Nutritional papers in ICU patients: what lies between the lines? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-12-21

AUTHORS

Jean-Charles Preiser, René Chioléro, Jan Wernerman

ABSTRACT

The abundance of literature related to nutritional support reflects its recently recognised role in preventing metabolic complications and gut dysfunction during critical illness. However, some published studies lack relevance to critically ill patients, as a result of the selection of subjects and outcome variables, or flaws in the study design, as well as in the type, composition, timing, route of administration and amount of nutritional support given. This review will highlight these confounding factors by describing two imaginary (but typical) clinical trials and by analysing some studies published. The point at issue is that basic quality requirements, such as the formulation of a prospective hypothesis and the delineation of the effects of the reference treatment, are often lacking in many studies published. Data analysis was often found to be biased by the absence of statistical power calculation and intention-to-treat analysis. Globally, studies designed to assess the effects of nutritional support on the outcome of critically ill patients, rarely fulfil basic quality requirements and should therefore be interpreted cautiously. We suggest simple strategies or study design that will allow important questions to be answered by future clinical trials. More... »

PAGES

156-166

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00134-002-1581-2

DOI

http://dx.doi.org/10.1007/s00134-002-1581-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028388479

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12594580


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": "Clinical Trials as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cost-Benefit Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Critical Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Critical Illness", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Data Interpretation, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Energy Metabolism", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Guidelines as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hospital Mortality", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Information Storage and Retrieval", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Length of Stay", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "MEDLINE", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nutritional Requirements", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nutritional Support", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Publishing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Research Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Safety", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Selection Bias", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Erasme University Hospital, Brussels, Belgium", 
          "id": "http://www.grid.ac/institutes/grid.412157.4", 
          "name": [
            "Department of Intensive Care, RHMS, 80 chauss\u00e9e de Saint-Amand, 7500, Tournai, Belgium", 
            "Erasme University Hospital, Brussels, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Preiser", 
        "givenName": "Jean-Charles", 
        "id": "sg:person.0753252550.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753252550.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Soins Intensifs chirurgicaux, CHUV, 1011, Lausanne, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.414250.6", 
          "name": [
            "Soins Intensifs chirurgicaux, CHUV, 1011, Lausanne, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chiol\u00e9ro", 
        "givenName": "Ren\u00e9", 
        "id": "sg:person.01121362247.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121362247.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Anesthesiology and Intensive Care, Huddinge University Hospital, Karolinska Institute, 141 86, Huddinge, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.24381.3c", 
          "name": [
            "Department of Anesthesiology and Intensive Care, Huddinge University Hospital, Karolinska Institute, 141 86, Huddinge, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wernerman", 
        "givenName": "Jan", 
        "id": "sg:person.0614317527.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614317527.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s001340051278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022879623", 
          "https://doi.org/10.1007/s001340051278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-57119-0_5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040226617", 
          "https://doi.org/10.1007/978-3-642-57119-0_5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-57119-0_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052095415", 
          "https://doi.org/10.1007/978-3-642-57119-0_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001340050809", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002364863", 
          "https://doi.org/10.1007/s001340050809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01658984", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008938267", 
          "https://doi.org/10.1007/bf01658984"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2002-12-21", 
    "datePublishedReg": "2002-12-21", 
    "description": "The abundance of literature related to nutritional support reflects its recently recognised role in preventing metabolic complications and gut dysfunction during critical illness. However, some published studies lack relevance to critically ill patients, as a result of the selection of subjects and outcome variables, or flaws in the study design, as well as in the type, composition, timing, route of administration and amount of nutritional support given. This review will highlight these confounding factors by describing two imaginary (but typical) clinical trials and by analysing some studies published. The point at issue is that basic quality requirements, such as the formulation of a prospective hypothesis and the delineation of the effects of the reference treatment, are often lacking in many studies published. Data analysis was often found to be biased by the absence of statistical power calculation and intention-to-treat analysis. Globally, studies designed to assess the effects of nutritional support on the outcome of critically ill patients, rarely fulfil basic quality requirements and should therefore be interpreted cautiously. We suggest simple strategies or study design that will allow important questions to be answered by future clinical trials.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00134-002-1581-2", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1313639", 
        "issn": [
          "0342-4642", 
          "1432-1238"
        ], 
        "name": "Intensive Care Medicine", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "keywords": [
      "nutritional support", 
      "ill patients", 
      "clinical trials", 
      "study design", 
      "future clinical trials", 
      "route of administration", 
      "metabolic complications", 
      "gut dysfunction", 
      "critical illness", 
      "treat analysis", 
      "ICU patients", 
      "selection of subjects", 
      "prospective hypothesis", 
      "patients", 
      "outcome variables", 
      "reference treatment", 
      "statistical power calculations", 
      "trials", 
      "abundance of literature", 
      "power calculation", 
      "complications", 
      "dysfunction", 
      "illness", 
      "study", 
      "administration", 
      "outcomes", 
      "treatment", 
      "subjects", 
      "effect", 
      "review", 
      "basic quality requirements", 
      "support", 
      "data analysis", 
      "factors", 
      "absence", 
      "role", 
      "important questions", 
      "relevance", 
      "timing", 
      "delineation", 
      "analysis", 
      "hypothesis", 
      "literature", 
      "strategies", 
      "variables", 
      "lines", 
      "types", 
      "intention", 
      "results", 
      "route", 
      "questions", 
      "amount", 
      "selection", 
      "design", 
      "point", 
      "requirements", 
      "simple strategy", 
      "issues", 
      "formulation", 
      "abundance", 
      "composition", 
      "flaws", 
      "quality requirements", 
      "paper", 
      "calculations"
    ], 
    "name": "Nutritional papers in ICU patients: what lies between the lines?", 
    "pagination": "156-166", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1028388479"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00134-002-1581-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12594580"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00134-002-1581-2", 
      "https://app.dimensions.ai/details/publication/pub.1028388479"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T15:49", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_360.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00134-002-1581-2"
  }
]
 

