Evidence map›Paper›PMID 40591037›Full record

ReviewCurrent rheumatology reports2025

Spondyloarthritis Research and Treatment Network (SPARTAN) Clinical and Imaging Year in Review 2024.

Renato Ferrandiz-Espadin, Jean W Liew

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Renato Ferrandiz-EspadinDepartment of Internal Medicine, North Alabama Medical Center, Florence, AL, USA.ORCID http://orcid.org/0000-0001-6104-2712
Jean W LiewSection of Rheumatology, Boston University Chobanian & Avedisian School of Medicine, 650 Albany Street, Boston, MA, 02118, USA. jwliew@bu.edu.ORCID http://orcid.org/0000-0002-8104-2450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewDiagnostic delay remains a critical challenge in axial spondyloarthritis (axSpA). This review highlights key clinical and imaging research from 2024 that addresses this persistent issue, with a focus on the evolving roles of MRI, artificial intelligence (AI), and updated Canadian management recommendations. RECENT

findingsMultiple studies published in 2024 emphasized the continued problem of diagnostic delay in axSpA. Studies support the continued use of sacroiliac joint MRI as a central diagnostic tool for axSpA, particularly in patients with chronic back pain and associated conditions like uveitis, psoriasis (PsO), or inflammatory bowel disease. AI-based tools for interpreting sacroiliac joint MRIs demonstrated moderate agreement with expert assessments, offering a potential solution to variability and limited access to expert musculoskeletal radiology. These innovations may support earlier diagnosis and reduce misclassification. Innovative models of care, including patient-initiated telemedicine visits, reduced in-person visit frequency without compromising clinical outcomes in patients with stable axSpA. Updated Canadian treatment guidelines introduced more robust data on Janus kinase (JAK) inhibitors and offered stronger support for tapering biologics in patients with sustained low disease activity or remission, while advising against abrupt discontinuation. This clinical and imaging year in review covers challenges and innovations in axSpA, emphasizing the need for early access to care and the development of tools to support prompt diagnosis and sustained continuity of care.

Indexed as

Axial SpondyloarthritisSacroiliac JointSpondylarthritisArtificial IntelligenceCanadaDelayed DiagnosisHumansMagnetic Resonance ImagingAccess to healthcareAxSpADelayed diagnosisMRI

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.