Referral pattern for DXA scanning in a tertiary care centre from southern India View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11-20

AUTHORS

Aditya John Binu, Kripa Elizabeth Cherian, Nitin Kapoor, Nihal Thomas, Thomas V. Paul

ABSTRACT

Referral patterns for bone mineral density testing by dual energy X-ray absorptiometry (DXA) scanning are seldom studied. In our study, the overall proportion of referrals from specialties remained low. This highlights the need for adequate utilisation of DXA by specialties treating subjects at risk for osteoporosis.Purpose/objectivesThe knowledge of referral patterns for DXA scanning (dual energy X-ray absorptiometry) for bone mineral density (BMD) measurement is relevant in a developing country like India. We studied the referral source and clinical and densitometric profile of patients referred for DXA scanning at a south Indian tertiary care centre.MethodsWe conducted a cross-sectional study over 3 months and included subjects referred during this period for BMD assessment (lumbar spine and femoral neck) by DXA scan. Details regarding referring departments and reasons for referral were collected. The number of patients seen in individual departments was obtained during the study period and respective proportions of patients referred were calculated.ResultsOf the 1932 subjects included in the study, we observed a definite female preponderance (90.2%), with a mean (SD) age of 51.6 (13.3) years. The greatest number of referrals came from the departments of rheumatology (37%; n = 724) and endocrinology (20%; n = 382). Overall, 36% were referred for inflammatory arthritis or systemic inflammatory disorders (n = 696) and 34% for postmenopausal state screening (n = 657). In relation to the individual outpatient strength, the departments who referred the highest proportion of their patients were rheumatology (6.8%), endocrinology (1.76%) and geriatrics (1.05%). A diagnosis of osteoporosis at any one site was made in 41% (448 of 1107) and the BMD was below the expected range for age in 37% (304 of 825) of the referrals.ConclusionMost referrals for DXA scanning were from rheumatology. Among the referred patients, about two fifth had osteoporosis and over one third had BMD below expected range for age. Although referrals by rheumatology were relatively higher, overall referrals from all departments remained low. This underscores the need for adequate utilisation of DXA by specialties treating subjects at risk for osteoporosis. More... »

PAGES

133

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11657-018-0548-z

DOI

http://dx.doi.org/10.1007/s11657-018-0548-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110063033

