The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Subgrouping of fibromyalgia patients on the basis of pressure‐pain thresholds and psychological factors
Abstract
Objective: Although the American College of Rheumatology (ACR) criteria for fibromyalgia are used to identify individuals with both widespread pain and tenderness, individuals who meet these criteria are not a homogeneous group. Patients differ in their accompanying clinical symptoms, as well as in the relative contributions of biologic, psychological, and cognitive factors to their symptom expression. Therefore, it seems useful to identify subsets of fibromyalgia patients on the basis of which of these factors are present. Previous attempts at identifying subsets have been based solely on psychological and cognitive features. In this study, we attempt to identify patient subsets by incorporating these features as well as the degree of hyperalgesia/tenderness, which is a key neurobiologic feature of this illness. Methods: Ninety‐seven individuals meeting the ACR criteria for fibromyalgia finished the same battery of self‐report and evoked‐pain testing. Analyzed variables were obtained from several domains, consisting of 1) mood (evaluated by the Center for Epidemiologic Studies Depression Scale [for depression] and the State‐Trait Personality Inventory [for symptoms of trait‐related anxiety]), 2) cognition (by the catastrophizing and control of pain subscales of the Coping Strategies Questionnaire), and 3) hyperalgesia/tenderness (by dolorimetry and random pressure‐pain applied at suprathreshold values). Cluster analytic procedures were used to distinguish subgroups of fibromyalgia patients based on these domains. Results: Three clusters best fit the data. Multivariate analysis of variance (ANOVA) confirmed that each variable was differentiated by the cluster solution (Wilks' λ [degrees of freedom 6,89] = 0.123, P < 0.0001), with univariate ANOVAs also indicating significant differences (all P < 0.05). One subgroup of patients (n = 50) was characterized by moderate mood ratings, moderate levels of catastrophizing and perceived control over pain, and low levels of tenderness. A second subgroup (n = 31) displayed significantly elevated values on the mood assessments, the highest values on the catastrophizing subscale, the lowest values for perceived control over pain, and high levels of tenderness. The third group (n = 16) had normal mood ratings, very low levels of catastrophizing, and the highest level of perceived control over pain, but these subjects showed extreme tenderness on evoked‐pain testing. Conclusion: These data help support the clinical impression that there are distinct subgroups of patients with fibromyalgia. There appears to be a group of fibromyalgia patients who exhibit extreme tenderness but lack any associated psychological/cognitive factors, an intermediate group who display moderate tenderness and have normal mood, and a group in whom mood and cognitive factors may be significantly influencing the symptom report.
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In the citing paper
“PC is a key risk factor of FM; in fact, PC is one of the most commonly used classifications to differentiate the clinical subtypes of FM [19].”
From Effectiveness of cognitive behaviour therapy for the treatment of catastrophisation in patients with fibromyalgia: A randomised controlled trial (2011) · cites this paper as [19]
In the citing paper
“PC is a key risk factor of FM; in fact, PC is one of the most commonly used classifications to differentiate the clinical subtypes of FM [19].”
From Effectiveness of cognitive behaviour therapy for the treatment of catastrophisation in patients with fibromyalgia: A randomised controlled trial (2011) · cites this paper as [19]
In the citing paper
“Catastrophization is considered a key clinical symptom in fibromyalgia; however, there are no studies on the pharmacological or psychological treatment of catastrophizing.”
From Effectiveness of the psychological and pharmacological treatment of catastrophization in patients with fibromyalgia: a randomized controlled trial. (2009) · cites this paper as [22]
In the citing paper
“Catastrophization is considered a key clinical symptom in fibromyalgia and, in fact, the most used classification of fibromyalgia clinical subtypes includes catastrophization as one of the discriminating variables [22].”