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/s00134-002-1581-2'

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/s00134-002-1581-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00134-002-1581-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00134-002-1581-2'


 

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

247 TRIPLES      21 PREDICATES      115 URIs      102 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00134-002-1581-2 schema:about N086ade92996d4988b9aed16e50211778
2 N1e63a5a4f21e4b76b8fbdc02f6d2c178
3 N2180b373aba248fe851ba660690af7d3
4 N244bedfa508943619d4db58531f1e796
5 N368c335fd7354e92bb93bb084bd9bc66
6 N47f0a7388adf470aa9740a9211d43301
7 N5e7620f001204504af0a08279e19e79e
8 N7dadac12021c47f0b602e28e0d031360
9 N8bc0db31e0584e3583c14ea3f918ef87
10 N8e1746ea82d445d7a17a9c139fef1be1
11 Na427ae6f38c141039f94b01fda71a2fc
12 Naf05aa9fa9be4c0e9b5884513a9091a2
13 Nb9d8d5caeda0467c86cc9c164e9730dd
14 Nba4a442737a64a9399d5b23bf5f60d6a
15 Nc6c2b155f483403598c8ba34f465625a
16 Ncb376c12a4904b73abd9456498dcb718
17 Ndd40714410d84b1c891e8a51454303ef
18 Ne1e01b7a198845748d9f00cdec9fdb70
19 Nf0c62ea9a3b449fcb628a7e157abd1cb
20 Nfe1d49952e1043ee9b395612aecc7dcb
21 anzsrc-for:11
22 anzsrc-for:1103
23 schema:author N7433a187cb6b423ca0ea5b882647b5cc
24 schema:citation sg:pub.10.1007/978-3-642-57119-0_10
25 sg:pub.10.1007/978-3-642-57119-0_5
26 sg:pub.10.1007/bf01658984
27 sg:pub.10.1007/s001340050809
28 sg:pub.10.1007/s001340051278
29 schema:datePublished 2002-12-21
30 schema:datePublishedReg 2002-12-21
31 schema:description The abundance of literature related to nutritional support reflects its recently recognised role in preventing metabolic complications and gut dysfunction during critical illness. However, some published studies lack relevance to critically ill patients, as a result of the selection of subjects and outcome variables, or flaws in the study design, as well as in the type, composition, timing, route of administration and amount of nutritional support given. This review will highlight these confounding factors by describing two imaginary (but typical) clinical trials and by analysing some studies published. The point at issue is that basic quality requirements, such as the formulation of a prospective hypothesis and the delineation of the effects of the reference treatment, are often lacking in many studies published. Data analysis was often found to be biased by the absence of statistical power calculation and intention-to-treat analysis. Globally, studies designed to assess the effects of nutritional support on the outcome of critically ill patients, rarely fulfil basic quality requirements and should therefore be interpreted cautiously. We suggest simple strategies or study design that will allow important questions to be answered by future clinical trials.
32 schema:genre article
33 schema:isAccessibleForFree false
34 schema:isPartOf N723f86000d664fbab0e2780bd4a9dcd8
35 N93b3d7c714954bafac59f78491513144
36 sg:journal.1313639
37 schema:keywords ICU patients
38 absence
39 abundance
40 abundance of literature
41 administration
42 amount
43 analysis
44 basic quality requirements
45 calculations
46 clinical trials
47 complications
48 composition
49 critical illness
50 data analysis
51 delineation
52 design
53 dysfunction
54 effect
55 factors
56 flaws
57 formulation
58 future clinical trials
59 gut dysfunction
60 hypothesis
61 ill patients
62 illness
63 important questions
64 intention
65 issues
66 lines
67 literature
68 metabolic complications
69 nutritional support
70 outcome variables
71 outcomes
72 paper
73 patients
74 point
75 power calculation
76 prospective hypothesis
77 quality requirements
78 questions
79 reference treatment
80 relevance
81 requirements
82 results
83 review
84 role
85 route
86 route of administration
