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. 2024 Nov;44(11):2389-2402.
doi: 10.1007/s00296-024-05616-2. Epub 2024 May 15.

Cluster analysis in fibromyalgia: a systematic review

Anna Carolyna Gianlorenço  1   2 , Valton Costa  1   2 , Walter Fabris-Moraes  2 , Maryela Menacho  1   2 , Luana Gola Alves  2 , Daniela Martinez-Magallanes  2 , Felipe Fregni  3
Affiliations

Cluster analysis in fibromyalgia: a systematic review

Anna Carolyna Gianlorenço et al. Rheumatol Int. 2024 Nov.

Abstract

Background: The multifaceted nature of Fibromyalgia syndrome (FM) symptoms has been explored through clusters analysis.

Objective: To synthesize the cluster research on FM (variables, methods, patient subgroups, and evaluation metrics).

Methods: We performed a systematic review following the PRISMA recommendations. Independent searches were performed on PubMed, Embase, Web of Science, and Cochrane Central, employing the terms "fibromyalgia" and "cluster analysis". We included studies dated to January 2024, using the cluster analysis to assess any physical, psychological, clinical, or biomedical variables in FM subjects, and descriptively synthesized the studies in terms of design, cluster method, and resulting patient profiles.

Results: We included 39 studies. Most with a cross-sectional design aiming to classify subsets based on the severity, adjustment, symptomatic manifestations, psychological profiles, and response to treatment, based on demographic and clinical variables. Two to four different profiles were found according to the levels of severity and adjustment to FMS. According to symptom manifestation, two to three clusters described the predominance of pain versus fatigue, and thermal pain sensitivity (less versus more sensitive). Other clusters revealed profiles of personality (pathological versus non-pathological) and psychological vulnerability (suicidal ideation). Additionally, studies identified different responses to treatment (pharmacological and multimodal).

Conclusion: Several profiles exist within FMS population, which point out to the need for specific treatment options given the different profiles and an efficient allocation of healthcare resources. We notice a need towards more objective measures, and the validation of the cluster results. Further research might investigate some of the assumptions of these findings, which are further discussed in this paper.

Keywords: Cluster analysis; Fibromyalgia; Systematic review.

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