Optimization of the intravenous glucose tolerance test in T2DM patients using optimal experimental design View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-06

AUTHORS

Hanna E. Silber, Joakim Nyberg, Andrew C. Hooker, Mats O. Karlsson

ABSTRACT

Intravenous glucose tolerance test (IVGTT) provocations are informative, but complex and laborious, for studying the glucose-insulin system. The objective of this study was to evaluate, through optimal design methodology, the possibilities of more informative and/or less laborious study design of the insulin modified IVGTT in type 2 diabetic patients. A previously developed model for glucose and insulin regulation was implemented in the optimal design software PopED 2.0. The following aspects of the study design of the insulin modified IVGTT were evaluated; (1) glucose dose, (2) insulin infusion, (3) combination of (1) and (2), (4) sampling times, (5) exclusion of labeled glucose. Constraints were incorporated to avoid prolonged hyper- and/or hypoglycemia and a reduced design was used to decrease run times. Design efficiency was calculated as a measure of the improvement with an optimal design compared to the basic design. The results showed that the design of the insulin modified IVGTT could be substantially improved by the use of an optimized design compared to the standard design and that it was possible to use a reduced number of samples. Optimization of sample times gave the largest improvement followed by insulin dose. The results further showed that it was possible to reduce the total sample time with only a minor loss in efficiency. Simulations confirmed the predictions from PopED. The predicted uncertainty of parameter estimates (CV) was low in all tested cases, despite the reduction in the number of samples/subject. The best design had a predicted average CV of parameter estimates of 19.5%. We conclude that improvement can be made to the design of the insulin modified IVGTT and that the most important design factor was the placement of sample times followed by the use of an optimal insulin dose. This paper illustrates how complex provocation experiments can be improved by sequential modeling and optimal design. More... »

PAGES

281

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10928-009-9123-y

DOI

http://dx.doi.org/10.1007/s10928-009-9123-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040901037

