Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-03-04

AUTHORS

Tara L. Packham, Joseph C. Cappelleri, Alesia Sadosky, Joy C. MacDermid, Florian Brunner

ABSTRACT

BackgroundpainDETECT (PD-Q) is a self-reported assessment of pain qualities developed as a screening tool for pain of neuropathic origin. Rasch analysis is a strategy for examining the measurement characteristics of a scale using a form of item response theory. We conducted a Rasch analysis to consider if the scoring and measurement properties of PD-Q would support its use as an outcome measure.MethodsRasch analysis was conducted on PD-Q scores drawn from a cross-sectional study of the burden and costs of NeP. The analysis followed an iterative process based on recommendations in the literature, including examination of sequential scoring categories, unidimensionality, reliability and differential item function. Data from 624 persons with a diagnosis of painful diabetic polyneuropathy, small fibre neuropathy, and neuropathic pain associated with chronic low back pain, spinal cord injury, HIV-related pain, or chronic post-surgical pain was used for this analysis.ResultsPD-Q demonstrated fit to the Rasch model after adjustments of scoring categories for four items, and omission of the time course and radiating questions. The resulting seven-item scale of pain qualities demonstrated good reliability with a person-separation index of 0.79. No scoring bias (differential item functioning) was found for this version.ConclusionsRasch modelling suggests the seven pain-qualities items from PD-Q may be used as an outcome measure. Further research is required to confirm validity and responsiveness in a clinical setting. More... »

PAGES

48

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12883-017-0825-2

DOI

http://dx.doi.org/10.1186/s12883-017-0825-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084250445

