Features and methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system: a Delphi expert consensus study: a Delphi expert consensus study
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| Názov: | Features and methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system: a Delphi expert consensus study: a Delphi expert consensus study |
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| Autori: | Muath A. Shraim, Kathleen A. Sluka, Michele Sterling, Lars Arendt-Nielsen, Charles Argoff, Karl S. Bagraith, Ralf Baron, Helena Brisby, Daniel B. Carr, Ruth L. Chimenti, Carol A. Courtney, Michele Curatolo, Beth D. Darnall, Jon J. Ford, Thomas Graven-Nielsen, Melissa C. Kolski, Eva Kosek, Richard E. Liebano, Shannon L. Merkle, Romy Parker, Felipe J. J. Reis, Keith Smart, Rob J. E. M. Smeets, Peter Svensson, Bronwyn L. Thompson, Rolf-Detlef Treede, Takahiro Ushida, Owen D. Williamson, Paul W. Hodges |
| Prispievatelia: | Physiotherapy, Human Physiology and Anatomy, Brussels Heritage Lab, Pain in Motion |
| Zdroj: | Shraim, M A, Sluka, K A, Sterling, M, Arendt-Nielsen, L, Argoff, C, Bagraith, K S, Baron, R, Brisby, H, Carr, D B, Chimenti, R L, Courtney, C A, Curatolo, M, Darnall, B D, Ford, J J, Graven-Nielsen, T, Kolski, M C, Kosek, E, Liebano, R E, Merkle, S L, Parker, R, Reis, F J J, Smart, K, Smeets, R J E M, Svensson, P, Thompson, B L, Treede, R-D, Ushida, T, Williamson, O D & Hodges, P W 2022, 'Features and methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system : a Delphi expert consensus study', Pain, vol. 163, no. 9, pp. 1812-1828. https://doi.org/10.1097/j.pain.0000000000002577 |
| Informácie o vydavateľovi: | Ovid Technologies (Wolters Kluwer Health), 2022. |
| Rok vydania: | 2022 |
| Predmety: | Questionnaires, Consensus, Delphi Technique, Expert consensus, quantitative sensory testing, Clinical examination, Quantitative sensory testing, Delphi, CLASSIFICATION, RECOMMENDATIONS, Imaging, diagnostic tests, 03 medical and health sciences, clinical examination, 0302 clinical medicine, Musculoskeletal Pain, Delphi technique, Surveys and Questionnaires, Humans, pain, types, Musculoskeletal System, mechanisms, Pain mechanisms, expert consensus, NEUROPATHIC PAIN, PRIMARY-CARE, categories, imaging, Peripheral Nervous System Diseases, questionnaires, 3. Good health, classification, Diagnostic tests, Imaging, Diagnostic tests, GRADING SYSTEM, Musculoskeletal Pain/diagnosis, discrimination |
| Popis: | 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. |
| Druh dokumentu: | Article |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 1872-6623 0304-3959 |
| DOI: | 10.1097/j.pain.0000000000002577 |
| Prístupová URL adresa: | https://pubmed.ncbi.nlm.nih.gov/35319501 https://vbn.aau.dk/da/publications/044a8d39-802f-4b24-8f86-1b4cfea0c67a https://doi.org/10.1097/j.pain.0000000000002577 https://vbn.aau.dk/ws/files/460474258/00006396_900000000_97799.pdf http://www.scopus.com/inward/record.url?scp=85137008555&partnerID=8YFLogxK https://cris.maastrichtuniversity.nl/en/publications/8cc61243-939b-4d69-845b-78d6b8bcf480 https://doi.org/10.1097/j.pain.0000000000002577 https://biblio.vub.ac.be/vubir/(51ab99ab-c46a-4645-886c-93771a1f2d90).html https://pure.au.dk/portal/en/publications/93963e00-902d-4d8f-856e-15c551a8cb9d https://doi.org/10.1097/j.pain.0000000000002577 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294075/pdf/nihms-1772587.pdf http://www.scopus.com/inward/record.url?scp=85137008555&partnerID=8YFLogxK |
| Rights: | taverne |
| Prístupové číslo: | edsair.doi.dedup.....ac31ecb470a17c981ad04b28f30d4c97 |
| Databáza: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | 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. |
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| ISSN: | 18726623 03043959 |
| DOI: | 10.1097/j.pain.0000000000002577 |