Analysis of related risk factors of hidden blood loss after anterior cervical fusion View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-09-26

AUTHORS

Hao Yin, Xuejun He, Zhiguo Luo, Jianmin Chen, Wei Zhou, Aijun Wang

ABSTRACT

BACKGROUND: This study was carried out to analyze the risk factors of perioperative blood loss during anterior cervical fusion (ACF) and to provide guidance in perioperative blood management for patients undergoing ACF. MATERIAL AND METHODS: A retrospective study was conducted on a consecutive series of 219 patients who had undergone anterior cervical corpectomy fusion (ACCF) and anterior cervical discectomy fusion (ACDF) between January 2016 and July 2017. Patients were categorized into a low hidden blood loss (HBL) group or high HBL group. These two groups were compared for demographic distribution and clinical data to investigate the related risk factors of HBL after ACF. RESULTS: The results of the comparison between the high and the low HBL groups indicated that age, gender, concurrent medical diseases, prothrombin time (PT), surgical segmentation, operative time, intraoperative bleeding, total drainage, time for extraction of drainage tube, loss of red blood cell volume, preoperative blood volume, perioperative HBL and total perioperative blood loss were statistically significant between the two groups (P < 0.05). Furthermore, logistic multivariate regression analysis of 13 factors with statistical significance in univariate analysis showed that intraoperative hemorrhage (OR = 0.985, P = 0.000) and total drainage (OR = 0.970, P = 0.000) were risk factors for high HBL. CONCLUSION: The risk factors for HBL after ACF are varied. Multivariate logistic regression analysis showed that intraoperative blood loss and total drainage were risk factors for high HBL. The authors believe that a reasonable surgical strategy, improved surgical techniques, rational use of hemostatics during surgery, decreased intraoperative blood loss and total drainage can help to reduce HBL. More... »

PAGES

1-7

Journal

TITLE

Der Orthopäde

ISSUE

N/A

VOLUME

N/A

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00132-018-3652-2

DOI

http://dx.doi.org/10.1007/s00132-018-3652-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107257213

