Evidence map›Paper›PMID 41488197›Full record

ArticleRheumatology advances in practice2026

Axial spondyloarthritis treatment patterns, clinical characteristics and patient-reported outcome collection in US rheumatology practices.

Andrew Concoff, Riley Taiji, Linda Grinnell-Merrick, Jonathan Rodrigues, Courtney McDermott, Rachelle Haber, Raluca Ionescu-Ittu, Ariane Faucher, Francis Vekeman, Tim Nguyen

Abstract read
In one paragraph

Article in Rheumatology advances in practice, 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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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Andrew ConcoffSpecialty Networks Rheumatology, Cleveland, OH, USA.
Riley TaijiStatlog Inc, Montreal, QC, Canada.
Linda Grinnell-MerrickNovartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
Jonathan RodriguesNovartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
Courtney McDermottNovartis Ireland Ltd, Dublin, Ireland.
Rachelle HaberStatlog Inc, Montreal, QC, Canada.
Raluca Ionescu-IttuStatlog Inc, Montreal, QC, Canada.
Ariane FaucherStatlog Inc, Montreal, QC, Canada.
Francis VekemanStatlog Inc, Montreal, QC, Canada.
Tim NguyenNovartis Pharmaceuticals Corporation, East Hanover, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate real-world treatment patterns, patient-reported outcome (PRO) collection practices and clinical outcomes among patients newly diagnosed with axial spondyloarthritis (axSpA) in a major US rheumatology network. Methods: Patients diagnosed with axSpA between 1 January 2016 and 7 November 2022 were identified in the United Rheumatology Normalized Integrated Community Evidence clinical data repository. Patient demographic and clinical characteristics were assessed for the 12 months before the first diagnosis (index date). Treatment patterns, PRO collection and clinical outcomes were assessed for the 12 months after diagnosis. Baseline characteristics and study outcomes are reported using descriptive statistics. Cumulative incidence of post-index clinical events is also reported. Results: Overall, 2641 patients newly diagnosed with axSpA were included. Most (87%) initiated axSpA medications within 1 year of diagnosis and 73% initiated treatment within 1 month. Biologics were prescribed as first-line therapy, alone or in combination, in 47%. Approximately half (52%) received one or more PRO assessment; most common were the Routine Assessment of Patient Index Data 3 (45%) and BASDAI (16%). PRO collection frequency met guidelines (two or more assessments in 12 months) in 38%. axSpA-related clinical events occurred in 19% of patients within 1 year of diagnosis. Conclusion: Patients recently diagnosed with axSpA often initiated a biologic-containing treatment regimen as first-line therapy, contributing to improved symptom management compared with those without biologic treatment. More than half of patients did not receive guideline-recommended PRO assessments, highlighting the opportunity for increased symptom monitoring to guide clinical decision-making.

Indexed as

ankylosing spondylitisaxial spondyloarthritisbiologic therapypatient-reported outcome measuresreal-world data

Identifiers

PMID41488197
PMCPMC12758119

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