Evidence map›Paper›PMID 40879862›Full record

ArticleRheumatology and therapy2025

Patient Diagnostic Journey and Time to Diagnosis in Axial Spondyloarthritis: A Retrospective Cohort Study Using US Claims Data.

Maureen Dubreuil, Marina Magrey, Kathrin Haeffs, Evgueni Ivanov, Julie Gandrup Horan

Abstract read
In one paragraph

Article in Rheumatology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

5 authors.

Maureen DubreuilSection of Rheumatology, Boston University School of Medicine, Boston, MA, USA. mdubreui@bu.edu.ORCID http://orcid.org/0000-0002-6253-1515
Marina MagreyUniversity Hospitals, Case Western Reserve University, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-6520-5619
Kathrin HaeffsUCB, Monheim am Rhein, Germany.ORCID http://orcid.org/0009-0000-3134-7478
Evgueni IvanovUCB, Bulle, Switzerland.
Julie Gandrup HoranUCB, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-4109-4889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe journey to axial spondyloarthritis (axSpA) diagnosis is often prolonged, and delayed diagnosis has been associated with poorer outcomes and increased healthcare costs. This study aimed to characterize the patient diagnostic journey in axSpA and associated healthcare resource utilization (HCRU) and costs in the US.

methodsThis observational, retrospective US MarketScan

resultsOf 97,469 patients included, 29.0% experienced time to diagnosis of ≥ 6 years, with a mean (standard deviation) of 4.5 (2.8) years to diagnosis. Prior to axSpA diagnosis, patients saw an average of 4.57 HCPs annually and had 20.7 back pain-related visits overall for back pain-related causes. Between the earliest back pain diagnosis and axSpA diagnosis, 55.9% of patients experienced > 10 back pain consultations, and patients underwent a range of diagnostic tests and imaging procedures. The median sum of non-capitated back pain-related costs up to axSpA diagnosis was $883.19 per patient per year, plus $1127.57 per patient per year for pharmacy prescriptions.

conclusionsThis study shows that diagnostic delay is a challenge for patients with axSpA in the US, despite numerous back pain consultations, specialist visits, and diagnostic tests. These findings highlight the urgent need for strategies to enhance recognition of axSpA and improve the patient diagnostic journey.

Indexed as

Access to treatmentAxial spondyloarthritisBack painBurdenDiagnostic delayPatient journeyTime to diagnosis

Identifiers

PMID40879862
PMCPMC12450132

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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.