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30460412


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Absorptiometry, Photon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Density", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Femur Neck", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "India", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lumbar Vertebrae", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mass Screening", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Osteoporosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Practice Patterns, Physicians'", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Referral and Consultation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tertiary Care Centers", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Christian Medical College, 632004, Vellore, Tamil Nadu, India", 
          "id": "http://www.grid.ac/institutes/grid.11586.3b", 
          "name": [
            "Department of Internal Medicine, Christian Medical College, 632004, Vellore, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Binu", 
        "givenName": "Aditya John", 
        "id": "sg:person.012210062367.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012210062367.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India", 
          "id": "http://www.grid.ac/institutes/grid.11586.3b", 
          "name": [
            "Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cherian", 
        "givenName": "Kripa Elizabeth", 
        "id": "sg:person.01227323756.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227323756.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India", 
          "id": "http://www.grid.ac/institutes/grid.11586.3b", 
          "name": [
            "Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kapoor", 
        "givenName": "Nitin", 
        "id": "sg:person.01052357650.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052357650.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India", 
          "id": "http://www.grid.ac/institutes/grid.11586.3b", 
          "name": [
            "Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thomas", 
        "givenName": "Nihal", 
        "id": "sg:person.0706663571.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706663571.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India", 
          "id": "http://www.grid.ac/institutes/grid.11586.3b", 
          "name": [
            "Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paul", 
        "givenName": "Thomas V.", 
        "id": "sg:person.01203473500.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203473500.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11657-014-0196-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036905029", 
          "https://doi.org/10.1007/s11657-014-0196-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11657-017-0332-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084513567", 
          "https://doi.org/10.1007/s11657-017-0332-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11657-012-0094-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036134725", 
          "https://doi.org/10.1007/s11657-012-0094-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-014-2794-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038754393", 
          "https://doi.org/10.1007/s00198-014-2794-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00223-018-0401-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101183828", 
          "https://doi.org/10.1007/s00223-018-0401-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2474-11-49", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037574370", 
          "https://doi.org/10.1186/1471-2474-11-49"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10067-006-0406-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030499677", 
          "https://doi.org/10.1007/s10067-006-0406-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-016-3769-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010212803", 
          "https://doi.org/10.1007/s00198-016-3769-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11-20", 
    "datePublishedReg": "2018-11-20", 
    "description": "Referral patterns for bone mineral density testing by dual energy X-ray absorptiometry (DXA) scanning are seldom studied. In our study, the overall proportion of referrals from specialties remained low. This highlights the need for adequate utilisation of DXA by specialties treating subjects at risk for osteoporosis.Purpose/objectivesThe knowledge of referral patterns for DXA scanning (dual energy X-ray absorptiometry) for bone mineral density (BMD) measurement is relevant in a developing country like India. We studied the referral source and clinical and densitometric profile of patients referred for DXA scanning at a south Indian tertiary care centre.MethodsWe conducted a cross-sectional study over 3\u00a0months and included subjects referred during this period for BMD assessment (lumbar spine and femoral neck) by DXA scan. Details regarding referring departments and reasons for referral were collected. The number of patients seen in individual departments was obtained during the study period and respective proportions of patients referred were calculated.ResultsOf the 1932 subjects included in the study, we observed a definite female preponderance (90.2%), with a mean (SD) age of 51.6 (13.3) years. The greatest number of referrals came from the departments of rheumatology (37%; n\u00a0=\u2009724) and endocrinology (20%; n\u00a0=\u2009382). Overall, 36% were referred for inflammatory arthritis or systemic inflammatory disorders (n\u00a0=\u2009696) and 34% for postmenopausal state screening (n\u00a0=\u2009657). In relation to the individual outpatient strength, the departments who referred the highest proportion of their patients were rheumatology (6.8%), endocrinology (1.76%) and geriatrics (1.05%). A diagnosis of osteoporosis at any one site was made in 41% (448 of 1107) and the BMD was below the expected range for age in 37% (304 of 825) of the referrals.ConclusionMost referrals for DXA scanning were from rheumatology. Among the referred patients, about two fifth had osteoporosis and over one third had BMD below expected range for age. Although referrals by rheumatology were relatively higher, overall referrals from all departments remained low. This underscores the need for adequate utilisation of DXA by specialties treating subjects at risk for osteoporosis.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11657-018-0548-z", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1039144", 
        "issn": [
          "1862-3522", 
          "1862-3514"
        ], 
        "name": "Archives of Osteoporosis", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "keywords": [
      "tertiary care center", 
      "DXA scanning", 
      "referral patterns", 
      "care center", 
      "South Indian tertiary care centre", 
      "dual-energy X-ray absorptiometry scanning", 
      "bone mineral density testing", 
      "Indian tertiary care center", 
      "definite female preponderance", 
      "bone mineral density measurements", 
      "systemic inflammatory disorder", 
      "Department of Rheumatology", 
      "adequate utilisation", 
      "number of patients", 
      "cross-sectional study", 
      "mineral density measurements", 
      "diagnosis of osteoporosis", 
      "inflammatory arthritis", 
      "female preponderance", 
      "overall referrals", 
      "mean age", 
      "inflammatory disorders", 
      "BMD assessment", 
      "patients", 
      "DXA scans", 
      "referral", 
      "osteoporosis", 
      "referral source", 
      "rheumatology", 
      "density testing", 
      "study period", 
      "overall proportion", 
      "age", 
      "BMD", 
      "DXA", 
      "subjects", 
      "endocrinology", 
      "Department", 
      "higher proportion", 
      "risk", 
      "specialties", 
      "respective proportions", 
      "proportion", 
      "arthritis", 
      "ResultsOf", 
      "greater number", 
      "MethodsWe", 
      "diagnosis", 
      "geriatrics", 
      "months", 
      "study", 
      "disorders", 
      "scanning", 
      "scans", 
      "period", 
      "southern India", 
      "center", 
      "screening", 
      "preponderance", 
      "third", 
      "patterns", 
      "years", 
      "need", 
      "assessment", 
      "individual departments", 
      "densitometric profiles", 
      "utilisation", 
      "testing", 
      "state screening", 
      "number", 
      "India", 
      "profile", 
      "sites", 
      "reasons", 
      "knowledge", 
      "density measurements", 
      "countries", 
      "range", 
      "relation", 
      "measurements", 
      "source", 
      "detail", 
      "strength"
    ], 
    "name": "Referral pattern for DXA scanning in a tertiary care centre from southern India", 
    "pagination": "133", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110063033"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11657-018-0548-z"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30460412"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11657-018-0548-z", 
      "https://app.dimensions.ai/details/publication/pub.1110063033"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:37", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_755.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11657-018-0548-z"
  }
]
 

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/s11657-018-0548-z'

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/s11657-018-0548-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11657-018-0548-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11657-018-0548-z'


 