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30259060


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Hunan Provincial People 's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.477407.7", 
          "name": [
            "Hunan Provincial People\u2019s Hospital, 410001, Changsha, Hunan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yin", 
        "givenName": "Hao", 
        "id": "sg:person.015353770334.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015353770334.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Provincial People 's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.477407.7", 
          "name": [
            "Department of Orthorpaedic Surgery, Hunan Provincial People\u2019s Hospital, No.\u00a089 Guhan Road, Furong district, 410001, Changsha, Hunan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Xuejun", 
        "id": "sg:person.010243660134.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010243660134.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Provincial People 's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.477407.7", 
          "name": [
            "Hunan Provincial People\u2019s Hospital, 410001, Changsha, Hunan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luo", 
        "givenName": "Zhiguo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Provincial People 's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.477407.7", 
          "name": [
            "Hunan Provincial People\u2019s Hospital, 410001, Changsha, Hunan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Jianmin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Provincial People 's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.477407.7", 
          "name": [
            "Hunan Provincial People\u2019s Hospital, 410001, Changsha, Hunan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Wei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Provincial People 's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.477407.7", 
          "name": [
            "Hunan Provincial People\u2019s Hospital, 410001, Changsha, Hunan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Aijun", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0968-0160(00)00047-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008092196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/brs.0b013e31826c63cb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008444368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/brs.0b013e31826c63cb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008444368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00586-013-2836-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011741017", 
          "https://doi.org/10.1007/s00586-013-2836-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjmed.2015.10.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013878325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00007632-198904000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031388008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00007632-198904000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031388008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000542-198303000-00016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034784920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00000542-198303000-00016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034784920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.spinee.2013.02.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036301729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1620/tjem.229.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037825326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9440(10)64457-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041871614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(11)61381-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044349259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/eja.0000000000000202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045966255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/eja.0000000000000202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045966255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e3181e08e97", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046934643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e3181e08e97", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046934643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aln.0b013e3181e08e97", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046934643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0049-3848(86)91700-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050567114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00586-004-0753-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052589454", 
          "https://doi.org/10.1007/s00586-004-0753-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00586-004-0753-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052589454", 
          "https://doi.org/10.1007/s00586-004-0753-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074474802", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076281338", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.86b4.14508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076847357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077942314", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078452272", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079051927", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0038-1661557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079550990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0038-1657877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080043019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082264240", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wneu.2017.10.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092238809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/brs.0000000000002491", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092802287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/brs.0000000000002491", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092802287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13018-017-0698-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100088153", 
          "https://doi.org/10.1186/s13018-017-0698-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.injury.2018.01.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100793414"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-09-26", 
    "datePublishedReg": "2018-09-26", 
    "description": "BACKGROUND: This study was carried out to analyze the risk factors of perioperative blood loss during anterior cervical fusion\u00a0(ACF) and to provide guidance in perioperative blood management for patients undergoing ACF.\nMATERIAL AND METHODS: A\u00a0retrospective study was conducted on a\u00a0consecutive series of 219 patients who had undergone anterior cervical corpectomy fusion (ACCF) and anterior cervical discectomy fusion (ACDF) between January 2016 and July 2017. Patients were categorized into a low hidden blood loss (HBL) group or high HBL group. These two groups were compared for demographic distribution and clinical data to investigate the related risk factors of HBL after ACF.\nRESULTS: The results of the comparison between the high and the low HBL groups indicated that age, gender, concurrent medical diseases, prothrombin time (PT), surgical segmentation, operative time, intraoperative bleeding, total drainage, time for extraction of drainage tube, loss of red blood cell volume, preoperative blood volume, perioperative HBL and total perioperative blood loss were statistically significant between the two groups (P\u202f<\u20090.05). Furthermore, logistic multivariate regression analysis of 13\u00a0factors with statistical significance in univariate analysis showed that intraoperative hemorrhage (OR\u202f=\u20090.985, P\u202f=\u20090.000) and total drainage (OR\u202f=\u20090.970, P\u202f=\u20090.000) were risk factors for high HBL.\nCONCLUSION: The risk factors for HBL after ACF are varied. Multivariate logistic regression analysis showed that intraoperative blood loss and total drainage were risk factors for high HBL. The authors believe that a\u00a0reasonable surgical strategy, improved surgical techniques, rational use of hemostatics during surgery, decreased intraoperative blood loss and total drainage can help to reduce HBL.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00132-018-3652-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1015543", 
        "issn": [
          "0085-4530", 
          "1433-0431"
        ], 
        "name": "Der Orthop\u00e4de", 
        "type": "Periodical"
      }
    ], 
    "name": "Analysis of related risk factors of hidden blood loss after anterior cervical fusion", 
    "pagination": "1-7", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8a5bee0a8207facfd4cf9e7898392c8846ff888616d57fd09b891db667bd6169"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30259060"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0331266"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00132-018-3652-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107257213"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00132-018-3652-2", 
      "https://app.dimensions.ai/details/publication/pub.1107257213"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:14", 
    "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_8678_00000540.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00132-018-3652-2"
  }
]
 

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/s00132-018-3652-2'

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/s00132-018-3652-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00132-018-3652-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00132-018-3652-2'


 

