi.org/10.1007/s00198-003-1428-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1385/jcd:6:3:247",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028821017"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s001980170070",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033814431",
"https://doi.org/10.1007/s001980170070"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s001980170121",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034995820",
"https://doi.org/10.1007/s001980170121"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0001-2998(78)80014-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035405952"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01623934",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052665712",
"https://doi.org/10.1007/bf01623934"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmj.312.7041.1254",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062775836"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmj.312.7041.1254",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062775836"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074345542",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074640848",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1075011136",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.148.3.6878708",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1082007470"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.143.1.7063747",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1082130998"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1082983467",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1082988079",
"type": "CreativeWork"
}
],
"datePublished": "2006-08",
"datePublishedReg": "2006-08-01",
"description": "INTRODUCTION: This study aimed to compare the sensitivity and specificity of various published indices for identifying elderly Chinese females at risk of osteoporosis in Singapore.\nMETHODS: The indices considered were the Simple Calculated Osteoporosis Risk Estimation (SCORE), the Osteoporosis Risk Assessment Instrument (ORAI), the Age Bulk One or Never Estrogens (ABONE), body weight (WEIGHT), and the Osteoporosis Self-Assessment Tool for Asians (OSTA). Altogether, 135 postmenopausal Chinese female subjects aged 55 years and older participated in the study, and their bone mineral density (BMD) was measured with dual-energy x-ray absorptiometry. Subjects were classified as osteoporotic if their femoral neck BMD T-score was -2.5 or lower. Receiver operating characteristic (ROC) curves were generated to determine the indices' cut-off points, sensitivity, and specificity.\nRESULTS: OSTA had the highest discriminatory power, with an estimated area under the ROC curve of 0.82. This was followed by SCORE (0.80), WEIGHT (0.78), ORAI (0.76), and ABONE (0.70). At the cut-off point of -2, OSTA achieved sensitivity and specificity of 91% and 59%, respectively.\nCONCLUSION: The study showed that OSTA is an effective index for identifying postmenopausal women at risk for osteoporosis.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00198-005-0051-4",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1100834",
"issn": [
"0937-941X",
"1433-2965"
],
"name": "Osteoporosis International",
"type": "Periodical"
},
{
"issueNumber": "8",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "17"
}
],
"name": "Validation of various osteoporosis risk indices in elderly Chinese females in Singapore",
"pagination": "1182-1188",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"53b50c69c1b02dd6971f1d15fe5125fb371b75b467cc6ba3e29c7be575a808a4"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"16699739"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9100105"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00198-005-0051-4"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1017569172"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00198-005-0051-4",
"https://app.dimensions.ai/details/publication/pub.1017569172"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T14:32",
"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/v90/0000000373_0000000373/records_13102_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s00198-005-0051-4"
}
]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.10.1007/s00198-005-0051-4'
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/s00198-005-0051-4'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00198-005-0051-4'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00198-005-0051-4'
This table displays all metadata directly associated to this object as RDF triples.
202 TRIPLES
21 PREDICATES
56 URIs
32 LITERALS
20 BLANK NODES