ArticleRMD open2018
Latent profile analysis approach to the relationship between patient and physician global assessments of rheumatoid arthritis activity.
Article in RMD open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Associations between Patient Global Assessment scores and pain, physical function, and fatigue in rheumatoid arthritis: a post hoc analysis of data from phase 3 trials of tofacitinib.Arthritis research & therapy · 2020Trial
- Article
- Comparison of Remission Criteria in Patients with Rheumatoid Arthritis: Results from a Smart System of Disease Management Group.Journal of inflammation research · 2024Article
- Remission or Not Remission, That's the Question: Shedding Light on Remission and the Impact of Objective and Subjective Measures Reflecting Disease Activity in Rheumatoid Arthritis.Rheumatology and therapy · 2022Article
- Testing different thresholds for patient global assessment in defining remission for rheumatoid arthritis: are the current ACR/EULAR Boolean criteria optimal?Annals of the rheumatic diseases · 2020Article
- Latent profile analysis of emergency department presentation characteristics in patients with acute ischemic stroke.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePatients and physicians commonly differ in their assessments of rheumatoid arthritis (RA) activity. Clinically meaningful discordance thresholds or validation of their ability to predict functional outcomes are lacking. We explored whether an unbiased, person-centred latent profile analysis (LPA) approach could classify cases based on patient global assessment (PtGA) and physician global assessment (MDGA) assessments of RA activity. We further examined whether the LPA groups displayed greater differences in clinical outcomes compared with traditional threshold-based groups. Finally, we evaluated whether LPA yielded higher explanatory power for clinical outcomes.
methodsLPA was performed in 618 patients with established RA from a single centre. A threshold-based discordance definition was used as a comparator, with patients classified into concordant (PtGA-MDGA within ± 3 cm), positively discordant (PtGA-MDGA ≥3 cm) and negatively discordant groups (PtGA-MDGA ≤-3 cm).
resultsLPA yielded five distinct groups: low PtGA/low MDGA (35.9%), moderate PtGA/moderate MDGA (18.6%), high PtGA/high MDGA (14.7%), high PtGA/low MDGA (23.3%) and low PtGA/high MDGA (7.4%). Groups differed across clinical, physical function, pain, fatigue, health-related quality of life, work productivity and activity impairment outcomes (p<0.001). Concordance groups, in particular, displayed marked heterogeneity in outcomes depending on the magnitude of disease activity reported, with the low/low group faring the best (p<0.001). The LPA solution demonstrated superior explanatory power for all outcomes (p<0.001).
conclusionsWe confirmed the validity and advantages of LPA in characterising the relationship between PtGA and MDGA over a conventional threshold-based definition. LPA yielded optimally distinct, clinically meaningful and cohesive groupings, demonstrating superior explanatory power for disease-related outcomes of interest.
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