87 selection
88 selection of subjects
89 simple strategy
90 statistical power calculations
91 strategies
92 study
93 study design
94 subjects
95 support
96 timing
97 treat analysis
98 treatment
99 trials
100 types
101 variables
102 schema:name Nutritional papers in ICU patients: what lies between the lines?
103 schema:pagination 156-166
104 schema:productId N278aacc7db2b4656946d2c35448d3273
105 N4ba3ce7198964e249ff5fc46fa72a95c
106 Nbfad0a719ace4c93ad0e93720ce1a958
107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028388479
108 https://doi.org/10.1007/s00134-002-1581-2
109 schema:sdDatePublished 2022-09-02T15:49
110 schema:sdLicense https://scigraph.springernature.com/explorer/license/
111 schema:sdPublisher N0e9c37e199a1408ea8b43f7e881201a3
112 schema:url https://doi.org/10.1007/s00134-002-1581-2
113 sgo:license sg:explorer/license/
114 sgo:sdDataset articles
115 rdf:type schema:ScholarlyArticle
116 N086ade92996d4988b9aed16e50211778 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Safety
118 rdf:type schema:DefinedTerm
119 N0e9c37e199a1408ea8b43f7e881201a3 schema:name Springer Nature - SN SciGraph project
120 rdf:type schema:Organization
121 N1e63a5a4f21e4b76b8fbdc02f6d2c178 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Cost-Benefit Analysis
123 rdf:type schema:DefinedTerm
124 N2180b373aba248fe851ba660690af7d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Research Design
126 rdf:type schema:DefinedTerm
127 N244bedfa508943619d4db58531f1e796 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Guidelines as Topic
129 rdf:type schema:DefinedTerm
130 N278aacc7db2b4656946d2c35448d3273 schema:name dimensions_id
131 schema:value pub.1028388479
132 rdf:type schema:PropertyValue
133 N368c335fd7354e92bb93bb084bd9bc66 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Treatment Outcome
135 rdf:type schema:DefinedTerm
136 N47f0a7388adf470aa9740a9211d43301 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Length of Stay
138 rdf:type schema:DefinedTerm
139 N4ba3ce7198964e249ff5fc46fa72a95c schema:name pubmed_id
140 schema:value 12594580
141 rdf:type schema:PropertyValue
142 N5e7620f001204504af0a08279e19e79e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Critical Care
144 rdf:type schema:DefinedTerm
145 N71c7d9d7eaf3475a9821369f3fbf17b3 rdf:first sg:person.0614317527.75
146 rdf:rest rdf:nil
147 N723f86000d664fbab0e2780bd4a9dcd8 schema:issueNumber 2
148 rdf:type schema:PublicationIssue
149 N7433a187cb6b423ca0ea5b882647b5cc rdf:first sg:person.0753252550.92
150 rdf:rest N9bd48bcc0f8b4865bdabd35f43f5c6ac
151 N7dadac12021c47f0b602e28e0d031360 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Data Interpretation, Statistical
153 rdf:type schema:DefinedTerm
154 N8bc0db31e0584e3583c14ea3f918ef87 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Information Storage and Retrieval
156 rdf:type schema:DefinedTerm
157 N8e1746ea82d445d7a17a9c139fef1be1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Time Factors
159 rdf:type schema:DefinedTerm
160 N93b3d7c714954bafac59f78491513144 schema:volumeNumber 29
161 rdf:type schema:PublicationVolume
162 N9bd48bcc0f8b4865bdabd35f43f5c6ac rdf:first sg:person.01121362247.08
163 rdf:rest N71c7d9d7eaf3475a9821369f3fbf17b3
164 Na427ae6f38c141039f94b01fda71a2fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Nutritional Support
166 rdf:type schema:DefinedTerm
167 Naf05aa9fa9be4c0e9b5884513a9091a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Publishing
169 rdf:type schema:DefinedTerm
170 Nb9d8d5caeda0467c86cc9c164e9730dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Nutritional Requirements
172 rdf:type schema:DefinedTerm
173 Nba4a442737a64a9399d5b23bf5f60d6a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Energy Metabolism
175 rdf:type schema:DefinedTerm
176 Nbfad0a719ace4c93ad0e93720ce1a958 schema:name doi