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

278 TRIPLES      21 PREDICATES      134 URIs      118 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11657-018-0548-z schema:about N0993dc62834147a1add360b037f22967
2 N0c5ce0db8d474a598326214e66395f11
3 N13c9fe8d7ea04ae7ada943968363b69c
4 N1449a2ff50eb49459de93cc30f74eeed
5 N1a2f2f1eb472450fbab25eba185764b7
6 N35c8425563d14d3fa046de2af4bd829e
7 N40ecc6fc05a04568b19a7a5fbe0f528c
8 N4a9feaef0c6d431aa2b4834ab83e2ed5
9 N573315f07d2949d7bf0f6cec33963f73
10 N81635b2099bb403a9754bae5a8c8809f
11 N838fd3931ff54d30ae656c47b41ced24
12 N9defac72ef76494a855208975458f143
13 Nb0b05856c8594c14a183175948c1ab09
14 Nba55d6aefff3433ba054698fa045e08d
15 Nc45769fcb3e94c2086370f89c5c96fe5
16 Nc5ad23d2c3e54989807b3dc11c62838b
17 Ne6eef9eaadf8487f8f2d051846debed6
18 Nedac0c3ec8c14e9383f282c90a9b2c98
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author N941693e090e24f1a90174cf2821ae74f
22 schema:citation sg:pub.10.1007/s00198-014-2794-2
23 sg:pub.10.1007/s00198-016-3769-2
24 sg:pub.10.1007/s00223-018-0401-9
25 sg:pub.10.1007/s10067-006-0406-z
26 sg:pub.10.1007/s11657-012-0094-z
27 sg:pub.10.1007/s11657-014-0196-x
28 sg:pub.10.1007/s11657-017-0332-5
29 sg:pub.10.1186/1471-2474-11-49
30 schema:datePublished 2018-11-20
31 schema:datePublishedReg 2018-11-20
32 schema:description Referral patterns for bone mineral density testing by dual energy X-ray absorptiometry (DXA) scanning are seldom studied. In our study, the overall proportion of referrals from specialties remained low. This highlights the need for adequate utilisation of DXA by specialties treating subjects at risk for osteoporosis.Purpose/objectivesThe knowledge of referral patterns for DXA scanning (dual energy X-ray absorptiometry) for bone mineral density (BMD) measurement is relevant in a developing country like India. We studied the referral source and clinical and densitometric profile of patients referred for DXA scanning at a south Indian tertiary care centre.MethodsWe conducted a cross-sectional study over 3 months and included subjects referred during this period for BMD assessment (lumbar spine and femoral neck) by DXA scan. Details regarding referring departments and reasons for referral were collected. The number of patients seen in individual departments was obtained during the study period and respective proportions of patients referred were calculated.ResultsOf the 1932 subjects included in the study, we observed a definite female preponderance (90.2%), with a mean (SD) age of 51.6 (13.3) years. The greatest number of referrals came from the departments of rheumatology (37%; n = 724) and endocrinology (20%; n = 382). Overall, 36% were referred for inflammatory arthritis or systemic inflammatory disorders (n = 696) and 34% for postmenopausal state screening (n = 657). In relation to the individual outpatient strength, the departments who referred the highest proportion of their patients were rheumatology (6.8%), endocrinology (1.76%) and geriatrics (1.05%). A diagnosis of osteoporosis at any one site was made in 41% (448 of 1107) and the BMD was below the expected range for age in 37% (304 of 825) of the referrals.ConclusionMost referrals for DXA scanning were from rheumatology. Among the referred patients, about two fifth had osteoporosis and over one third had BMD below expected range for age. Although referrals by rheumatology were relatively higher, overall referrals from all departments remained low. This underscores the need for adequate utilisation of DXA by specialties treating subjects at risk for osteoporosis.
33 schema:genre article
34 schema:isAccessibleForFree false
35 schema:isPartOf N43eec5ead4a74dff9653a3f814286a46
36 Ncdf9893045e44565ae3bc620580bd6fa
37 sg:journal.1039144
38 schema:keywords BMD
39 BMD assessment
40 DXA
41 DXA scanning
42 DXA scans
43 Department
44 Department of Rheumatology
45 India
46 Indian tertiary care center
47 MethodsWe
48 ResultsOf
49 South Indian tertiary care centre
50 adequate utilisation
51 age
52 arthritis
53 assessment
54 bone mineral density measurements
55 bone mineral density testing
56 care center
57 center
58 countries
59 cross-sectional study
60 definite female preponderance
61 densitometric profiles
62 density measurements
63 density testing
64 detail
65 diagnosis
66 diagnosis of osteoporosis
67 disorders
68 dual-energy X-ray absorptiometry scanning
69 endocrinology