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

173 TRIPLES      21 PREDICATES      53 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00132-018-3652-2 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N20fdf914bb7043489a772cf23eab517d
4 schema:citation sg:pub.10.1007/s00586-004-0753-x
5 sg:pub.10.1007/s00586-013-2836-z
6 sg:pub.10.1186/s13018-017-0698-5
7 https://app.dimensions.ai/details/publication/pub.1074474802
8 https://app.dimensions.ai/details/publication/pub.1076281338
9 https://app.dimensions.ai/details/publication/pub.1077942314
10 https://app.dimensions.ai/details/publication/pub.1078452272
11 https://app.dimensions.ai/details/publication/pub.1079051927
12 https://app.dimensions.ai/details/publication/pub.1082264240
13 https://doi.org/10.1016/0049-3848(86)91700-7
14 https://doi.org/10.1016/j.amjmed.2015.10.012
15 https://doi.org/10.1016/j.injury.2018.01.026
16 https://doi.org/10.1016/j.spinee.2013.02.008
17 https://doi.org/10.1016/j.wneu.2017.10.050
18 https://doi.org/10.1016/s0002-9440(10)64457-4
19 https://doi.org/10.1016/s0140-6736(11)61381-0
20 https://doi.org/10.1016/s0968-0160(00)00047-8
21 https://doi.org/10.1055/s-0038-1657877
22 https://doi.org/10.1055/s-0038-1661557
23 https://doi.org/10.1097/00000542-198303000-00016
24 https://doi.org/10.1097/00007632-198904000-00002
25 https://doi.org/10.1097/aln.0b013e3181e08e97
26 https://doi.org/10.1097/brs.0000000000002491
27 https://doi.org/10.1097/brs.0b013e31826c63cb
28 https://doi.org/10.1097/eja.0000000000000202
29 https://doi.org/10.1302/0301-620x.86b4.14508
30 https://doi.org/10.1620/tjem.229.1
31 schema:datePublished 2018-09-26
32 schema:datePublishedReg 2018-09-26
33 schema:description BACKGROUND: This study was carried out to analyze the risk factors of perioperative blood loss during anterior cervical fusion (ACF) and to provide guidance in perioperative blood management for patients undergoing ACF. MATERIAL AND METHODS: A retrospective study was conducted on a consecutive series of 219 patients who had undergone anterior cervical corpectomy fusion (ACCF) and anterior cervical discectomy fusion (ACDF) between January 2016 and July 2017. Patients were categorized into a low hidden blood loss (HBL) group or high HBL group. These two groups were compared for demographic distribution and clinical data to investigate the related risk factors of HBL after ACF. RESULTS: The results of the comparison between the high and the low HBL groups indicated that age, gender, concurrent medical diseases, prothrombin time (PT), surgical segmentation, operative time, intraoperative bleeding, total drainage, time for extraction of drainage tube, loss of red blood cell volume, preoperative blood volume, perioperative HBL and total perioperative blood loss were statistically significant between the two groups (P < 0.05). Furthermore, logistic multivariate regression analysis of 13 factors with statistical significance in univariate analysis showed that intraoperative hemorrhage (OR = 0.985, P = 0.000) and total drainage (OR = 0.970, P = 0.000) were risk factors for high HBL. CONCLUSION: The risk factors for HBL after ACF are varied. Multivariate logistic regression analysis showed that intraoperative blood loss and total drainage were risk factors for high HBL. The authors believe that a reasonable surgical strategy, improved surgical techniques, rational use of hemostatics during surgery, decreased intraoperative blood loss and total drainage can help to reduce HBL.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree false
37 schema:isPartOf sg:journal.1015543
38 schema:name Analysis of related risk factors of hidden blood loss after anterior cervical fusion
39 schema:pagination 1-7
40 schema:productId N6718989fe22d46798d48990ab724a9cc
41 N6c6e4734f38c4130bd3ff25d9f40dfdc
42 N8085656c84cc4b269633db3e61be1852
43 N89a8da92eeb94b83a55fa6e30a6d3f8a
44 Nda9298c272b942938af813d5bcd7c079
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107257213
46 https://doi.org/10.1007/s00132-018-3652-2
47 schema:sdDatePublished 2019-04-10T19:14
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher Nd434c09446d0440ea1525891c289aae8
50 schema:url https://link.springer.com/10.1007%2Fs00132-018-3652-2
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N13a9406729b140eb9a5bbbc2e227fa4c schema:affiliation https://www.grid.ac/institutes/grid.477407.7
55 schema:familyName Wang
56 schema:givenName Aijun
57 rdf:type schema:Person
58 N1aaffc5b90944ed385c97b348e460110 schema:affiliation https://www.grid.ac/institutes/grid.477407.7
59 schema:familyName Luo
60 schema:givenName Zhiguo
61 rdf:type schema:Person
62 N20fdf914bb7043489a772cf23eab517d rdf:first sg:person.015353770334.11
63 rdf:rest Ne12b6ac3be6e45ccb8e4433528057fdc
64 N31d7cc6c1a8c4cd69fc5d10bd56de452 schema:affiliation https://www.grid.ac/institutes/grid.477407.7
65 schema:familyName Chen
66 schema:givenName Jianmin
67 rdf:type schema:Person
68 N3ce85dada84341798670f52975f333af rdf:first Nce6a385296a14009b7a77d749f802a05
69 rdf:rest N699b9a9869ba4ea19c8dce58919856ca
70 N6718989fe22d46798d48990ab724a9cc schema:name doi
71 schema:value 10.1007/s00132-018-3652-2
72 rdf:type schema:PropertyValue
73 N699b9a9869ba4ea19c8dce58919856ca rdf:first N13a9406729b140eb9a5bbbc2e227fa4c
74 rdf:rest rdf:nil
75 N6c6e4734f38c4130bd3ff25d9f40dfdc schema:name readcube_id
76 schema:value 8a5bee0a8207facfd4cf9e7898392c8846ff888616d57fd09b891db667bd6169
77 rdf:type schema:PropertyValue
78 N8085656c84cc4b269633db3e61be1852 schema:name dimensions_id
79 schema:value pub.1107257213
80 rdf:type schema:PropertyValue