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19554431


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": "Blood Glucose", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus, Type 2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glucose Tolerance Test", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Research Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Uppsala University", 
          "id": "https://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Pharmaceutical Biosciences, Uppsala University, Box 591, 751 24, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Silber", 
        "givenName": "Hanna E.", 
        "id": "sg:person.01367004173.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367004173.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Uppsala University", 
          "id": "https://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Pharmaceutical Biosciences, Uppsala University, Box 591, 751 24, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nyberg", 
        "givenName": "Joakim", 
        "id": "sg:person.0751421160.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751421160.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Uppsala University", 
          "id": "https://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Pharmaceutical Biosciences, Uppsala University, Box 591, 751 24, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hooker", 
        "givenName": "Andrew C.", 
        "id": "sg:person.0752035614.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752035614.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Uppsala University", 
          "id": "https://www.grid.ac/institutes/grid.8993.b", 
          "name": [
            "Department of Pharmaceutical Biosciences, Uppsala University, Box 591, 751 24, Uppsala, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karlsson", 
        "givenName": "Mats O.", 
        "id": "sg:person.013476764432.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013476764432.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0025-5564(85)90068-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010060324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1020703007613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013133852", 
          "https://doi.org/10.1023/a:1020703007613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0928-0987(03)00073-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016704894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0928-0987(03)00073-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016704894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-2607(03)00073-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019465135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-2607(03)00073-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019465135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10928-009-9114-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020064014", 
          "https://doi.org/10.1007/s10928-009-9114-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10928-009-9114-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020064014", 
          "https://doi.org/10.1007/s10928-009-9114-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0091270007304457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028377625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-2607(00)00117-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029153453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10928-008-9088-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029392875", 
          "https://doi.org/10.1007/s10928-008-9088-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.1.5291.1507", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031336039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1081/bip-120019267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033797670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10928-005-2102-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043421757", 
          "https://doi.org/10.1007/s10928-005-2102-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10928-005-2102-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043421757", 
          "https://doi.org/10.1007/s10928-005-2102-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/00003088-200847070-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048560528", 
          "https://doi.org/10.2165/00003088-200847070-00001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10543400701514007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051290646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/10.88447", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061085835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem-71-6-1508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064316545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.35.3.362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070735000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.35.3.362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070740829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpendo.2001.280.1.e179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074739597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpendo.1987.253.6.e595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079442463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpendo.1979.236.6.e667", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080342534"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-06", 
    "datePublishedReg": "2009-06-01", 
    "description": "Intravenous glucose tolerance test (IVGTT) provocations are informative, but complex and laborious, for studying the glucose-insulin system. The objective of this study was to evaluate, through optimal design methodology, the possibilities of more informative and/or less laborious study design of the insulin modified IVGTT in type 2 diabetic patients. A previously developed model for glucose and insulin regulation was implemented in the optimal design software PopED 2.0. The following aspects of the study design of the insulin modified IVGTT were evaluated; (1) glucose dose, (2) insulin infusion, (3) combination of (1) and (2), (4) sampling times, (5) exclusion of labeled glucose. Constraints were incorporated to avoid prolonged hyper- and/or hypoglycemia and a reduced design was used to decrease run times. Design efficiency was calculated as a measure of the improvement with an optimal design compared to the basic design. The results showed that the design of the insulin modified IVGTT could be substantially improved by the use of an optimized design compared to the standard design and that it was possible to use a reduced number of samples. Optimization of sample times gave the largest improvement followed by insulin dose. The results further showed that it was possible to reduce the total sample time with only a minor loss in efficiency. Simulations confirmed the predictions from PopED. The predicted uncertainty of parameter estimates (CV) was low in all tested cases, despite the reduction in the number of samples/subject. The best design had a predicted average CV of parameter estimates of 19.5%. We conclude that improvement can be made to the design of the insulin modified IVGTT and that the most important design factor was the placement of sample times followed by the use of an optimal insulin dose. This paper illustrates how complex provocation experiments can be improved by sequential modeling and optimal design.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10928-009-9123-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1016394", 
        "issn": [
          "1567-567X", 
          "2168-5789"
        ], 
        "name": "Journal of Pharmacokinetics and Pharmacodynamics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "36"
      }
    ], 
    "name": "Optimization of the intravenous glucose tolerance test in T2DM patients using optimal experimental design", 
    "pagination": "281", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c2d678d63fa5c1363215ce6bb4eaa80109fc424dcab20ed29f0b8f2a43207f64"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19554431"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101096520"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10928-009-9123-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040901037"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10928-009-9123-y", 
      "https://app.dimensions.ai/details/publication/pub.1040901037"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:26", 
    "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/v90/0000000345_0000000345/records_64115_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10928-009-9123-y"
  }
]
 

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/s10928-009-9123-y'

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/s10928-009-9123-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10928-009-9123-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10928-009-9123-y'


 