177 schema:value 10.1007/s00134-002-1581-2
178 rdf:type schema:PropertyValue
179 Nc6c2b155f483403598c8ba34f465625a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Critical Illness
181 rdf:type schema:DefinedTerm
182 Ncb376c12a4904b73abd9456498dcb718 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Hospital Mortality
184 rdf:type schema:DefinedTerm
185 Ndd40714410d84b1c891e8a51454303ef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Selection Bias
187 rdf:type schema:DefinedTerm
188 Ne1e01b7a198845748d9f00cdec9fdb70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Clinical Trials as Topic
190 rdf:type schema:DefinedTerm
191 Nf0c62ea9a3b449fcb628a7e157abd1cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name MEDLINE
193 rdf:type schema:DefinedTerm
194 Nfe1d49952e1043ee9b395612aecc7dcb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Humans
196 rdf:type schema:DefinedTerm
197 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
198 schema:name Medical and Health Sciences
199 rdf:type schema:DefinedTerm
200 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
201 schema:name Clinical Sciences
202 rdf:type schema:DefinedTerm
203 sg:journal.1313639 schema:issn 0342-4642
204 1432-1238
205 schema:name Intensive Care Medicine
206 schema:publisher Springer Nature
207 rdf:type schema:Periodical
208 sg:person.01121362247.08 schema:affiliation grid-institutes:grid.414250.6
209 schema:familyName Chioléro
210 schema:givenName René
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121362247.08
212 rdf:type schema:Person
213 sg:person.0614317527.75 schema:affiliation grid-institutes:grid.24381.3c
214 schema:familyName Wernerman
215 schema:givenName Jan
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614317527.75
217 rdf:type schema:Person
218 sg:person.0753252550.92 schema:affiliation grid-institutes:grid.412157.4
219 schema:familyName Preiser
220 schema:givenName Jean-Charles
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753252550.92
222 rdf:type schema:Person
223 sg:pub.10.1007/978-3-642-57119-0_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052095415
224 https://doi.org/10.1007/978-3-642-57119-0_10
225 rdf:type schema:CreativeWork
226 sg:pub.10.1007/978-3-642-57119-0_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040226617
227 https://doi.org/10.1007/978-3-642-57119-0_5
228 rdf:type schema:CreativeWork
229 sg:pub.10.1007/bf01658984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008938267
230 https://doi.org/10.1007/bf01658984
231 rdf:type schema:CreativeWork
232 sg:pub.10.1007/s001340050809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002364863
233 https://doi.org/10.1007/s001340050809
234 rdf:type schema:CreativeWork
235 sg:pub.10.1007/s001340051278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022879623
236 https://doi.org/10.1007/s001340051278
237 rdf:type schema:CreativeWork
238 grid-institutes:grid.24381.3c schema:alternateName Department of Anesthesiology and Intensive Care, Huddinge University Hospital, Karolinska Institute, 141 86, Huddinge, Sweden
239 schema:name Department of Anesthesiology and Intensive Care, Huddinge University Hospital, Karolinska Institute, 141 86, Huddinge, Sweden
240 rdf:type schema:Organization
241 grid-institutes:grid.412157.4 schema:alternateName Erasme University Hospital, Brussels, Belgium
242 schema:name Department of Intensive Care, RHMS, 80 chaussée de Saint-Amand, 7500, Tournai, Belgium
243 Erasme University Hospital, Brussels, Belgium
244 rdf:type schema:Organization
245 grid-institutes:grid.414250.6 schema:alternateName Soins Intensifs chirurgicaux, CHUV, 1011, Lausanne, Switzerland
246 schema:name Soins Intensifs chirurgicaux, CHUV, 1011, Lausanne, Switzerland
247 rdf:type schema:Organization
 




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


...