81 N88f0f05511b943f0abe4bbab7f04e4c6 rdf:first N1aaffc5b90944ed385c97b348e460110
82 rdf:rest Nf9c658cf6a0b4c0096d27dc1d666a48d
83 N89a8da92eeb94b83a55fa6e30a6d3f8a schema:name pubmed_id
84 schema:value 30259060
85 rdf:type schema:PropertyValue
86 Nce6a385296a14009b7a77d749f802a05 schema:affiliation https://www.grid.ac/institutes/grid.477407.7
87 schema:familyName Zhou
88 schema:givenName Wei
89 rdf:type schema:Person
90 Nd434c09446d0440ea1525891c289aae8 schema:name Springer Nature - SN SciGraph project
91 rdf:type schema:Organization
92 Nda9298c272b942938af813d5bcd7c079 schema:name nlm_unique_id
93 schema:value 0331266
94 rdf:type schema:PropertyValue
95 Ne12b6ac3be6e45ccb8e4433528057fdc rdf:first sg:person.010243660134.92
96 rdf:rest N88f0f05511b943f0abe4bbab7f04e4c6
97 Nf9c658cf6a0b4c0096d27dc1d666a48d rdf:first N31d7cc6c1a8c4cd69fc5d10bd56de452
98 rdf:rest N3ce85dada84341798670f52975f333af
99 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
100 schema:name Medical and Health Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
103 schema:name Clinical Sciences
104 rdf:type schema:DefinedTerm
105 sg:journal.1015543 schema:issn 0085-4530
106 1433-0431
107 schema:name Der Orthopäde
108 rdf:type schema:Periodical
109 sg:person.010243660134.92 schema:affiliation https://www.grid.ac/institutes/grid.477407.7
110 schema:familyName He
111 schema:givenName Xuejun
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010243660134.92
113 rdf:type schema:Person
114 sg:person.015353770334.11 schema:affiliation https://www.grid.ac/institutes/grid.477407.7
115 schema:familyName Yin
116 schema:givenName Hao
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015353770334.11
118 rdf:type schema:Person
119 sg:pub.10.1007/s00586-004-0753-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052589454
120 https://doi.org/10.1007/s00586-004-0753-x
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/s00586-013-2836-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1011741017
123 https://doi.org/10.1007/s00586-013-2836-z
124 rdf:type schema:CreativeWork
125 sg:pub.10.1186/s13018-017-0698-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100088153
126 https://doi.org/10.1186/s13018-017-0698-5
127 rdf:type schema:CreativeWork
128 https://app.dimensions.ai/details/publication/pub.1074474802 schema:CreativeWork
129 https://app.dimensions.ai/details/publication/pub.1076281338 schema:CreativeWork
130 https://app.dimensions.ai/details/publication/pub.1077942314 schema:CreativeWork
131 https://app.dimensions.ai/details/publication/pub.1078452272 schema:CreativeWork
132 https://app.dimensions.ai/details/publication/pub.1079051927 schema:CreativeWork
133 https://app.dimensions.ai/details/publication/pub.1082264240 schema:CreativeWork
134 https://doi.org/10.1016/0049-3848(86)91700-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050567114
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.amjmed.2015.10.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013878325
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.injury.2018.01.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100793414
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.spinee.2013.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036301729
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.wneu.2017.10.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092238809
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/s0002-9440(10)64457-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041871614
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/s0140-6736(11)61381-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044349259
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/s0968-0160(00)00047-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008092196
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1055/s-0038-1657877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080043019
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1055/s-0038-1661557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079550990
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1097/00000542-198303000-00016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034784920
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1097/00007632-198904000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031388008
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1097/aln.0b013e3181e08e97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046934643
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1097/brs.0000000000002491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092802287
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1097/brs.0b013e31826c63cb schema:sameAs https://app.dimensions.ai/details/publication/pub.1008444368
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1097/eja.0000000000000202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045966255
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1302/0301-620x.86b4.14508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076847357
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1620/tjem.229.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037825326
169 rdf:type schema:CreativeWork
170 https://www.grid.ac/institutes/grid.477407.7 schema:alternateName Hunan Provincial People 's Hospital
171 schema:name Department of Orthorpaedic Surgery, Hunan Provincial People’s Hospital, No. 89 Guhan Road, Furong district, 410001, Changsha, Hunan, China
172 Hunan Provincial People’s Hospital, 410001, Changsha, Hunan, China
173 rdf:type schema:Organization
 




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


...