Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-12-22

AUTHORS

Elham Rostami, David Gustafsson, Anders Hånell, Timothy Howells, Samuel Lenell, Anders Lewén, Per Enblad

ABSTRACT

BackgroundA major challenge in management of traumatic brain injury (TBI) is to assess the heterogeneity of TBI pathology and outcome prediction. A reliable outcome prediction would have both great value for the healthcare provider, but also for the patients and their relatives. A well-known prediction model is the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) prognostic calculator. The aim of this study was to externally validate all three modules of the IMPACT calculator on TBI patients admitted to Uppsala University hospital (UUH).MethodTBI patients admitted to UUH are continuously enrolled into the Uppsala neurointensive care unit (NICU) TBI Uppsala Clinical Research (UCR) quality register. The register contains both clinical and demographic data, radiological evaluations, and outcome assessments based on the extended Glasgow outcome scale extended (GOSE) performed at 6 months to 1 year. In this study, we included 635 patients with severe TBI admitted during 2008–2020. We used IMPACT core parameters: age, motor score, and pupillary reaction.ResultsThe patients had a median age of 56 (range 18–93), 142 female and 478 male. Using the IMPACT Core model to predict outcome resulted in an AUC of 0.85 for mortality and 0.79 for unfavorable outcome. The CT module did not increase AUC for mortality and slightly decreased AUC for unfavorable outcome to 0.78. However, the lab module increased AUC for mortality to 0.89 but slightly decreased for unfavorable outcome to 0.76. Comparing the predicted risk to actual outcomes, we found that all three models correctly predicted low risk of mortality in the surviving group of GOSE 2–8. However, it produced a greater variance of predicted risk in the GOSE 1 group, denoting general underprediction of risk. Regarding unfavorable outcome, all models once again underestimated the risk in the GOSE 3–4 groups, but correctly predicts low risk in GOSE 5–8.ConclusionsThe results of our study are in line with previous findings from centers with modern TBI care using the IMPACT model, in that the model provides adequate prediction for mortality and unfavorable outcome. However, it should be noted that the prediction is limited to 6 months outcome and not longer time interval. More... »

PAGES

615-624

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00701-021-05040-6

DOI

http://dx.doi.org/10.1007/s00701-021-05040-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1144064681