From Effectiveness of the psychological and pharmacological treatment of catastrophization in patients with fibromyalgia: a randomized controlled trial. (2009) · cites this paper as [22]
Citations
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
(1992) · PubMed · Cited by 33,716
The MOS 36-ltem Short-Form Health Survey (SF-36): I. Conceptual Framework and Item Selection
Ware, J. E., & Sherbourne, C. D. (1992) · Medical Care · doi:10.1097/00005650-199206000-00002 · Cited by 30,033
(1970) · Cited by 24,983
The american college of rheumatology 1990 criteria for the classification of fibromyalgia
Wolfe, F., Smythe, H. A., Yunus, M. B., Bennett, R. M., Bombardier, C., Goldenberg, D. L., Tugwell, P., Campbell, S. M., Abeles, M., Clark, P., et al. (1990) · Arthritis & Rheumatism · doi:10.1002/art.1780330203 · Cited by 9,563
State-Trait Anxiety Inventoryによるペインクリニック外来患者の不安の評価
福田, 博. (1994) · The SAGE Encyclopedia of Abnormal and Clinical Psychology · doi:10.4135/9781483365817.n1316 · Cited by 2,804
Rosenstiel, A. K., & Keefe, F. J. (1983) · Pain · doi:10.1016/0304-3959(83)90125-2 · Cited by 2,314
Chronic Multisymptom Illness Affecting Air Force Veterans of the Gulf War
Fukuda, K. (1998) · JAMA · doi:10.1001/jama.280.11.981 · Cited by 729
A Review of the Evidence for Overlap among Unexplained Clinical Conditions
Aaron, L. A., & Buchwald, D. (2001) · Annals of Internal Medicine · doi:10.7326/0003-4819-134-9_part_2-200105011-00011 · Cited by 501
Hertzog, C., Van Alstine, J., Usala, P. D., Hultsch, D. F., & Dixon, R. (1990) · Psychological Assessment: A Journal of Consulting and Clinical Psychology · doi:10.1037/1040-3590.2.1.64 · Cited by 452
Flagged first, then by citations
Research works printed but not linked: 2
- Bennett RM, 1991, A multidisciplinary approach to fibromyalgia management: balanced approach provides small but significant gains, J Musculoskeletal Medicine, 8, 21
- Spielberger CD, 2000, Preliminary manual for the State‐Trait Personality Inventory (STPI)
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Sorted by citations
Items 401–428 of 428
Physiotherapie eines Chamäleons
Erhardt-Raum, G. (2019) · manuelletherapie · doi:10.1055/a-0903-9142
Chiari Malformation and Chronic Fatigue Syndrome/Fibromyalgia: A Paradigm for Care
Sridharan, S. T., & Wilke, W. S. (2005) · Elsevier eBooks · doi:10.1016/b978-0-443-06616-0.50090-0
Staud, R. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-805408-6.00035-x
Neurorretina as an objective potential method for fibromyalgia diagnosis
Altabás, M. J. V., Palacián, M. S., Ciordía, B. C., Palomar, E. V., Fernández‐Velasco, D., Roger, Á. T., & García‐Martín, E. (2021) · Archivos de la Sociedad Española de Oftalmología (English Edition) · doi:10.1016/j.oftale.2021.07.003
La neurorretina como potencial método objetivo para el diagnóstico de la fibromialgia
Altabás, M. J. V., Palacián, M. S., Ciordía, B. C., Palomar, E. V., Fernández‐Velasco, D., Roger, Á. T., & García‐Martín, E. (2021) · Archivos de la Sociedad Española de Oftalmología · doi:10.1016/j.oftal.2021.07.001
Terapêutica da Fibromialgia: Estado da arte
Tavares, C. M. G. M. (2009) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/jf1d-gg83
PREVALENCE OF FIBROMYALGIA SYNDROME (FMS) AMONG WOMEN
Meena, A., Meena, D. S., Saini, N., & Meena, P. (2021) · International Journal of Medical and Biomedical Studies · doi:10.32553/ijmbs.v5i12.2329
Chronic Pain with Neuropathic Characteristic
Shaygan, M. (2014) · doi:10.53846/goediss-4540
Petzke, F. W. (2015) · Springer eBooks · doi:10.1007/978-3-662-45414-5_17
Petzke, F. W. (2011) · Springer eBooks · doi:10.1007/978-3-642-01321-8_17
Gracely, R. H. (2013) · Springer eBooks · doi:10.1007/978-3-642-28753-4_4227
Self-citationSpaeth, M. (2009) · Journal of Musculoskeletal Pain · doi:10.1080/10582450802675910
