Analysis of four-fragment fractures of the proximal humerus: the interest of 2D and 3D imagery and inter- and intra-observer reproducibility View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

X. Ohl, P. Mangin, C. Barbe, V. Brun, C. Nerot, F. Sirveaux

ABSTRACT

The treatment of the four-part fractures of the proximal humerus remains a therapeutic challenge. The decision-making is based on preoperative criteria concerning the displacement of the fracture, the stability of the fracture and the risk of avascular necrosis of the humeral head. The aim of this study was to analyse the inter- and intra-observer reproducibility of those criteria previously described by Hertel. Three observers analysed three times 20 radiologic files comprising 2D X-rays, 2D CT scan and 3D reconstructions for the intra-observer study, and an expert committee was used to assess the inter-observer reproducibility. The Kappa coefficient was used to measure agreement. The Kappa coefficient founded poor to moderate agreement for the majority of the criteria after the 2D X-ray analysis. This coefficient was improved with the use of 2D CT scan and 3D reconstructions, in particular for the medial hinge assessment, the humeral head fracture and the metaphyseal extension. The reproducibility of the criteria described by Hertel on 2D X-rays is at least moderate. Reproducibility could be considerably improved by associating 2D scans and 3D reconstruction, in particular for the criteria related to prognosis for the vascularisation of the humeral head. More... »

PAGES

295-299

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00590-017-1911-2

DOI

http://dx.doi.org/10.1007/s00590-017-1911-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1074213410

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28120098


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/2008/1103", 
        "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": "Clinical Decision-Making", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humeral Head", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Imaging, Three-Dimensional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Shoulder Fractures", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Maison Blanche", 
          "id": "https://www.grid.ac/institutes/grid.414215.7", 
          "name": [
            "Department of Orthopaedic Surgery, Reims Teaching Hospital, CHU Maison-Blanche, 45 rue Cognacq-Jay, 51092, Reims, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohl", 
        "givenName": "X.", 
        "id": "sg:person.0662774027.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662774027.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Maison Blanche", 
          "id": "https://www.grid.ac/institutes/grid.414215.7", 
          "name": [
            "Department of Orthopaedic Surgery, Reims Teaching Hospital, CHU Maison-Blanche, 45 rue Cognacq-Jay, 51092, Reims, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mangin", 
        "givenName": "P.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire De Reims", 
          "id": "https://www.grid.ac/institutes/grid.139510.f", 
          "name": [
            "Research Methodology Unit, Reims Teaching Hospital, CHU Robert Debr\u00e9, Avenue du G\u00e9n\u00e9ral Koenig, 51092, Reims, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barbe", 
        "givenName": "C.", 
        "id": "sg:person.0767752123.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767752123.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Maison Blanche", 
          "id": "https://www.grid.ac/institutes/grid.414215.7", 
          "name": [
            "Department of Orthopaedic Surgery, Reims Teaching Hospital, CHU Maison-Blanche, 45 rue Cognacq-Jay, 51092, Reims, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brun", 
        "givenName": "V.", 
        "id": "sg:person.015121100771.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015121100771.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Maison Blanche", 
          "id": "https://www.grid.ac/institutes/grid.414215.7", 
          "name": [
            "Department of Orthopaedic Surgery, Reims Teaching Hospital, CHU Maison-Blanche, 45 rue Cognacq-Jay, 51092, Reims, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nerot", 
        "givenName": "C.", 
        "id": "sg:person.014647360674.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014647360674.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Nancy", 
          "id": "https://www.grid.ac/institutes/grid.410527.5", 
          "name": [
            "Department of Orthopaedic Surgery, Centre Chirurgical Emile Gall\u00e9, CHU de Nancy, 49 rue Hermitte, 54000, Nancy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sirveaux", 
        "givenName": "F.", 
        "id": "sg:person.0663730465.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663730465.67"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/bot.0b013e3180333094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002710781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/bot.0b013e3180333094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002710781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2474-10-33", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011849142", 
          "https://doi.org/10.1186/1471-2474-10-33"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.injury.2012.04.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019711899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2004.01.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025919248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000194672.79634.78", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033296342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000194672.79634.78", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033296342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000194672.79634.78", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033296342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rboe.2014.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033712436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rboe.2014.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033712436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinepi.2007.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037322274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/17453679908997818", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039464946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2011.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041446951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rbo.2013.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043551460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rbo.2013.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043551460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2011.01.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045441744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00590-011-0916-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050441174", 
          "https://doi.org/10.1007/s00590-011-0916-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ta.0b013e3181beed96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052204530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ta.0b013e3181beed96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052204530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ta.0b013e3181beed96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052204530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.l.01293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068903291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.l.01293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068903291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.l.01293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068903291"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-04", 
    "datePublishedReg": "2017-04-01", 
    "description": "The treatment of the four-part fractures of the proximal humerus remains a therapeutic challenge. The decision-making is based on preoperative criteria concerning the displacement of the fracture, the stability of the fracture and the risk of avascular necrosis of the humeral head. The aim of this study was to analyse the inter- and intra-observer reproducibility of those criteria previously described by Hertel. Three observers analysed three times 20 radiologic files comprising 2D X-rays, 2D CT scan and 3D reconstructions for the intra-observer study, and an expert committee was used to assess the inter-observer reproducibility. The Kappa coefficient was used to measure agreement. The Kappa coefficient founded poor to moderate agreement for the majority of the criteria after the 2D X-ray analysis. This coefficient was improved with the use of 2D CT scan and 3D reconstructions, in particular for the medial hinge assessment, the humeral head fracture and the metaphyseal extension. The reproducibility of the criteria described by Hertel on 2D X-rays is at least moderate. Reproducibility could be considerably improved by associating 2D scans and 3D reconstruction, in particular for the criteria related to prognosis for the vascularisation of the humeral head.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00590-017-1911-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1114904", 
        "issn": [
          "1633-8065", 
          "1432-1068"
        ], 
        "name": "European Journal of Orthopaedic Surgery & Traumatology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "name": "Analysis of four-fragment fractures of the proximal humerus: the interest of 2D and 3D imagery and inter- and intra-observer reproducibility", 
    "pagination": "295-299", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "db52f36413d7a6338d7d696be802f610f3db22038bed94b35c63b4a721ff39ac"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28120098"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9518037"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00590-017-1911-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1074213410"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00590-017-1911-2", 
      "https://app.dimensions.ai/details/publication/pub.1074213410"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:37", 
    "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/v90/0000000349_0000000349/records_113673_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00590-017-1911-2"
  }
]
 