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34936014


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"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain Injuries, Traumatic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glasgow Outcome Scale", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sweden", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rostami", 
        "givenName": "Elham", 
        "id": "sg:person.0656617411.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656617411.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gustafsson", 
        "givenName": "David", 
        "id": "sg:person.014037572223.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014037572223.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "H\u00e5nell", 
        "givenName": "Anders", 
        "id": "sg:person.0731651501.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731651501.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Howells", 
        "givenName": "Timothy", 
        "id": "sg:person.0603142106.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603142106.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden", 
            "Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lenell", 
        "givenName": "Samuel", 
        "id": "sg:person.01167541762.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167541762.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lew\u00e9n", 
        "givenName": "Anders", 
        "id": "sg:person.01132726676.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132726676.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Enblad", 
        "givenName": "Per", 
        "id": "sg:person.0577740643.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577740643.39"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2105-12-77", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014582441", 
          "https://doi.org/10.1186/1471-2105-12-77"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13049-014-0068-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022288981", 
          "https://doi.org/10.1186/s13049-014-0068-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00701-012-1351-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039694133", 
          "https://doi.org/10.1007/s00701-012-1351-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6947-6-38", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019156164", 
          "https://doi.org/10.1186/1472-6947-6-38"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-12-22", 
    "datePublishedReg": "2021-12-22", 
    "description": "Abstract\nBackgroundA major challenge in management of traumatic brain injury (TBI) is to assess the heterogeneity of TBI pathology and outcome prediction. A reliable outcome prediction would have both great value for the healthcare provider, but also for the patients and their relatives. A well-known prediction model is the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) prognostic calculator. The aim of this study was to externally validate all three modules of the IMPACT calculator on TBI patients admitted to Uppsala University hospital (UUH).MethodTBI patients admitted to UUH are continuously enrolled into the Uppsala neurointensive care unit (NICU) TBI Uppsala Clinical Research (UCR) quality register. The register contains both clinical and demographic data, radiological evaluations, and outcome assessments based on the extended Glasgow outcome scale extended (GOSE) performed at 6 months to 1 year. In this study, we included 635 patients with severe TBI admitted during 2008\u20132020. We used IMPACT core parameters: age, motor score, and pupillary reaction.ResultsThe patients had a median age of 56 (range 18\u201393), 142 female and 478 male. Using the IMPACT Core model to predict outcome resulted in an AUC of 0.85 for mortality and 0.79 for unfavorable outcome. The CT module did not increase AUC for mortality and slightly decreased AUC for unfavorable outcome to 0.78. However, the lab module increased AUC for mortality to 0.89 but slightly decreased for unfavorable outcome to 0.76. Comparing the predicted risk to actual outcomes, we found that all three models correctly predicted low risk of mortality in the surviving group of GOSE 2\u20138. However, it produced a greater variance of predicted risk in the GOSE 1 group, denoting general underprediction of risk. Regarding unfavorable outcome, all models once again underestimated the risk in the GOSE 3\u20134 groups, but correctly predicts low risk in GOSE 5\u20138.ConclusionsThe results of our study are in line with previous findings from centers with modern TBI care using the IMPACT model, in that the model provides adequate prediction for mortality and unfavorable outcome. However, it should be noted that the prediction is limited to 6 months outcome and not longer time interval.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00701-021-05040-6", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1412990", 
        "issn": [
          "0001-6268", 
          "0942-0940"
        ], 
        "name": "Acta Neurochirurgica", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "164"
      }
    ], 
    "keywords": [
      "traumatic brain injury", 
      "Uppsala University Hospital", 
      "unfavorable outcome", 
      "brain injury", 
      "lower risk", 
      "Extended Glasgow Outcome Scale", 
      "severe traumatic brain injury", 
      "IMPACT-Core models", 
      "Glasgow Outcome Scale", 
      "moderate-severe traumatic brain injury", 
      "reliable outcome prediction", 
      "ResultsThe patients", 
      "month outcomes", 
      "radiological evaluation", 
      "median age", 
      "TBI care", 
      "TBI patients", 
      "motor scores", 
      "Quality Register", 
      "University Hospital", 
      "Outcome Scale", 
      "TBI pathology", 
      "prognostic calculator", 
      "Swedish cohort", 
      "pupillary reaction", 
      "patients", 
      "BackgroundA major challenge", 
      "healthcare providers", 
      "outcome assessment", 
      "demographic data", 
      "mortality", 
      "outcome prediction", 
      "AUC", 
      "outcomes", 
      "external validation", 
      "prognosis", 
      "risk", 
      "injury", 
      "age", 
      "Register", 
      "group", 
      "previous findings", 
      "hospital", 
      "cohort", 
      "pathology", 
      "long time intervals", 
      "months", 
      "care", 
      "study", 
      "time interval", 
      "scores", 
      "actual outcomes", 
      "males", 
      "impact model", 
      "international missions", 
      "greater variance", 
      "providers", 
      "aim", 
      "calculator", 
      "years", 
      "findings", 
      "great value", 
      "CT modules", 
      "interval", 
      "assessment", 
      "management", 
      "relatives", 
      "evaluation", 
      "center", 
      "major challenge", 
      "Impact Calculator", 
      "heterogeneity", 
      "prediction model", 
      "general underprediction", 
      "data", 
      "model", 
      "lines", 
      "scale", 
      "analysis", 
      "validation", 
      "variance", 
      "results", 
      "challenges", 
      "adequate prediction", 
      "values", 
      "reaction", 
      "prediction", 
      "parameters", 
      "lab module", 
      "module", 
      "underprediction", 
      "core parameters", 
      "mission", 
      "core model"
    ], 
    "name": "Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models", 
    "pagination": "615-624", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1144064681"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00701-021-05040-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34936014"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00701-021-05040-6", 
      "https://app.dimensions.ai/details/publication/pub.1144064681"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_900.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00701-021-05040-6"
  }
]
 