Medical cannabis and fibromyalgia: a narrative review of current evidence
Wang, C., Erridge, S., & Sodergren, M. H. (2024) · British Journal of Neuroscience Nursing · doi:10.12968/bjnn.2024.0028
Depression and the risk of fibromyalgia syndrome: a two-sample Mendelian randomization study
Ma, X., Sun, J., Geng, R., Zhao, Y., Xu, W., Jiang, Y., Zhao, L., & Li, Y. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1282172
Medical cannabis and fibromyalgia: a narrative review of current evidence
Wang, C., Erridge, S., & Sodergren, M. H. (2024) · British Journal of Neuroscience Nursing · doi:10.12968/bjnn.2023.0028
Progressive visual dysfunction and retinal neurodegeneration in patients with fibromyalgia
García‐Martín, E., Altabás, M. J. V., Palomar, E. V., Ciordía, B. C., García‐Campayo, J., Puebla‐Guedea, M., & Palacian, M. S. (2025) · Archivos de la Sociedad Española de Oftalmología (English Edition) · doi:10.1016/j.oftale.2025.06.008
Disfunción visual progresiva y neurodegeneración retiniana en pacientes con fibromialgia
García‐Martín, E., Altabás, M. J. V., Palomar, E. V., Ciordía, B. C., García‐Campayo, J., Puebla‐Guedea, M., & Palacian, M. S. (2025) · Archivos de la Sociedad Española de Oftalmología · doi:10.1016/j.oftal.2025.06.015
Markers of Fibromyalgia: Classification and Subtyping Using Self-reported Measures
Alipour, D., Perepelkina, O. S., & Stumpf, S. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-00652-3_10
Chen, E., Rudder, T., Nwankwere, C., & Baraniuk, J. N. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1530652
Integrative Pain Medicine Models
Bailey, A. M., & Stein, M. (2008) · Humana Press eBooks · doi:10.1007/978-1-59745-344-8_22
Improving care for patients with rheumatic diseases
van Eijk‐Hustings, Y. (2014) · doi:10.26481/dis.20140313ye
Biomarkers identification in fibromyalgia syndrome
Utzeri, S. (2013) · VEprints - Universita degli Studi di Cagliari
Hackshaw, K. V., Osuna-Diaz, M. M., Sebastian, K. R., Yu, L., Giusti, M. M., Mikulik, Z., & RODRIGUEZ‐SAONA, L. E. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122431 · Cited by 1
LIVING WITH FIBROMYALGIA (FM): THE SALIENCE OF CLINICAL SUBGROUPS
Breland, H. L. (2006) · D-Scholarship@Pitt (University of Pittsburgh)
Metadata
- Authors
- Giesecke, T., Williams, D. A., Harris, R. E., Cupps, T. R., Tian, X., Tian, T. X., Gracely, R. H., & Clauw, D. J.
- Affiliations
- University of Michigan (US)
- Georgetown University (US)
- Venue
- Arthritis & Rheumatism
- Publisher
- Wiley
- Published
- 2003-10
- Volume
- 48
- Issue
- 10
- Pages
- 2916-2922
- ISSN
- 0004-3591 (ISSN-L)
- 1529-0131
- OpenAlex
- W2086137478
- Cited by
- 424
- References
- 30
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 5 · 2023: 13 · 2022: 10 · 2021: 12 · 2020: 19 · 2019: 7 · 2018: 16 · 2017: 19 · 2016: 22 · 2015: 19 · 2014: 25 · 2013: 32 · 2012: 23
- FWCI
- 7.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Arthritis & Rheumatism (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- Department of Army (DAMD 17-00-2-0018)
- NIH (5-R01-AT 000004-02)
- General Clinical Research Center Program of the National Center for Research Resources, NIH (5-M01-RR13297)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Fibromyalgia and Chronic Fatigue Syndrome Research
- Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Myofascial pain diagnosis and treatment
- Keywords
- patient subgroups, pressure pain threshold, tenderness, hyperalgesia, pain catastrophizing, pain coping, depression, anxiety, mood, evoked pain, clustering, ACR diagnostic criteria, widespread pain, psychological factors, cognitive factors, symptom heterogeneity
- MeSH terms
- Adolescent, Adult, Cognition, Female, Fibromyalgia, Humans, Hyperalgesia, Male, Middle Aged, Pressure, Pain Threshold
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