Features and methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system: a Delphi expert consensus study. Issue 9 (19th September 2022)
- Record Type:
- Journal Article
- Title:
- Features and methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system: a Delphi expert consensus study. Issue 9 (19th September 2022)
- Main Title:
- Features and methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system: a Delphi expert consensus study
- Authors:
- Shraim, Muath A.
Sluka, Kathleen A.
Sterling, Michele
Arendt-Nielsen, Lars
Argoff, Charles
Bagraith, Karl S.
Baron, Ralf
Brisby, Helena
Carr, Daniel B.
Chimenti, Ruth L.
Courtney, Carol A.
Curatolo, Michele
Darnall, Beth D.
Ford, Jon J.
Graven-Nielsen, Thomas
Kolski, Melissa C.
Kosek, Eva
Liebano, Richard E.
Merkle, Shannon L.
Parker, Romy
Reis, Felipe J. J.
Smart, Keith
Smeets, Rob J. E. M.
Svensson, Peter
Thompson, Bronwyn L.
Treede, Rolf-Detlef
Ushida, Takahiro
Williamson, Owen D.
Hodges, Paul W. - Abstract:
- Abstract : Forty-nine international pain experts undertook a multiround Delphi study that identified 196 clinical features that may aid in discrimination between mechanisms underlying musculoskeletal pain. Abstract: Classification of musculoskeletal pain based on underlying pain mechanisms (nociceptive, neuropathic, and nociplastic pain) is challenging. In the absence of a gold standard, verification of features that could aid in discrimination between these mechanisms in clinical practice and research depends on expert consensus. This Delphi expert consensus study aimed to: (1) identify features and assessment findings that are unique to a pain mechanism category or shared between no more than 2 categories and (2) develop a ranked list of candidate features that could potentially discriminate between pain mechanisms. A group of international experts were recruited based on their expertise in the field of pain. The Delphi process involved 2 rounds: round 1 assessed expert opinion on features that are unique to a pain mechanism category or shared between 2 (based on a 40% agreement threshold); and round 2 reviewed features that failed to reach consensus, evaluated additional features, and considered wording changes. Forty-nine international experts representing a wide range of disciplines participated. Consensus was reached for 196 of 292 features presented to the panel (clinical examination—134 features, quantitative sensory testing—34, imaging and diagnostic testing—14, andAbstract : Forty-nine international pain experts undertook a multiround Delphi study that identified 196 clinical features that may aid in discrimination between mechanisms underlying musculoskeletal pain. Abstract: Classification of musculoskeletal pain based on underlying pain mechanisms (nociceptive, neuropathic, and nociplastic pain) is challenging. In the absence of a gold standard, verification of features that could aid in discrimination between these mechanisms in clinical practice and research depends on expert consensus. This Delphi expert consensus study aimed to: (1) identify features and assessment findings that are unique to a pain mechanism category or shared between no more than 2 categories and (2) develop a ranked list of candidate features that could potentially discriminate between pain mechanisms. A group of international experts were recruited based on their expertise in the field of pain. The Delphi process involved 2 rounds: round 1 assessed expert opinion on features that are unique to a pain mechanism category or shared between 2 (based on a 40% agreement threshold); and round 2 reviewed features that failed to reach consensus, evaluated additional features, and considered wording changes. Forty-nine international experts representing a wide range of disciplines participated. Consensus was reached for 196 of 292 features presented to the panel (clinical examination—134 features, quantitative sensory testing—34, imaging and diagnostic testing—14, and pain-type questionnaires—14). From the 196 features, consensus was reached for 76 features as unique to nociceptive (17), neuropathic (37), or nociplastic (22) pain mechanisms and 120 features as shared between pairs of pain mechanism categories (78 for neuropathic and nociplastic pain). This consensus study generated a list of potential candidate features that are likely to aid in discrimination between types of musculoskeletal pain. … (more)
- Is Part Of:
- Pain. Volume 163:Issue 9(2022)
- Journal:
- Pain
- Issue:
- Volume 163:Issue 9(2022)
- Issue Display:
- Volume 163, Issue 9 (2022)
- Year:
- 2022
- Volume:
- 163
- Issue:
- 9
- Issue Sort Value:
- 2022-0163-0009-0000
- Page Start:
- 1812
- Page End:
- 1828
- Publication Date:
- 2022-09-19
- Subjects:
- Pain mechanisms -- Expert consensus -- Clinical examination -- Quantitative sensory testing -- Imaging, Diagnostic tests -- Questionnaires
Pain -- Periodicals
Douleur -- Périodiques
Anesthésie -- Périodiques
Pain
Electronic journals
Periodicals
Electronic journals
616.0472 - Journal URLs:
- http://ovidsp.ovid.com/ovidweb.cgi?T=JS&NEWS=n&CSC=Y&PAGE=toc&D=yrovft&AN=00006396-000000000-00000 ↗
http://www.sciencedirect.com/science/journal/03043959 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/03043959 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/03043959 ↗
http://journals.lww.com/pain/pages/default.aspx ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1097/j.pain.0000000000002577 ↗
- Languages:
- English
- ISSNs:
- 0304-3959
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6333.795000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23234.xml