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/s00701-021-05040-6'

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/s00701-021-05040-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00701-021-05040-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00701-021-05040-6'


 

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

252 TRIPLES      22 PREDICATES      133 URIs      120 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00701-021-05040-6 schema:about N095d9039c6be42a28519725ad4ba4f03
2 N294187604406445faea8ec4cf655913e
3 N2cf814e110564508a3c4c09326d43063
4 N4684fe55607b486599b0a23a34bc79d9
5 Nbf96352df7ad4083b46bfcc574aadab3
6 Nc3a52c3628e0443e8508464863ddd8a7
7 Ncf0181680f254c019497a17a79a5842d
8 Ne335856598774443910da89f1598fa17
9 anzsrc-for:11
10 anzsrc-for:1103
11 anzsrc-for:1117
12 schema:author N4c0e0a0229b7479cbd6ea53dbc2a3621
13 schema:citation sg:pub.10.1007/s00701-012-1351-z
14 sg:pub.10.1186/1471-2105-12-77
15 sg:pub.10.1186/1472-6947-6-38
16 sg:pub.10.1186/s13049-014-0068-9
17 schema:datePublished 2021-12-22
18 schema:datePublishedReg 2021-12-22
19 schema:description Abstract BackgroundA major challenge in management of traumatic brain injury (TBI) is to assess the heterogeneity of TBI pathology and outcome prediction. A reliable outcome prediction would have both great value for the healthcare provider, but also for the patients and their relatives. A well-known prediction model is the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) prognostic calculator. The aim of this study was to externally validate all three modules of the IMPACT calculator on TBI patients admitted to Uppsala University hospital (UUH).MethodTBI patients admitted to UUH are continuously enrolled into the Uppsala neurointensive care unit (NICU) TBI Uppsala Clinical Research (UCR) quality register. The register contains both clinical and demographic data, radiological evaluations, and outcome assessments based on the extended Glasgow outcome scale extended (GOSE) performed at 6 months to 1 year. In this study, we included 635 patients with severe TBI admitted during 2008–2020. We used IMPACT core parameters: age, motor score, and pupillary reaction.ResultsThe patients had a median age of 56 (range 18–93), 142 female and 478 male. Using the IMPACT Core model to predict outcome resulted in an AUC of 0.85 for mortality and 0.79 for unfavorable outcome. The CT module did not increase AUC for mortality and slightly decreased AUC for unfavorable outcome to 0.78. However, the lab module increased AUC for mortality to 0.89 but slightly decreased for unfavorable outcome to 0.76. Comparing the predicted risk to actual outcomes, we found that all three models correctly predicted low risk of mortality in the surviving group of GOSE 2–8. However, it produced a greater variance of predicted risk in the GOSE 1 group, denoting general underprediction of risk. Regarding unfavorable outcome, all models once again underestimated the risk in the GOSE 3–4 groups, but correctly predicts low risk in GOSE 5–8.ConclusionsThe results of our study are in line with previous findings from centers with modern TBI care using the IMPACT model, in that the model provides adequate prediction for mortality and unfavorable outcome. However, it should be noted that the prediction is limited to 6 months outcome and not longer time interval.
20 schema:genre article
21 schema:inLanguage en
22 schema:isAccessibleForFree true
23 schema:isPartOf N8bc4d3c005464087aff8a1f774a63890
24 Nbaaadc90aa4c4552b7e3712bd5382a32
25 sg:journal.1412990
26 schema:keywords AUC
27 BackgroundA major challenge
28 CT modules
29 Extended Glasgow Outcome Scale
30 Glasgow Outcome Scale
31 IMPACT-Core models
32 Impact Calculator
33 Outcome Scale
34 Quality Register
35 Register
36 ResultsThe patients
37 Swedish cohort
38 TBI care
39 TBI pathology
40 TBI patients
41 University Hospital
42 Uppsala University Hospital
