Evidence map›Paper›PMID 42342980›Full record

ArticleClinical rheumatology2026

Patient and physician global assessments capture distinct clinical domains in axial spondyloarthritis.

Duygu Kurtulus, Ekrem Aslan, Adem Kucuk

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Article in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Duygu KurtulusDepartment of Physical Medicine and Rehabilitation, Faculty of Medicine, Uskudar University,Memorial Atasehir Hospital, Istanbul, Turkey. dygkurtulus@gmail.com.ORCID http://orcid.org/0000-0002-9763-5912
Ekrem AslanDepartment of Internal Medicine, Division of Gastroenterology, Memorial Atasehir Hospital, Istanbul, Turkey.
Adem KucukDepartment of Internal Medicine, Division of Rheumatology, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient global (PtGA) and physician global (PhGA) assessments are key components of disease evaluation in axial spondyloarthritis (axSpA). Although commonly used in composite indices, these measures are often interpreted as interchangeable indicators of disease activity. It remains unclear whether PtGA and PhGA reflect overlapping or distinct clinical domains.

methodsIn this cross-sectional study, 155 patients fulfilling the modified New York criteria, with ASAS classification criteria additionally recorded, were included. All patients had radiographic and MRI-confirmed sacroiliitis. Patient-reported outcomes included PtGA (0-10 VAS), fatigue (0-100), and Beck Depression Inventory (BDI). PhGA (0-10 VAS) was assessed independently by the evaluating physician. Laboratory parameters included erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP). Spinal mobility was evaluated using the modified Schober test, tragus-to-wall distance, and chest expansion. Associations were examined using Spearman correlation and multivariate linear regression analyses including demographic variables.

resultsPtGA showed strong correlations with depressive symptoms (ρ = 0.61, p < 0.001) and fatigue (ρ = 0.53, p < 0.001), while correlations with inflammatory markers were weak. In multivariate analyses, BDI (β = 0.087, p < 0.001), fatigue (β = 0.015, p = 0.002), ESR (β = 0.040, p = 0.001), disease duration (β =  - 0.068, p = 0.036), and tragus-to-wall distance (β = 0.069, p = 0.040) remained independently associated with PtGA (adjusted R

conclusionPatient and physician global assessments capture distinct clinical domains in axSpA. PtGA is predominantly influenced by psychological burden and fatigue, whereas PhGA is more strongly associated with structural impairment and inflammatory burden. These findings highlight the multidimensional nature of disease perception and support domain-targeted clinical evaluation. Key Points • Patient and physician global assessments in axial spondyloarthritis reflect partially overlapping but distinct clinical domains. • Patient global assessment is primarily driven by depressive symptoms and fatigue rather than objective inflammatory or structural parameters. • Physician global assessment is independently associated with spinal mobility impairment and inflammatory burden. • Interpreting PG-MD differences as domain-specific weighting rather than discordance may improve multidimensional disease assessment.

Indexed as

Axial SpondyloarthritisPatient Reported Outcome MeasuresAdultBlood SedimentationC-Reactive ProteinCross-Sectional StudiesDepressionFatigueFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSeverity of Illness IndexC-Reactive ProteinAxial spondyloarthritisDepressionDisease activityFatigueInflammationPatient global assessmentPhysician global assessmentSpinal mobility

Identifiers

PMID42342980
PMCPMC13486098

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.