Evidence map›Paper›PMID 36602692›Full record

ReviewCurrent rheumatology reports2023

Axial Spondyloarthritis and Diagnostic Challenges: Over-diagnosis, Misdiagnosis, and Under-diagnosis.

Mohamad Bittar, Muhammad Asim Khan, Marina Magrey

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Mohamad BittarDivision of Connective Tissue Disease (Rheumatology), The University of Tennessee Health Science Center, Memphis, TN, USA.ORCID 0000-0001-9283-7462
Muhammad Asim KhanDivision of Rheumatology, Case Western Reserve University, Cleveland, OH, USA.
Marina MagreyDivision of Rheumatology, University Hospitals/Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA. Marina.Magrey@uhhospitals.org.
Case Western Reserve University · USUniversity Hospitals of Cleveland · USUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis article aims to review the challenges in axial spondyloarthritis diagnosis and identify the possible contributing factors. RECENT

findingsThe inability to reach an accurate diagnosis in a timely fashion can lead to treatment delays and worse disease outcomes. The lack of validated diagnostic criteria and the misuse of the currently available classification criteria could be contributing. There is also significant inter-reader variability in interpreting images, and the radiologic definitions of axial spondyloarthritis continue to be re-defined to improve their positive predictive value. The role of inflammatory back pain features, serologic biomarkers, genetics, and their diagnostic contribution to axial spondyloarthritis continues to be investigated. There is still a significant amount of delay in the diagnosis of axial spondyloarthritis. Appreciating the factors that contribute to this delay is of utmost importance to close the gap. It is similarly important to recognize other conditions that may present with symptoms that mimic axial spondyloarthritis so that misdiagnosis and wrong treatment can be avoided.

Indexed as

Axial SpondyloarthritisSpondylarthritisSpondylitis, AnkylosingDiagnostic ErrorsHumansMagnetic Resonance ImagingOverdiagnosisPainAnkylosing spondylitisAxial spondyloarthritisDifferential diagnosisLow-dose CTMimicsMRIRadiography

Identifiers

PMID36602692
OpenAlexW4313546129

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.