43 actual outcomes
44 adequate prediction
45 age
46 aim
47 analysis
48 assessment
49 brain injury
50 calculator
51 care
52 center
53 challenges
54 cohort
55 core model
56 core parameters
57 data
58 demographic data
59 evaluation
60 external validation
61 findings
62 general underprediction
63 great value
64 greater variance
65 group
66 healthcare providers
67 heterogeneity
68 hospital
69 impact model
70 injury
71 international missions
72 interval
73 lab module
74 lines
75 long time intervals
76 lower risk
77 major challenge
78 males
79 management
80 median age
81 mission
82 model
83 moderate-severe traumatic brain injury
84 module
85 month outcomes
86 months
87 mortality
88 motor scores
89 outcome assessment
90 outcome prediction
91 outcomes
92 parameters
93 pathology
94 patients
95 prediction
96 prediction model
97 previous findings
98 prognosis
99 prognostic calculator
100 providers
101 pupillary reaction
102 radiological evaluation
103 reaction
104 relatives
105 reliable outcome prediction
106 results
107 risk
108 scale
109 scores
110 severe traumatic brain injury
111 study
112 time interval
113 traumatic brain injury
114 underprediction
115 unfavorable outcome
116 validation
117 values
118 variance
119 years
120 schema:name Prognosis in moderate-severe traumatic brain injury in a Swedish cohort and external validation of the IMPACT models
121 schema:pagination 615-624
122 schema:productId Nefbaee61186e4d5292fe7b4a1df011f8
123 Nf249e833574a404aa1f66c0bb508bc4a
124 Nff3d75fead8d4605b35edcae061a8517
125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1144064681
126 https://doi.org/10.1007/s00701-021-05040-6
127 schema:sdDatePublished 2022-05-20T07:39
128 schema:sdLicense https://scigraph.springernature.com/explorer/license/
129 schema:sdPublisher N899babc24f2149e68a315b4718763f3b
130 schema:url https://doi.org/10.1007/s00701-021-05040-6
131 sgo:license sg:explorer/license/
132 sgo:sdDataset articles
133 rdf:type schema:ScholarlyArticle
134 N095d9039c6be42a28519725ad4ba4f03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Male
136 rdf:type schema:DefinedTerm
137 N294187604406445faea8ec4cf655913e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Cohort Studies
139 rdf:type schema:DefinedTerm
140 N2c6ed3082fb34e2cbdfe2eab53b929b2 rdf:first sg:person.0577740643.39
141 rdf:rest rdf:nil
142 N2cf814e110564508a3c4c09326d43063 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Brain Injuries, Traumatic
144 rdf:type schema:DefinedTerm
145 N3875279e6b044ddab03dc3c7f40a1f82 rdf:first sg:person.01167541762.64
146 rdf:rest N943bb2507a9a413ab8815f20c7cfb6aa
147 N4684fe55607b486599b0a23a34bc79d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Sweden
149 rdf:type schema:DefinedTerm
150 N46f95d68b2f542ae94eb89993fc31b23 rdf:first sg:person.014037572223.34
151 rdf:rest N52367b35ccef4bb78872fa169782894d
152 N4c0e0a0229b7479cbd6ea53dbc2a3621 rdf:first sg:person.0656617411.58
153 rdf:rest N46f95d68b2f542ae94eb89993fc31b23
154 N52367b35ccef4bb78872fa169782894d rdf:first sg:person.0731651501.05
155 rdf:rest N75ebe2429ff740068f8a20f14473c3ac
156 N75ebe2429ff740068f8a20f14473c3ac rdf:first sg:person.0603142106.44
157 rdf:rest N3875279e6b044ddab03dc3c7f40a1f82
158 N899babc24f2149e68a315b4718763f3b schema:name Springer Nature - SN SciGraph project
159 rdf:type schema:Organization
160 N8bc4d3c005464087aff8a1f774a63890 schema:issueNumber 3
161 rdf:type schema:PublicationIssue
162 N943bb2507a9a413ab8815f20c7cfb6aa rdf:first sg:person.01132726676.77
163 rdf:rest N2c6ed3082fb34e2cbdfe2eab53b929b2
164 Nbaaadc90aa4c4552b7e3712bd5382a32 schema:volumeNumber 164
165 rdf:type schema:PublicationVolume
166 Nbf96352df7ad4083b46bfcc574aadab3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Prognosis
168 rdf:type schema:DefinedTerm
169 Nc3a52c3628e0443e8508464863ddd8a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Humans
171 rdf:type schema:DefinedTerm
