Neuropathic pain phenotyping by international consensus (NeuroPPIC) for genetic studies: a NeuPSIG systematic review, Delphi survey, and expert panel recommendations
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Author(s)
Type
Journal Article
Abstract
For genetic research to contribute more fully to furthering our knowledge of neuropathic pain, we require an agreed, valid, and feasible
approach to phenotyping, to allow collaboration and replication in samples of sufficient size. Results from genetic studies on
neuropathic painhave beeninconsistentand havemet with replication difficulties,inpartbecauseofdifferences inphenotypesused for
case ascertainment. Because there is no consensus on the nature of these phenotypes, nor on the methods of collecting them, this
study aimed to provide guidelines on collecting and reporting phenotypes in cases and controls for genetic studies. Consensus was
achieved through a staged approach: (1) systematic literature review to identify all neuropathic pain phenotypes used in previous
genetic studies; (2) Delphi survey to identify the most useful neuropathic pain phenotypes and their validity and feasibility; and (3)
meeting of experts to reach consensus on the optimal phenotype(s) to be collected from patients with neuropathic pain for genetic
studies. A basic “entry level” set of phenotypes was identified for any genetic study of neuropathic pain. This set identifies cases of
“possible” neuropathic pain, and controls,and includes:(1) a validatedsymptom-basedquestionnaire to determine whether any painis
likely to be neuropathic; (2) body chart or checklist to identify whether the area of pain distribution is neuroanatomically logical; and (3)
details of pain history (intensity, duration, any formal diagnosis). This NeuroPPIC “entry level” set of phenotypes can be expanded by
more extensive and specific measures, as determined by scientific requirements and resource availability.
approach to phenotyping, to allow collaboration and replication in samples of sufficient size. Results from genetic studies on
neuropathic painhave beeninconsistentand havemet with replication difficulties,inpartbecauseofdifferences inphenotypesused for
case ascertainment. Because there is no consensus on the nature of these phenotypes, nor on the methods of collecting them, this
study aimed to provide guidelines on collecting and reporting phenotypes in cases and controls for genetic studies. Consensus was
achieved through a staged approach: (1) systematic literature review to identify all neuropathic pain phenotypes used in previous
genetic studies; (2) Delphi survey to identify the most useful neuropathic pain phenotypes and their validity and feasibility; and (3)
meeting of experts to reach consensus on the optimal phenotype(s) to be collected from patients with neuropathic pain for genetic
studies. A basic “entry level” set of phenotypes was identified for any genetic study of neuropathic pain. This set identifies cases of
“possible” neuropathic pain, and controls,and includes:(1) a validatedsymptom-basedquestionnaire to determine whether any painis
likely to be neuropathic; (2) body chart or checklist to identify whether the area of pain distribution is neuroanatomically logical; and (3)
details of pain history (intensity, duration, any formal diagnosis). This NeuroPPIC “entry level” set of phenotypes can be expanded by
more extensive and specific measures, as determined by scientific requirements and resource availability.
Date Issued
2015-11-01
Date Acceptance
2015-11-01
Citation
Pain, 2015, 156 (11), pp.2337-2353
ISSN
0304-3959
Publisher
Elseiver Science BV
Start Page
2337
End Page
2353
Journal / Book Title
Pain
Volume
156
Issue
11
Copyright Statement
© 2015 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain. This is an open access ar
ticle distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ticle distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Identifier
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Subjects
Science & Technology
Life Sciences & Biomedicine
Anesthesiology
Clinical Neurology
Neurosciences
Neurosciences & Neurology
Neuropathic pain
Genetics
Phenotype
Systematic review
Delphi survey
POSTHERPETIC NEURALGIA PHN
CASE-CONTROL ASSOCIATION
LUMBAR DISC HERNIATION
LOW-BACK-PAIN
SENSORY NEUROPATHY
RISK PREDICTION
POPULATION
HAPLOTYPE
SCIATICA
ALLELE
Publication Status
Published