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/s00590-017-1911-2'

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/s00590-017-1911-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00590-017-1911-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00590-017-1911-2'


 

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

189 TRIPLES      21 PREDICATES      52 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00590-017-1911-2 schema:about N5a5ac1dd4c3148f2bc4fab709c450658
2 N691e231d674247ea8d11af9d1d4ba7aa
3 N6e1367c520074af4bd1ec6f9edaf008b
4 N871e6b022b04457b91654e1355b89e47
5 N9692589ee40244579bef5d8c0ca4957e
6 Ncbc881315c43465586822a6523b2e19c
7 Nd5fddcd7a72a4178b4a075c4af6d1dc8
8 Nd995f6dafdd64e2b9a60cc51bbc441f0
9 Ndb42f7a4de2f475ba1e0633784bc910a
10 anzsrc-for:11
11 anzsrc-for:1103
12 schema:author N14aca3645c804a5bbe7d707a7f6f2e6c
13 schema:citation sg:pub.10.1007/s00590-011-0916-5
14 sg:pub.10.1186/1471-2474-10-33
15 https://doi.org/10.1016/j.injury.2012.04.015
16 https://doi.org/10.1016/j.jclinepi.2007.04.014
17 https://doi.org/10.1016/j.jse.2004.01.034
18 https://doi.org/10.1016/j.jse.2011.01.009
19 https://doi.org/10.1016/j.jse.2011.01.020
20 https://doi.org/10.1016/j.rbo.2013.08.003
21 https://doi.org/10.1016/j.rboe.2014.03.016
22 https://doi.org/10.1097/01.blo.0000194672.79634.78
23 https://doi.org/10.1097/bot.0b013e3180333094
24 https://doi.org/10.1097/ta.0b013e3181beed96
25 https://doi.org/10.2106/jbjs.l.01293
26 https://doi.org/10.3109/17453679908997818
27 schema:datePublished 2017-04
28 schema:datePublishedReg 2017-04-01
29 schema:description The treatment of the four-part fractures of the proximal humerus remains a therapeutic challenge. The decision-making is based on preoperative criteria concerning the displacement of the fracture, the stability of the fracture and the risk of avascular necrosis of the humeral head. The aim of this study was to analyse the inter- and intra-observer reproducibility of those criteria previously described by Hertel. Three observers analysed three times 20 radiologic files comprising 2D X-rays, 2D CT scan and 3D reconstructions for the intra-observer study, and an expert committee was used to assess the inter-observer reproducibility. The Kappa coefficient was used to measure agreement. The Kappa coefficient founded poor to moderate agreement for the majority of the criteria after the 2D X-ray analysis. This coefficient was improved with the use of 2D CT scan and 3D reconstructions, in particular for the medial hinge assessment, the humeral head fracture and the metaphyseal extension. The reproducibility of the criteria described by Hertel on 2D X-rays is at least moderate. Reproducibility could be considerably improved by associating 2D scans and 3D reconstruction, in particular for the criteria related to prognosis for the vascularisation of the humeral head.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree false
33 schema:isPartOf N24693bad356a40f6816bb7d792aa2c61
34 N56039f4124864ba184ce1345919c3af1
35 sg:journal.1114904
36 schema:name Analysis of four-fragment fractures of the proximal humerus: the interest of 2D and 3D imagery and inter- and intra-observer reproducibility
37 schema:pagination 295-299
38 schema:productId N07bebd58aae14066b8dc6024819f3bd6
39 N15ba8d90a6a44c99b2bcca88098e862a
40 N50d71468647545d989723af7ddf410df
41 N70284a7012a7476f981cee33bc0b451d
42 Nee132b57177c47759a5f4ad1f8cbb334
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074213410
44 https://doi.org/10.1007/s00590-017-1911-2
45 schema:sdDatePublished 2019-04-11T10:37
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N33f680bea3394e9eafb89c72b80dd9e2
48 schema:url https://link.springer.com/10.1007%2Fs00590-017-1911-2