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28259159


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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Independent Living", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neuralgia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pain Measurement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Psychometrics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "School of Rehabilitation Sciences, McMaster University, 1400 Main St. W., L8S 1C7, Hamilton, ON, Canada", 
          "id": "http://www.grid.ac/institutes/grid.25073.33", 
          "name": [
            "School of Rehabilitation Sciences, McMaster University, 1400 Main St. W., L8S 1C7, Hamilton, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Packham", 
        "givenName": "Tara L.", 
        "id": "sg:person.01206446715.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206446715.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pfizer Inc, Groton, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.410513.2", 
          "name": [
            "Pfizer Inc, Groton, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cappelleri", 
        "givenName": "Joseph C.", 
        "id": "sg:person.01340453362.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340453362.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pfizer Inc., New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.410513.2", 
          "name": [
            "Pfizer Inc., New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sadosky", 
        "givenName": "Alesia", 
        "id": "sg:person.01246276051.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246276051.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Physical Therapy, Western University, London, Ontario, Canada", 
          "id": "http://www.grid.ac/institutes/grid.39381.30", 
          "name": [
            "School of Rehabilitation Sciences, McMaster University, 1400 Main St. W., L8S 1C7, Hamilton, ON, Canada", 
            "School of Physical Therapy, Western University, London, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "MacDermid", 
        "givenName": "Joy C.", 
        "id": "sg:person.01247303002.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247303002.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Physical Medicine and Rheumatology, Balgrist University Hospital, Forchstrasse 340, CH-8008, Zurich, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.412373.0", 
          "name": [
            "Department of Physical Medicine and Rheumatology, Balgrist University Hospital, Forchstrasse 340, CH-8008, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brunner", 
        "givenName": "Florian", 
        "id": "sg:person.01366506417.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366506417.47"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s13075-015-0761-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022079889", 
          "https://doi.org/10.1186/s13075-015-0761-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2377-14-134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000634484", 
          "https://doi.org/10.1186/1471-2377-14-134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2474-12-190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016522820", 
          "https://doi.org/10.1186/1471-2474-12-190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1745-6215-12-s1-a65", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005583884", 
          "https://doi.org/10.1186/1745-6215-12-s1-a65"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-03-04", 
    "datePublishedReg": "2017-03-04", 
    "description": "BackgroundpainDETECT (PD-Q) is a self-reported assessment of pain qualities developed as a screening tool for pain of neuropathic origin. Rasch analysis is a strategy for examining the measurement characteristics of a scale using a form of item response theory. We conducted a Rasch analysis to consider if the scoring and measurement properties of PD-Q would support its use as an outcome measure.MethodsRasch analysis was conducted on PD-Q scores drawn from a cross-sectional study of the burden and costs of NeP. The analysis followed an iterative process based on recommendations in the literature, including examination of sequential scoring categories, unidimensionality, reliability and differential item function. Data from 624 persons with a diagnosis of painful diabetic polyneuropathy, small fibre neuropathy, and neuropathic pain associated with chronic low back pain, spinal cord injury, HIV-related pain, or chronic post-surgical pain was used for this analysis.ResultsPD-Q demonstrated fit to the Rasch model after adjustments of scoring categories for four items, and omission of the time course and radiating questions. The resulting seven-item scale of pain qualities demonstrated good reliability with a person-separation index of 0.79. No scoring bias (differential item functioning) was found for this version.ConclusionsRasch modelling suggests the seven pain-qualities items from PD-Q may be used as an outcome measure. Further research is required to confirm validity and responsiveness in a clinical setting.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12883-017-0825-2", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024950", 
        "issn": [
          "1471-2377"
        ], 
        "name": "BMC Neurology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "keywords": [
      "neuropathic pain", 
      "pain quality", 
      "outcome measures", 
      "chronic post-surgical pain", 
      "chronic low back pain", 
      "PD-Q scores", 
      "painful diabetic polyneuropathy", 
      "post-surgical pain", 
      "small fiber neuropathy", 
      "low back pain", 
      "spinal cord injury", 
      "cross-sectional study", 
      "measurement properties", 
      "community-dwelling adults", 
      "diabetic polyneuropathy", 
      "neuropathic origin", 
      "back pain", 
      "cord injury", 
      "self-report assessments", 
      "person separation index", 
      "Rasch analysis", 
      "pain", 
      "clinical setting", 
      "screening tool", 
      "differential item function", 
      "seven-item scale", 
      "time course", 
      "scoring categories", 
      "further research", 
      "PainDETECT", 
      "polyneuropathy", 
      "neuropathy", 
      "HIV", 
      "analysis of responses", 
      "good reliability", 
      "injury", 
      "item function", 
      "diagnosis", 
      "adults", 
      "burden", 
      "scores", 
      "responsiveness", 
      "examination", 
      "measures", 
      "scoring", 
      "setting", 
      "measurement characteristics", 
      "persons", 
      "course", 
      "response", 
      "assessment", 
      "items", 
      "adjustment", 
      "index", 
      "analysis", 
      "categories", 
      "recommendations", 
      "quality", 
      "unidimensionality", 
      "Rasch model", 
      "study", 
      "scale", 
      "Pd", 
      "item response theory", 
      "use", 
      "function", 
      "literature", 
      "data", 
      "omission", 
      "strategies", 
      "bias", 
      "validity", 
      "origin", 
      "reliability", 
      "characteristics", 
      "tool", 
      "iterative process", 
      "questions", 
      "research", 
      "form", 
      "model", 
      "cost", 
      "version", 
      "process", 
      "response theory", 
      "properties", 
      "modelling", 
      "theory"
    ], 
    "name": "Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain", 
    "pagination": "48", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084250445"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12883-017-0825-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28259159"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12883-017-0825-2", 
      "https://app.dimensions.ai/details/publication/pub.1084250445"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_722.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12883-017-0825-2"
  }
]
 

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.10.1186/s12883-017-0825-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12883-017-0825-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12883-017-0825-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12883-017-0825-2'


 

