Literature DB >> 35319501

Features and methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system: a Delphi expert consensus study.

Muath A Shraim1, Kathleen A Sluka2, Michele Sterling3, Lars Arendt-Nielsen4, Charles Argoff5, Karl S Bagraith6, Ralf Baron7, Helena Brisby8, Daniel B Carr9, Ruth L Chimenti10, Carol A Courtney11, Michele Curatolo12, Beth D Darnall13, Jon J Ford14, Thomas Graven-Nielsen15, Melissa C Kolski16, Eva Kosek17,18, Richard E Liebano19, Shannon L Merkle20, Romy Parker21, Felipe J J Reis22,23, Keith Smart24, Rob J E M Smeets25,26, Peter Svensson27, Bronwyn L Thompson28, Rolf-Detlef Treede29, Takahiro Ushida30, Owen D Williamson31, Paul W Hodges1.   

Abstract

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.
Copyright © 2022 International Association for the Study of Pain.

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Year:  2022        PMID: 35319501      PMCID: PMC9294075          DOI: 10.1097/j.pain.0000000000002577

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   7.926


  31 in total

Review 1.  Rethinking chronic pain in a primary care setting.

Authors:  Steven Stanos; Marina Brodsky; Charles Argoff; Daniel J Clauw; Yvonne D'Arcy; Sean Donevan; Kevin B Gebke; Mark P Jensen; Evelyn Lewis Clark; Bill McCarberg; Peter W Park; Dennis C Turk; Stephen Watt
Journal:  Postgrad Med       Date:  2016-06       Impact factor: 3.840

Review 2.  The integration of pain sciences into clinical practice.

Authors:  L S Gifford; D S Butler
Journal:  J Hand Ther       Date:  1997 Apr-Jun       Impact factor: 1.950

Review 3.  A Mechanism-Based Approach to Physical Therapist Management of Pain.

Authors:  Ruth L Chimenti; Laura A Frey-Law; Kathleen A Sluka
Journal:  Phys Ther       Date:  2018-05-01

Review 4.  NeuPSIG guidelines on neuropathic pain assessment.

Authors:  Maija Haanpää; Nadine Attal; Miroslav Backonja; Ralf Baron; Michael Bennett; Didier Bouhassira; Giorgio Cruccu; Per Hansson; Jennifer A Haythornthwaite; Gian Domenico Iannetti; Troels S Jensen; Timo Kauppila; Turo J Nurmikko; Andew S C Rice; Michael Rowbotham; Jordi Serra; Claudia Sommer; Blair H Smith; Rolf-Detlef Treede
Journal:  Pain       Date:  2010-09-19       Impact factor: 6.961

Review 5.  Neuropathic pain: a maladaptive response of the nervous system to damage.

Authors:  Michael Costigan; Joachim Scholz; Clifford J Woolf
Journal:  Annu Rev Neurosci       Date:  2009       Impact factor: 12.449

6.  Systematic Review and Synthesis of Mechanism-based Classification Systems for Pain Experienced in the Musculoskeletal System.

Authors:  Muath A Shraim; Hugo Massé-Alarie; Leanne M Hall; Paul W Hodges
Journal:  Clin J Pain       Date:  2020-10       Impact factor: 3.442

7.  Clinical indicators of 'nociceptive', 'peripheral neuropathic' and 'central' mechanisms of musculoskeletal pain. A Delphi survey of expert clinicians.

Authors:  Keith M Smart; Catherine Blake; Anthony Staines; Catherine Doody
Journal:  Man Ther       Date:  2009-08-12

Review 8.  Diagnosing and treating chronic musculoskeletal pain based on the underlying mechanism(s).

Authors:  Daniel J Clauw
Journal:  Best Pract Res Clin Rheumatol       Date:  2015-05-23       Impact factor: 4.098

Review 9.  Using the Delphi technique to determine which outcomes to measure in clinical trials: recommendations for the future based on a systematic review of existing studies.

Authors:  Ian P Sinha; Rosalind L Smyth; Paula R Williamson
Journal:  PLoS Med       Date:  2011-01-25       Impact factor: 11.069

Review 10.  Neuropathic pain: an updated grading system for research and clinical practice.

Authors:  Nanna B Finnerup; Simon Haroutounian; Peter Kamerman; Ralf Baron; David L H Bennett; Didier Bouhassira; Giorgio Cruccu; Roy Freeman; Per Hansson; Turo Nurmikko; Srinivasa N Raja; Andrew S C Rice; Jordi Serra; Blair H Smith; Rolf-Detlef Treede; Troels S Jensen
Journal:  Pain       Date:  2016-08       Impact factor: 7.926

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