2021
DOI: 10.1177/1759720x20966490
|View full text |Cite
|
Sign up to set email alerts
|

A theoretical framework to improve the construct for chronic pain disorders using fibromyalgia as an example

Abstract: Fibromyalgia (FM) is a frequent, complex condition of chronic musculoskeletal pain with no evidence for biological correlates. For this reason, despite many efforts from the medical community, its construct still appears ill defined. Promising candidate biomarkers are critically reviewed. A research agenda is proposed for developing a clearer construct of FM. The ideal theoretical framework is one of overcoming the illness–disease dichotomy and considering reciprocal interactions between biology and behaviour.… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
7
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(7 citation statements)
references
References 67 publications
0
7
0
Order By: Relevance
“…The investigators of the included studies used versatile methodologies to measure the NFR threshold (Appendix 4, Supplemental Digital Content 5, http://links.lww.com/PHM/B160). After a thorough analysis (Table 2), we highlighted the studies that caused an overall heterogeneity, that is, patients with chronic cluster headache remission by Sandrini et al 32 ; patients with headache by Filatova et al 30 ; patients with chronic neck pain by Biurrun Manresa et al 22 ; and patients with whiplash by Smith et al 38 These exclusions resulted in ( I 2 = 28%, χ 2 = 31.93, df = 23, P = 0.10) and the test of overall effect indicated to be still highly significant ( Z = 11.21, P < 0.00001). Additional forest plot excluding these studies are presented in Appendix 3 (Supplemental Digital Content 4, http://links.lww.com/PHM/B159).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The investigators of the included studies used versatile methodologies to measure the NFR threshold (Appendix 4, Supplemental Digital Content 5, http://links.lww.com/PHM/B160). After a thorough analysis (Table 2), we highlighted the studies that caused an overall heterogeneity, that is, patients with chronic cluster headache remission by Sandrini et al 32 ; patients with headache by Filatova et al 30 ; patients with chronic neck pain by Biurrun Manresa et al 22 ; and patients with whiplash by Smith et al 38 These exclusions resulted in ( I 2 = 28%, χ 2 = 31.93, df = 23, P = 0.10) and the test of overall effect indicated to be still highly significant ( Z = 11.21, P < 0.00001). Additional forest plot excluding these studies are presented in Appendix 3 (Supplemental Digital Content 4, http://links.lww.com/PHM/B159).…”
Section: Resultsmentioning
confidence: 99%
“…A major issue that faces clinicians and researchers is the lack of objectivity available within many diagnostic criteria used to label a patient with a specific chronic pain condition. For example, common chronic pain conditions including fibromyalgia and myofascial pain syndrome have subjective and self-report–based diagnostic criteria 38 . These criteria are expert opinion, and their ability to create a homogeneous group if applied correctly has not been demonstrated.…”
Section: Discussionmentioning
confidence: 99%
“…Some recent studies have used network analysis to better understand the complexity of chronic pain [ 16 , 17 ]; however, no previous study has used network analysis in individuals with FMS. Since an ideal theoretical framework of FMS integrates reciprocal interactions between biology (sensory and physical aspects) and behaviors (psychological and cognitive aspects) [ 18 ], we applied network analysis to better understand the interactions between sensory, cognitive, health-related, and physical variables in women with FMS. Accordingly, the main aims of this study were to (1) describe a network including demographic, clinical, psycho-physical, psychological, health-related, and physical variables in women with FMS, and (2) illustrate the potential of a network analysis perspective for understanding complex mechanisms of FMS, generating research questions, and improving potential treatment strategies.…”
Section: Introductionmentioning
confidence: 99%
“…Since an ideal theoretical framework of FMS integrates reciprocal interactions between biology (clinical and sensory aspects) and behaviors (psychological and cognitive aspects) [11], we argue that a structural equation modelling (SEM) approach can provide an efficient framework to test-explore-retest competing causal models for a complex disorder such as FMS. In fact, when quantifying complex multivariate mechanistic pathways are included, variables can simultaneously depend on, and influence, other variables.…”
Section: Introductionmentioning
confidence: 99%