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

256 TRIPLES      21 PREDICATES      130 URIs      118 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12883-017-0825-2 schema:about N09b5032f4fba4e1bb456524091226222
2 N1689cbd87c774e019ffbeca25f4cfc97
3 N30e012b905764bba88b78b46b3e733ae
4 N4e7f706a4a544a66ac1622952c34cf66
5 N50048b963f1d4235888da69f60db520e
6 N6690847f28884a6882ad0c72e525bf1f
7 N86364f7568a8423c8f5bde584f294072
8 N9548e003aba4465ca20adc1b17e718fe
9 N9c872c80ebe94661a8d9b0c2f7508c64
10 N9dec2c2e52814387914f5484f8cbb9d5
11 Na0b916ef1a1742d78556401697e1abb7
12 Nb4ed9684aa3f4d7faf341de6e9672e5b
13 Nfd17164ce2f541518bdbfc8b516a8b84
14 anzsrc-for:11
15 anzsrc-for:1109
16 schema:author Nc5d9118b22924fb7987c9d0fe97c8c49
17 schema:citation sg:pub.10.1186/1471-2377-14-134
18 sg:pub.10.1186/1471-2474-12-190
19 sg:pub.10.1186/1745-6215-12-s1-a65
20 sg:pub.10.1186/s13075-015-0761-8
21 schema:datePublished 2017-03-04
22 schema:datePublishedReg 2017-03-04
23 schema:description BackgroundpainDETECT (PD-Q) is a self-reported assessment of pain qualities developed as a screening tool for pain of neuropathic origin. Rasch analysis is a strategy for examining the measurement characteristics of a scale using a form of item response theory. We conducted a Rasch analysis to consider if the scoring and measurement properties of PD-Q would support its use as an outcome measure.MethodsRasch analysis was conducted on PD-Q scores drawn from a cross-sectional study of the burden and costs of NeP. The analysis followed an iterative process based on recommendations in the literature, including examination of sequential scoring categories, unidimensionality, reliability and differential item function. Data from 624 persons with a diagnosis of painful diabetic polyneuropathy, small fibre neuropathy, and neuropathic pain associated with chronic low back pain, spinal cord injury, HIV-related pain, or chronic post-surgical pain was used for this analysis.ResultsPD-Q demonstrated fit to the Rasch model after adjustments of scoring categories for four items, and omission of the time course and radiating questions. The resulting seven-item scale of pain qualities demonstrated good reliability with a person-separation index of 0.79. No scoring bias (differential item functioning) was found for this version.ConclusionsRasch modelling suggests the seven pain-qualities items from PD-Q may be used as an outcome measure. Further research is required to confirm validity and responsiveness in a clinical setting.
24 schema:genre article
25 schema:isAccessibleForFree true
26 schema:isPartOf N3bc674936d7742eb9700002ab63d1f56
27 Na0479691d0804d5398804d28d04c47e1
28 sg:journal.1024950
29 schema:keywords HIV
30 PD-Q scores
31 PainDETECT
32 Pd
33 Rasch analysis
34 Rasch model
35 adjustment
36 adults
37 analysis
38 analysis of responses
39 assessment
40 back pain
41 bias
42 burden
43 categories
44 characteristics
45 chronic low back pain
46 chronic post-surgical pain
47 clinical setting
48 community-dwelling adults
49 cord injury
50 cost
51 course
52 cross-sectional study
53 data
54 diabetic polyneuropathy
55 diagnosis
56 differential item function
57 examination
58 form
59 function
60 further research
61 good reliability
62 index
63 injury
64 item function
65 item response theory
66 items
67 iterative process
68 literature
69 low back pain
70 measurement characteristics
71 measurement properties
72 measures
73 model
74 modelling
75 neuropathic origin
76 neuropathic pain
77 neuropathy
78 omission
79 origin
80 outcome measures
81 pain
82 pain quality
83 painful diabetic polyneuropathy
84 person separation index
85 persons
86 polyneuropathy
87 post-surgical pain
88 process
89 properties
90 quality
91 questions
92 recommendations
93 reliability
94 research
95 response
96 response theory