70 female preponderance
71 geriatrics
72 greater number
73 higher proportion
74 individual departments
75 inflammatory arthritis
76 inflammatory disorders
77 knowledge
78 mean age
79 measurements
80 mineral density measurements
81 months
82 need
83 number
84 number of patients
85 osteoporosis
86 overall proportion
87 overall referrals
88 patients
89 patterns
90 period
91 preponderance
92 profile
93 proportion
94 range
95 reasons
96 referral
97 referral patterns
98 referral source
99 relation
100 respective proportions
101 rheumatology
102 risk
103 scanning
104 scans
105 screening
106 sites
107 source
108 southern India
109 specialties
110 state screening
111 strength
112 study
113 study period
114 subjects
115 systemic inflammatory disorder
116 tertiary care center
117 testing
118 third
119 utilisation
120 years
121 schema:name Referral pattern for DXA scanning in a tertiary care centre from southern India
122 schema:pagination 133
123 schema:productId N59ee2b59ade64b5ca120ced9221ac7d8
124 N98a07ce1b70948d5ba706b707dd7e42e
125 Nee61d52a537f491ca3a9b717ec438648
126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110063033
127 https://doi.org/10.1007/s11657-018-0548-z
128 schema:sdDatePublished 2022-12-01T06:37
129 schema:sdLicense https://scigraph.springernature.com/explorer/license/
130 schema:sdPublisher Nbfeb18afd2304aa9a151cdf358abb13d
131 schema:url https://doi.org/10.1007/s11657-018-0548-z
132 sgo:license sg:explorer/license/
133 sgo:sdDataset articles
134 rdf:type schema:ScholarlyArticle
135 N0993dc62834147a1add360b037f22967 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Middle Aged
137 rdf:type schema:DefinedTerm
138 N0c5ce0db8d474a598326214e66395f11 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Mass Screening
140 rdf:type schema:DefinedTerm
141 N0cd78c1132a942ea80738207d5ae8114 rdf:first sg:person.0706663571.58
142 rdf:rest Na767175c761b48ee8f3736f19041ab1a
143 N13c9fe8d7ea04ae7ada943968363b69c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Adult
145 rdf:type schema:DefinedTerm
146 N1449a2ff50eb49459de93cc30f74eeed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Osteoporosis
148 rdf:type schema:DefinedTerm
149 N1a2f2f1eb472450fbab25eba185764b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Cross-Sectional Studies
151 rdf:type schema:DefinedTerm
152 N35c8425563d14d3fa046de2af4bd829e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Humans
154 rdf:type schema:DefinedTerm
155 N40ecc6fc05a04568b19a7a5fbe0f528c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Tertiary Care Centers
157 rdf:type schema:DefinedTerm
158 N43eec5ead4a74dff9653a3f814286a46 schema:volumeNumber 13
159 rdf:type schema:PublicationVolume
160 N4a9feaef0c6d431aa2b4834ab83e2ed5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Referral and Consultation
162 rdf:type schema:DefinedTerm
163 N4e88f2e84b5c459ca43e1edce81949b5 rdf:first sg:person.01052357650.06
164 rdf:rest N0cd78c1132a942ea80738207d5ae8114
165 N573315f07d2949d7bf0f6cec33963f73 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Aged
167 rdf:type schema:DefinedTerm
168 N59ee2b59ade64b5ca120ced9221ac7d8 schema:name dimensions_id
169 schema:value pub.1110063033
170 rdf:type schema:PropertyValue
171 N81635b2099bb403a9754bae5a8c8809f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Lumbar Vertebrae
173 rdf:type schema:DefinedTerm
174 N838fd3931ff54d30ae656c47b41ced24 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Practice Patterns, Physicians'
176 rdf:type schema:DefinedTerm
177 N83a02e5b72ab44c7b1f063051105e71c rdf:first sg:person.01227323756.45
178 rdf:rest N4e88f2e84b5c459ca43e1edce81949b5
179 N941693e090e24f1a90174cf2821ae74f rdf:first sg:person.012210062367.15
180 rdf:rest N83a02e5b72ab44c7b1f063051105e71c
181 N98a07ce1b70948d5ba706b707dd7e42e schema:name pubmed_id
182 schema:value 30460412
183 rdf:type schema:PropertyValue
184 N9defac72ef76494a855208975458f143 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Aged, 80 and over
186 rdf:type schema:DefinedTerm
187 Na767175c761b48ee8f3736f19041ab1a rdf:first sg:person.01203473500.84
188 rdf:rest rdf:nil
189 Nb0b05856c8594c14a183175948c1ab09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Absorptiometry, Photon
191 rdf:type schema:DefinedTerm
192 Nba55d6aefff3433ba054698fa045e08d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
193 schema:name Female
194 rdf:type schema:DefinedTerm