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N07bebd58aae14066b8dc6024819f3bd6 schema:name nlm_unique_id
53 schema:value 9518037
54 rdf:type schema:PropertyValue
55 N14aca3645c804a5bbe7d707a7f6f2e6c rdf:first sg:person.0662774027.08
56 rdf:rest N6c97b28218054c90840193ee2e18e961
57 N15ba8d90a6a44c99b2bcca88098e862a schema:name doi
58 schema:value 10.1007/s00590-017-1911-2
59 rdf:type schema:PropertyValue
60 N24693bad356a40f6816bb7d792aa2c61 schema:volumeNumber 27
61 rdf:type schema:PublicationVolume
62 N2af461a13b994fb5b6ff4de8a94dde40 rdf:first sg:person.014647360674.78
63 rdf:rest N3d6c61b36c06435eacc80afe69ed25a6
64 N33f680bea3394e9eafb89c72b80dd9e2 schema:name Springer Nature - SN SciGraph project
65 rdf:type schema:Organization
66 N3d6c61b36c06435eacc80afe69ed25a6 rdf:first sg:person.0663730465.67
67 rdf:rest rdf:nil
68 N50d71468647545d989723af7ddf410df schema:name pubmed_id
69 schema:value 28120098
70 rdf:type schema:PropertyValue
71 N56039f4124864ba184ce1345919c3af1 schema:issueNumber 3
72 rdf:type schema:PublicationIssue
73 N5a5ac1dd4c3148f2bc4fab709c450658 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Imaging, Three-Dimensional
75 rdf:type schema:DefinedTerm
76 N5b2684152b7042e0b6b770047163378c rdf:first sg:person.0767752123.06
77 rdf:rest Nb43944bfdf854c02a649ed56b7bb323a
78 N691e231d674247ea8d11af9d1d4ba7aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Tomography, X-Ray Computed
80 rdf:type schema:DefinedTerm
81 N6c97b28218054c90840193ee2e18e961 rdf:first N70d884b24a4a4f29afdb642c9cf8d338
82 rdf:rest N5b2684152b7042e0b6b770047163378c
83 N6e1367c520074af4bd1ec6f9edaf008b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Humans
85 rdf:type schema:DefinedTerm
86 N70284a7012a7476f981cee33bc0b451d schema:name dimensions_id
87 schema:value pub.1074213410
88 rdf:type schema:PropertyValue
89 N70d884b24a4a4f29afdb642c9cf8d338 schema:affiliation https://www.grid.ac/institutes/grid.414215.7
90 schema:familyName Mangin
91 schema:givenName P.
92 rdf:type schema:Person
93 N871e6b022b04457b91654e1355b89e47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Humeral Head
95 rdf:type schema:DefinedTerm
96 N9692589ee40244579bef5d8c0ca4957e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Observer Variation
98 rdf:type schema:DefinedTerm
99 Nb43944bfdf854c02a649ed56b7bb323a rdf:first sg:person.015121100771.35
100 rdf:rest N2af461a13b994fb5b6ff4de8a94dde40
101 Ncbc881315c43465586822a6523b2e19c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Reproducibility of Results
103 rdf:type schema:DefinedTerm
104 Nd5fddcd7a72a4178b4a075c4af6d1dc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Clinical Decision-Making
106 rdf:type schema:DefinedTerm
107 Nd995f6dafdd64e2b9a60cc51bbc441f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Image Processing, Computer-Assisted
109 rdf:type schema:DefinedTerm
110 Ndb42f7a4de2f475ba1e0633784bc910a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Shoulder Fractures
112 rdf:type schema:DefinedTerm
113 Nee132b57177c47759a5f4ad1f8cbb334 schema:name readcube_id
114 schema:value db52f36413d7a6338d7d696be802f610f3db22038bed94b35c63b4a721ff39ac
115 rdf:type schema:PropertyValue
116 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
117 schema:name Medical and Health Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
120 schema:name Clinical Sciences
121 rdf:type schema:DefinedTerm
122 sg:journal.1114904 schema:issn 1432-1068
123 1633-8065
124 schema:name European Journal of Orthopaedic Surgery & Traumatology
125 rdf:type schema:Periodical
126 sg:person.014647360674.78 schema:affiliation https://www.grid.ac/institutes/grid.414215.7
127 schema:familyName Nerot
128 schema:givenName C.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014647360674.78
130 rdf:type schema:Person