172 Ncf0181680f254c019497a17a79a5842d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Female
174 rdf:type schema:DefinedTerm
175 Ne335856598774443910da89f1598fa17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Glasgow Outcome Scale
177 rdf:type schema:DefinedTerm
178 Nefbaee61186e4d5292fe7b4a1df011f8 schema:name pubmed_id
179 schema:value 34936014
180 rdf:type schema:PropertyValue
181 Nf249e833574a404aa1f66c0bb508bc4a schema:name doi
182 schema:value 10.1007/s00701-021-05040-6
183 rdf:type schema:PropertyValue
184 Nff3d75fead8d4605b35edcae061a8517 schema:name dimensions_id
185 schema:value pub.1144064681
186 rdf:type schema:PropertyValue
187 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
188 schema:name Medical and Health Sciences
189 rdf:type schema:DefinedTerm
190 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
191 schema:name Clinical Sciences
192 rdf:type schema:DefinedTerm
193 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
194 schema:name Public Health and Health Services
195 rdf:type schema:DefinedTerm
196 sg:journal.1412990 schema:issn 0001-6268
197 0942-0940
198 schema:name Acta Neurochirurgica
199 schema:publisher Springer Nature
200 rdf:type schema:Periodical
201 sg:person.01132726676.77 schema:affiliation grid-institutes:grid.8993.b
202 schema:familyName Lewén
203 schema:givenName Anders
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132726676.77
205 rdf:type schema:Person
206 sg:person.01167541762.64 schema:affiliation grid-institutes:grid.8993.b
207 schema:familyName Lenell
208 schema:givenName Samuel
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167541762.64
210 rdf:type schema:Person
211 sg:person.014037572223.34 schema:affiliation grid-institutes:grid.8993.b
212 schema:familyName Gustafsson
213 schema:givenName David
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014037572223.34
215 rdf:type schema:Person
216 sg:person.0577740643.39 schema:affiliation grid-institutes:grid.8993.b
217 schema:familyName Enblad
218 schema:givenName Per
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577740643.39
220 rdf:type schema:Person
221 sg:person.0603142106.44 schema:affiliation grid-institutes:grid.8993.b
222 schema:familyName Howells
223 schema:givenName Timothy
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603142106.44
225 rdf:type schema:Person
226 sg:person.0656617411.58 schema:affiliation grid-institutes:grid.8993.b
227 schema:familyName Rostami
228 schema:givenName Elham
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656617411.58
230 rdf:type schema:Person
231 sg:person.0731651501.05 schema:affiliation grid-institutes:grid.8993.b
232 schema:familyName Hånell
233 schema:givenName Anders
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731651501.05
235 rdf:type schema:Person
236 sg:pub.10.1007/s00701-012-1351-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1039694133
237 https://doi.org/10.1007/s00701-012-1351-z
238 rdf:type schema:CreativeWork
239 sg:pub.10.1186/1471-2105-12-77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014582441
240 https://doi.org/10.1186/1471-2105-12-77
241 rdf:type schema:CreativeWork
242 sg:pub.10.1186/1472-6947-6-38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019156164
243 https://doi.org/10.1186/1472-6947-6-38
244 rdf:type schema:CreativeWork
245 sg:pub.10.1186/s13049-014-0068-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022288981
246 https://doi.org/10.1186/s13049-014-0068-9
247 rdf:type schema:CreativeWork
248 grid-institutes:grid.8993.b schema:alternateName Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden
249 Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
250 schema:name Department of Neuroscience, Neurosurgery, Uppsala University, 752 37, Uppsala, Sweden
251 Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
252 rdf:type schema:Organization
 




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


...