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Record W4416759084 · doi:10.4081/reumatismo.2025.2002

PO:01:005 | Exploring the relationship between alexithymia, pain perception, and disease burden in a cohort of patients with psoriatic arthritis

2025· article· W4416759084 on OpenAlexaboutno aff
Società Italiana Di Reumatologia

Bibliographic record

VenueReumatismo · 2025
Typearticle
Language
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsoriatic arthritisCohortQuality of life (healthcare)AlexithymiaFibromyalgiaEnthesitisDiseaseInflammatory arthritisPsoriasis

Abstract

fetched live from OpenAlex

Background. Psoriatic arthritis (PsA) is a chronic inflammatory disease that affects joints and periarticular structures. It is well established that PsA exerts a significant negative impact on quality of life of affected individuals, inducing functional impairment and related disability. Joint pain and stiffness may be misinterpreted or exaggerated by PsA patients, ultimately leading to unsuccessful chances of remission. We aimed to evaluate the potential impact of alexithymia and pain catastrophizing on clinical features, disease activity and comorbidities in PsA. Methods. A total of 166 PsA patients, fulfilling the 2006 CASPAR criteria, were enrolled. Time frame spanned from January to December 2024. The 20-item Toronto Alexithymia Scale (TAS-20) questionnaire along with Pain catastrophizing scale (PCS) were administered to all recruited patients. Clinical and demographic characteristics, along with disease activity measures, inflammatory indices and concomitant presence of fibromyalgia were recorded. Quality of life was assessed via the SF-36 questionnaire. Statistical analysis employed chi-square and T student tests, as well as Rho Spearman for correlation analysis. A statistical p<0.05 was considered significant. Results. We divided patients into remission-LDA (DAPSA<14) and MoDA-HDA (DAPSA>14) and compared the two groups. Significant differences were noted among groups regarding diagnostic delay (31.7±41 vs 61.8±64.5 months, p<0.001) and comorbidities burden (e.g. dyslipidaemia 32 vs 33±50, p 0.020; osteoporosis 13 vs 18±27.3, p 0.021; anxiety/depression 6 vs 13±19.7, p 0.007). As expected MoDA-HDA group exhibited a greater prevalence of bDMARDs changes and more csDMARDs and NSAID/COXIB usage. We also found a significant difference between the two groups in the clinical domains, like enthesitis (n 55 vs 53±80.3, p <0.001) and dactylitis (18 vs 23±34.8, p 0.014) (Table 1). Other significant differences were found in laboratory indices (e.g. CRP (mg/dl) 0.6±0.8 vs 1.8±2.7, p <0.001), TAS total score (42.5±16.9 vs 62.7±16.7, p <0.001), Beck’s Depression Inventory (6.7±3.1 vs 12.9±9.2 vs, p <0.001), and for all items of the Short Form Health Survey 36 (SF-36) (Table 2). Within the Rho correlation analysis, strong correlations emerged in the TAS total score (Pain Catastrophizing Scale Total: Rho 0.7439; PCS rumination: Rho 0.663; PCS magnification: Rho 0.712; PCS helplessness: Rho 0.666; WPI+SSS: Rho 0.698; WPI: Rho 0.630) (Table 3). Conclusions. This study suggests that disease activity is related to a higher disease burden including indirect index of mood disorders. The assessment of alexithymia should be an integral part of the comprehensive management of PsA patients and it might have an impact on disease activity score evaluation. Being aware of these hurdles could guide the clinician in the correct diagnostic-therapeutic framework.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.255
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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