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

179 TRIPLES      21 PREDICATES      55 URIs      27 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10928-009-9123-y schema:about N36e7e6b123f34661be27a93710d96f0e
2 N6c2fb09a07204feb9df500a00ff2ec3d
3 Nba9785bc3d0c48b197ea7173c64675d4
4 Nbc491a7239924c4e9bf157f90aec986a
5 Nbfa0d1bc40ba4b1cb0e8d050e3389f1e
6 Nf9487439487644b28fd847a8f0fec5cd
7 anzsrc-for:11
8 anzsrc-for:1103
9 schema:author N467779697d9a4bd6addb8c9c2e4308dd
10 schema:citation sg:pub.10.1007/s10928-005-2102-z
11 sg:pub.10.1007/s10928-008-9088-2
12 sg:pub.10.1007/s10928-009-9114-z
13 sg:pub.10.1023/a:1020703007613
14 sg:pub.10.2165/00003088-200847070-00001
15 https://doi.org/10.1016/0025-5564(85)90068-9
16 https://doi.org/10.1016/s0169-2607(00)00117-6
17 https://doi.org/10.1016/s0169-2607(03)00073-7
18 https://doi.org/10.1016/s0928-0987(03)00073-3
19 https://doi.org/10.1080/10543400701514007
20 https://doi.org/10.1081/bip-120019267
21 https://doi.org/10.1109/10.88447
22 https://doi.org/10.1136/bmj.1.5291.1507
23 https://doi.org/10.1152/ajpendo.1979.236.6.e667
24 https://doi.org/10.1152/ajpendo.1987.253.6.e595
25 https://doi.org/10.1152/ajpendo.2001.280.1.e179
26 https://doi.org/10.1177/0091270007304457
27 https://doi.org/10.1210/jcem-71-6-1508
28 https://doi.org/10.2337/diab.35.3.362
29 https://doi.org/10.2337/diabetes.35.3.362
30 schema:datePublished 2009-06
31 schema:datePublishedReg 2009-06-01
32 schema:description Intravenous glucose tolerance test (IVGTT) provocations are informative, but complex and laborious, for studying the glucose-insulin system. The objective of this study was to evaluate, through optimal design methodology, the possibilities of more informative and/or less laborious study design of the insulin modified IVGTT in type 2 diabetic patients. A previously developed model for glucose and insulin regulation was implemented in the optimal design software PopED 2.0. The following aspects of the study design of the insulin modified IVGTT were evaluated; (1) glucose dose, (2) insulin infusion, (3) combination of (1) and (2), (4) sampling times, (5) exclusion of labeled glucose. Constraints were incorporated to avoid prolonged hyper- and/or hypoglycemia and a reduced design was used to decrease run times. Design efficiency was calculated as a measure of the improvement with an optimal design compared to the basic design. The results showed that the design of the insulin modified IVGTT could be substantially improved by the use of an optimized design compared to the standard design and that it was possible to use a reduced number of samples. Optimization of sample times gave the largest improvement followed by insulin dose. The results further showed that it was possible to reduce the total sample time with only a minor loss in efficiency. Simulations confirmed the predictions from PopED. The predicted uncertainty of parameter estimates (CV) was low in all tested cases, despite the reduction in the number of samples/subject. The best design had a predicted average CV of parameter estimates of 19.5%. We conclude that improvement can be made to the design of the insulin modified IVGTT and that the most important design factor was the placement of sample times followed by the use of an optimal insulin dose. This paper illustrates how complex provocation experiments can be improved by sequential modeling and optimal design.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf N915455530aef4cb0802967070aa6fe8c
37 Ne019a1ec72074fd5bacb2f505b865fec
38 sg:journal.1016394
39 schema:name Optimization of the intravenous glucose tolerance test in T2DM patients using optimal experimental design
40 schema:pagination 281
41 schema:productId N05378c24ac5c48ce8e155ad0ef5d4d29
42 N2d05463e546f4176a6f479befb59fe79
43 N49af078db5eb4155aec56b3500b6bdaa
44 N4d10776bb3e84f89aaa511b6de154bd1
45 Nf4b2c4fc4f154f10ba17fc1682f7d323
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040901037
47 https://doi.org/10.1007/s10928-009-9123-y
48 schema:sdDatePublished 2019-04-11T09:26
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N451974f9b114418185503cf697cdeb5e
51 schema:url http://link.springer.com/10.1007%2Fs10928-009-9123-y
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N05378c24ac5c48ce8e155ad0ef5d4d29 schema:name nlm_unique_id
56 schema:value 101096520
57 rdf:type schema:PropertyValue
58 N11bb7e8313c34fe2baa8005afd9b391b rdf:first sg:person.0752035614.38
59 rdf:rest Ne27e4b5b4e714ef596d709899cc6ba1e
60 N2d05463e546f4176a6f479befb59fe79 schema:name readcube_id
61 schema:value c2d678d63fa5c1363215ce6bb4eaa80109fc424dcab20ed29f0b8f2a43207f64
62 rdf:type schema:PropertyValue
63 N36e7e6b123f34661be27a93710d96f0e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Blood Glucose
65 rdf:type schema:DefinedTerm
66 N451974f9b114418185503cf697cdeb5e schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 N467779697d9a4bd6addb8c9c2e4308dd rdf:first sg:person.01367004173.94
69 rdf:rest N561a6c2b7f924177aa0caedbf6d8072a
70 N49af078db5eb4155aec56b3500b6bdaa schema:name pubmed_id
71 schema:value 19554431
72 rdf:type schema:PropertyValue
73 N4d10776bb3e84f89aaa511b6de154bd1 schema:name doi
74 schema:value 10.1007/s10928-009-9123-y
75 rdf:type schema:PropertyValue
76 N561a6c2b7f924177aa0caedbf6d8072a rdf:first sg:person.0751421160.21
77 rdf:rest N11bb7e8313c34fe2baa8005afd9b391b
78 N6c2fb09a07204feb9df500a00ff2ec3d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Software
80 rdf:type schema:DefinedTerm
81 N915455530aef4cb0802967070aa6fe8c schema:issueNumber 3