97 responsiveness
98 scale
99 scores
100 scoring
101 scoring categories
102 screening tool
103 self-report assessments
104 setting
105 seven-item scale
106 small fiber neuropathy
107 spinal cord injury
108 strategies
109 study
110 theory
111 time course
112 tool
113 unidimensionality
114 use
115 validity
116 version
117 schema:name Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain
118 schema:pagination 48
119 schema:productId N3bbe0fb739b849c585d57a855de5a791
120 Nc3108a06e30c4b69a3f5e15845d70661
121 Nf0d3e69404b04a1889045c4d288f56c1
122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084250445
123 https://doi.org/10.1186/s12883-017-0825-2
124 schema:sdDatePublished 2022-12-01T06:36
125 schema:sdLicense https://scigraph.springernature.com/explorer/license/
126 schema:sdPublisher Nc6a280641b1e4d9fb4633eb2335c5785
127 schema:url https://doi.org/10.1186/s12883-017-0825-2
128 sgo:license sg:explorer/license/
129 sgo:sdDataset articles
130 rdf:type schema:ScholarlyArticle
131 N09b5032f4fba4e1bb456524091226222 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Psychometrics
133 rdf:type schema:DefinedTerm
134 N1689cbd87c774e019ffbeca25f4cfc97 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Middle Aged
136 rdf:type schema:DefinedTerm
137 N30e012b905764bba88b78b46b3e733ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Independent Living
139 rdf:type schema:DefinedTerm
140 N3bbe0fb739b849c585d57a855de5a791 schema:name doi
141 schema:value 10.1186/s12883-017-0825-2
142 rdf:type schema:PropertyValue
143 N3bc674936d7742eb9700002ab63d1f56 schema:volumeNumber 17
144 rdf:type schema:PublicationVolume
145 N4e7f706a4a544a66ac1622952c34cf66 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Male
147 rdf:type schema:DefinedTerm
148 N50048b963f1d4235888da69f60db520e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Humans
150 rdf:type schema:DefinedTerm
151 N5af98be7a1a54468967ad5330947bf2c rdf:first sg:person.01246276051.11
152 rdf:rest Nd0de9b10092242beb6af51407d85f92c
153 N6690847f28884a6882ad0c72e525bf1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Cross-Sectional Studies
155 rdf:type schema:DefinedTerm
156 N66f622eefadb45938f7b942217e225eb rdf:first sg:person.01340453362.44
157 rdf:rest N5af98be7a1a54468967ad5330947bf2c
158 N86364f7568a8423c8f5bde584f294072 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Reproducibility of Results
160 rdf:type schema:DefinedTerm
161 N9548e003aba4465ca20adc1b17e718fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Adult
163 rdf:type schema:DefinedTerm
164 N9c872c80ebe94661a8d9b0c2f7508c64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Neuralgia
166 rdf:type schema:DefinedTerm
167 N9d974a43ecb24ecf9e2e3060a9b3881c rdf:first sg:person.01366506417.47
168 rdf:rest rdf:nil
169 N9dec2c2e52814387914f5484f8cbb9d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Surveys and Questionnaires
171 rdf:type schema:DefinedTerm
172 Na0479691d0804d5398804d28d04c47e1 schema:issueNumber 1
173 rdf:type schema:PublicationIssue
174 Na0b916ef1a1742d78556401697e1abb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Models, Statistical
176 rdf:type schema:DefinedTerm
177 Nb4ed9684aa3f4d7faf341de6e9672e5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Female
179 rdf:type schema:DefinedTerm
180 Nc3108a06e30c4b69a3f5e15845d70661 schema:name pubmed_id
181 schema:value 28259159
182 rdf:type schema:PropertyValue
183 Nc5d9118b22924fb7987c9d0fe97c8c49 rdf:first sg:person.01206446715.55
184 rdf:rest N66f622eefadb45938f7b942217e225eb
185 Nc6a280641b1e4d9fb4633eb2335c5785 schema:name Springer Nature - SN SciGraph project
186 rdf:type schema:Organization
187 Nd0de9b10092242beb6af51407d85f92c rdf:first sg:person.01247303002.46
188 rdf:rest N9d974a43ecb24ecf9e2e3060a9b3881c
189 Nf0d3e69404b04a1889045c4d288f56c1 schema:name dimensions_id