131 sg:person.015121100771.35 schema:affiliation https://www.grid.ac/institutes/grid.414215.7
132 schema:familyName Brun
133 schema:givenName V.
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015121100771.35
135 rdf:type schema:Person
136 sg:person.0662774027.08 schema:affiliation https://www.grid.ac/institutes/grid.414215.7
137 schema:familyName Ohl
138 schema:givenName X.
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662774027.08
140 rdf:type schema:Person
141 sg:person.0663730465.67 schema:affiliation https://www.grid.ac/institutes/grid.410527.5
142 schema:familyName Sirveaux
143 schema:givenName F.
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663730465.67
145 rdf:type schema:Person
146 sg:person.0767752123.06 schema:affiliation https://www.grid.ac/institutes/grid.139510.f
147 schema:familyName Barbe
148 schema:givenName C.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767752123.06
150 rdf:type schema:Person
151 sg:pub.10.1007/s00590-011-0916-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050441174
152 https://doi.org/10.1007/s00590-011-0916-5
153 rdf:type schema:CreativeWork
154 sg:pub.10.1186/1471-2474-10-33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011849142
155 https://doi.org/10.1186/1471-2474-10-33
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.injury.2012.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019711899
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.jclinepi.2007.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037322274
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.jse.2004.01.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025919248
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.jse.2011.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041446951
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.jse.2011.01.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045441744
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.rbo.2013.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043551460
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.rboe.2014.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033712436
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1097/01.blo.0000194672.79634.78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033296342
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1097/bot.0b013e3180333094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002710781
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1097/ta.0b013e3181beed96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052204530
176 rdf:type schema:CreativeWork
177 https://doi.org/10.2106/jbjs.l.01293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068903291
178 rdf:type schema:CreativeWork
179 https://doi.org/10.3109/17453679908997818 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039464946
180 rdf:type schema:CreativeWork
181 https://www.grid.ac/institutes/grid.139510.f schema:alternateName Centre Hospitalier Universitaire De Reims
182 schema:name Research Methodology Unit, Reims Teaching Hospital, CHU Robert Debré, Avenue du Général Koenig, 51092, Reims, France
183 rdf:type schema:Organization
184 https://www.grid.ac/institutes/grid.410527.5 schema:alternateName Centre Hospitalier Universitaire de Nancy
185 schema:name Department of Orthopaedic Surgery, Centre Chirurgical Emile Gallé, CHU de Nancy, 49 rue Hermitte, 54000, Nancy, France
186 rdf:type schema:Organization
187 https://www.grid.ac/institutes/grid.414215.7 schema:alternateName Hôpital Maison Blanche
188 schema:name Department of Orthopaedic Surgery, Reims Teaching Hospital, CHU Maison-Blanche, 45 rue Cognacq-Jay, 51092, Reims, France
189 rdf:type schema:Organization
 




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


...