195 Nbfeb18afd2304aa9a151cdf358abb13d schema:name Springer Nature - SN SciGraph project
196 rdf:type schema:Organization
197 Nc45769fcb3e94c2086370f89c5c96fe5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Femur Neck
199 rdf:type schema:DefinedTerm
200 Nc5ad23d2c3e54989807b3dc11c62838b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
201 schema:name India
202 rdf:type schema:DefinedTerm
203 Ncdf9893045e44565ae3bc620580bd6fa schema:issueNumber 1
204 rdf:type schema:PublicationIssue
205 Ne6eef9eaadf8487f8f2d051846debed6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Male
207 rdf:type schema:DefinedTerm
208 Nedac0c3ec8c14e9383f282c90a9b2c98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
209 schema:name Bone Density
210 rdf:type schema:DefinedTerm
211 Nee61d52a537f491ca3a9b717ec438648 schema:name doi
212 schema:value 10.1007/s11657-018-0548-z
213 rdf:type schema:PropertyValue
214 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
215 schema:name Medical and Health Sciences
216 rdf:type schema:DefinedTerm
217 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
218 schema:name Clinical Sciences
219 rdf:type schema:DefinedTerm
220 sg:journal.1039144 schema:issn 1862-3514
221 1862-3522
222 schema:name Archives of Osteoporosis
223 schema:publisher Springer Nature
224 rdf:type schema:Periodical
225 sg:person.01052357650.06 schema:affiliation grid-institutes:grid.11586.3b
226 schema:familyName Kapoor
227 schema:givenName Nitin
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052357650.06
229 rdf:type schema:Person
230 sg:person.01203473500.84 schema:affiliation grid-institutes:grid.11586.3b
231 schema:familyName Paul
232 schema:givenName Thomas V.
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203473500.84
234 rdf:type schema:Person
235 sg:person.012210062367.15 schema:affiliation grid-institutes:grid.11586.3b
236 schema:familyName Binu
237 schema:givenName Aditya John
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012210062367.15
239 rdf:type schema:Person
240 sg:person.01227323756.45 schema:affiliation grid-institutes:grid.11586.3b
241 schema:familyName Cherian
242 schema:givenName Kripa Elizabeth
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227323756.45
244 rdf:type schema:Person
245 sg:person.0706663571.58 schema:affiliation grid-institutes:grid.11586.3b
246 schema:familyName Thomas
247 schema:givenName Nihal
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706663571.58
249 rdf:type schema:Person
250 sg:pub.10.1007/s00198-014-2794-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038754393
251 https://doi.org/10.1007/s00198-014-2794-2
252 rdf:type schema:CreativeWork
253 sg:pub.10.1007/s00198-016-3769-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010212803
254 https://doi.org/10.1007/s00198-016-3769-2
255 rdf:type schema:CreativeWork
256 sg:pub.10.1007/s00223-018-0401-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101183828
257 https://doi.org/10.1007/s00223-018-0401-9
258 rdf:type schema:CreativeWork
259 sg:pub.10.1007/s10067-006-0406-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1030499677
260 https://doi.org/10.1007/s10067-006-0406-z
261 rdf:type schema:CreativeWork
262 sg:pub.10.1007/s11657-012-0094-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1036134725
263 https://doi.org/10.1007/s11657-012-0094-z
264 rdf:type schema:CreativeWork
265 sg:pub.10.1007/s11657-014-0196-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036905029
266 https://doi.org/10.1007/s11657-014-0196-x
267 rdf:type schema:CreativeWork
268 sg:pub.10.1007/s11657-017-0332-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084513567
269 https://doi.org/10.1007/s11657-017-0332-5
270 rdf:type schema:CreativeWork
271 sg:pub.10.1186/1471-2474-11-49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037574370
272 https://doi.org/10.1186/1471-2474-11-49
273 rdf:type schema:CreativeWork
274 grid-institutes:grid.11586.3b schema:alternateName Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India
275 Department of Internal Medicine, Christian Medical College, 632004, Vellore, Tamil Nadu, India
276 schema:name Department of Endocrinology, Christian Medical College, 632004, Vellore, Tamil Nadu, India
277 Department of Internal Medicine, Christian Medical College, 632004, Vellore, Tamil Nadu, India
278 rdf:type schema:Organization
 




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


...