190 schema:value pub.1084250445
191 rdf:type schema:PropertyValue
192 Nfd17164ce2f541518bdbfc8b516a8b84 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
193 schema:name Pain Measurement
194 rdf:type schema:DefinedTerm
195 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
196 schema:name Medical and Health Sciences
197 rdf:type schema:DefinedTerm
198 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
199 schema:name Neurosciences
200 rdf:type schema:DefinedTerm
201 sg:journal.1024950 schema:issn 1471-2377
202 schema:name BMC Neurology
203 schema:publisher Springer Nature
204 rdf:type schema:Periodical
205 sg:person.01206446715.55 schema:affiliation grid-institutes:grid.25073.33
206 schema:familyName Packham
207 schema:givenName Tara L.
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206446715.55
209 rdf:type schema:Person
210 sg:person.01246276051.11 schema:affiliation grid-institutes:grid.410513.2
211 schema:familyName Sadosky
212 schema:givenName Alesia
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246276051.11
214 rdf:type schema:Person
215 sg:person.01247303002.46 schema:affiliation grid-institutes:grid.39381.30
216 schema:familyName MacDermid
217 schema:givenName Joy C.
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247303002.46
219 rdf:type schema:Person
220 sg:person.01340453362.44 schema:affiliation grid-institutes:grid.410513.2
221 schema:familyName Cappelleri
222 schema:givenName Joseph C.
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340453362.44
224 rdf:type schema:Person
225 sg:person.01366506417.47 schema:affiliation grid-institutes:grid.412373.0
226 schema:familyName Brunner
227 schema:givenName Florian
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366506417.47
229 rdf:type schema:Person
230 sg:pub.10.1186/1471-2377-14-134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000634484
231 https://doi.org/10.1186/1471-2377-14-134
232 rdf:type schema:CreativeWork
233 sg:pub.10.1186/1471-2474-12-190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016522820
234 https://doi.org/10.1186/1471-2474-12-190
235 rdf:type schema:CreativeWork
236 sg:pub.10.1186/1745-6215-12-s1-a65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005583884
237 https://doi.org/10.1186/1745-6215-12-s1-a65
238 rdf:type schema:CreativeWork
239 sg:pub.10.1186/s13075-015-0761-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022079889
240 https://doi.org/10.1186/s13075-015-0761-8
241 rdf:type schema:CreativeWork
242 grid-institutes:grid.25073.33 schema:alternateName School of Rehabilitation Sciences, McMaster University, 1400 Main St. W., L8S 1C7, Hamilton, ON, Canada
243 schema:name School of Rehabilitation Sciences, McMaster University, 1400 Main St. W., L8S 1C7, Hamilton, ON, Canada
244 rdf:type schema:Organization
245 grid-institutes:grid.39381.30 schema:alternateName School of Physical Therapy, Western University, London, Ontario, Canada
246 schema:name School of Physical Therapy, Western University, London, Ontario, Canada
247 School of Rehabilitation Sciences, McMaster University, 1400 Main St. W., L8S 1C7, Hamilton, ON, Canada
248 rdf:type schema:Organization
249 grid-institutes:grid.410513.2 schema:alternateName Pfizer Inc, Groton, CT, USA
250 Pfizer Inc., New York, NY, USA
251 schema:name Pfizer Inc, Groton, CT, USA
252 Pfizer Inc., New York, NY, USA
253 rdf:type schema:Organization
254 grid-institutes:grid.412373.0 schema:alternateName Department of Physical Medicine and Rheumatology, Balgrist University Hospital, Forchstrasse 340, CH-8008, Zurich, Switzerland
255 schema:name Department of Physical Medicine and Rheumatology, Balgrist University Hospital, Forchstrasse 340, CH-8008, Zurich, Switzerland
256 rdf:type schema:Organization
 




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


...