82 rdf:type schema:PublicationIssue
83 Nba9785bc3d0c48b197ea7173c64675d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Humans
85 rdf:type schema:DefinedTerm
86 Nbc491a7239924c4e9bf157f90aec986a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Research Design
88 rdf:type schema:DefinedTerm
89 Nbfa0d1bc40ba4b1cb0e8d050e3389f1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Diabetes Mellitus, Type 2
91 rdf:type schema:DefinedTerm
92 Ne019a1ec72074fd5bacb2f505b865fec schema:volumeNumber 36
93 rdf:type schema:PublicationVolume
94 Ne27e4b5b4e714ef596d709899cc6ba1e rdf:first sg:person.013476764432.99
95 rdf:rest rdf:nil
96 Nf4b2c4fc4f154f10ba17fc1682f7d323 schema:name dimensions_id
97 schema:value pub.1040901037
98 rdf:type schema:PropertyValue
99 Nf9487439487644b28fd847a8f0fec5cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Glucose Tolerance Test
101 rdf:type schema:DefinedTerm
102 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
103 schema:name Medical and Health Sciences
104 rdf:type schema:DefinedTerm
105 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
106 schema:name Clinical Sciences
107 rdf:type schema:DefinedTerm
108 sg:journal.1016394 schema:issn 1567-567X
109 2168-5789
110 schema:name Journal of Pharmacokinetics and Pharmacodynamics
111 rdf:type schema:Periodical
112 sg:person.013476764432.99 schema:affiliation https://www.grid.ac/institutes/grid.8993.b
113 schema:familyName Karlsson
114 schema:givenName Mats O.
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013476764432.99
116 rdf:type schema:Person
117 sg:person.01367004173.94 schema:affiliation https://www.grid.ac/institutes/grid.8993.b
118 schema:familyName Silber
119 schema:givenName Hanna E.
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367004173.94
121 rdf:type schema:Person
122 sg:person.0751421160.21 schema:affiliation https://www.grid.ac/institutes/grid.8993.b
123 schema:familyName Nyberg
124 schema:givenName Joakim
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751421160.21
126 rdf:type schema:Person
127 sg:person.0752035614.38 schema:affiliation https://www.grid.ac/institutes/grid.8993.b
128 schema:familyName Hooker
129 schema:givenName Andrew C.
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752035614.38
131 rdf:type schema:Person
132 sg:pub.10.1007/s10928-005-2102-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1043421757
133 https://doi.org/10.1007/s10928-005-2102-z
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s10928-008-9088-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029392875
136 https://doi.org/10.1007/s10928-008-9088-2
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s10928-009-9114-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1020064014
139 https://doi.org/10.1007/s10928-009-9114-z
140 rdf:type schema:CreativeWork
141 sg:pub.10.1023/a:1020703007613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013133852
142 https://doi.org/10.1023/a:1020703007613
143 rdf:type schema:CreativeWork
144 sg:pub.10.2165/00003088-200847070-00001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048560528
145 https://doi.org/10.2165/00003088-200847070-00001
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/0025-5564(85)90068-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010060324
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/s0169-2607(00)00117-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029153453
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/s0169-2607(03)00073-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019465135
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/s0928-0987(03)00073-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016704894
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1080/10543400701514007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051290646
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1081/bip-120019267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033797670
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1109/10.88447 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061085835
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1136/bmj.1.5291.1507 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031336039
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1152/ajpendo.1979.236.6.e667 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080342534
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1152/ajpendo.1987.253.6.e595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079442463
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1152/ajpendo.2001.280.1.e179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074739597
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1177/0091270007304457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028377625
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1210/jcem-71-6-1508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064316545
172 rdf:type schema:CreativeWork
173 https://doi.org/10.2337/diab.35.3.362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070735000
174 rdf:type schema:CreativeWork
175 https://doi.org/10.2337/diabetes.35.3.362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070740829
176 rdf:type schema:CreativeWork
177 https://www.grid.ac/institutes/grid.8993.b schema:alternateName Uppsala University
178 schema:name Department of Pharmaceutical Biosciences, Uppsala University, Box 591, 751 24, Uppsala, Sweden
179 rdf:type schema:Organization
 




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


...