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Understanding Referral and Diagnostic Pathways for Giant Cell Arteritis

2025· article· en· W4411884422 on OpenAlexaffvenueabout
Vanessa Kissner, Steven E. Katz, Alison Clifford

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineGiant cell arteritisPolymyalgia rheumaticaRheumatologyReferralInternal medicineTriageVasculitisPediatricsEmergency medicineDiseaseFamily medicine

Abstract

fetched live from OpenAlex

Objectives Giant cell arteritis (GCA) is considered a rheumatologic emergency due to early risks of vision loss and stroke. At our center, there is currently no standard pathway for referral or diagnostic testing of GCA, which may result in diagnostic delays and/or unnecessary exposure to prednisone. The aim of this study was to better understand the pathways followed by patients referred for suspected GCA to identify barriers to care and areas for improvement. Methods Charts of patients referred to University of Alberta Rheumatology for query GCA between January 2022 and January 2024 were retrospectively reviewed. Second opinions and transfer of care referrals were excluded. Patient demographics, number of days between referral and first Rheumatology visit, types of diagnostic tests ordered (imaging, labs, biopsies), time to confirmation/exclusion of diagnosis of GCA (days) and cumulative exposure to prednisone until diagnosis determined (mg) were recorded. Data was analyzed using descriptive statistics. Results Of 779 patients with a triage diagnosis of vasculitis or polymyalgia rheumatica, 81 new referrals for query GCA were identified. Of these 81, 60 (74.1%) were women and mean age was 72.1 (±10.3) years. Most were referred by family medicine (36, 44.4%), ophthalmology (14, 17.3%), and emergency medicine (14, 17.3%). The median time between referral and first rheumatology visit was 9 (0-113) days. The most frequently ordered diagnostic test was temporal artery biopsy (66, 81% of patients), followed by PET scan (32, 39.5%), and temporal artery ultrasound (3, 3.7%). Ultimately, a diagnosis of GCA was made in 53 (65.4%) of referred patients [confirmed by either biopsy or imaging in 38 (47%) or clinically diagnosed in the absence of a positive test in 15 (18.5%)] and excluded in 28 (34.6%). The median time between Rheumatology referral to the result of first confirmatory test was 13 (3-529) days, and median time to exclusion of GCA diagnosis was 25 (0-189) days. Ultimately, 66 (81%) patients received prednisone while work-up was performed, with side effects reported in 42 (63.6%). The median cumulative prednisone exposure to those in whom GCA was ultimately excluded was 785 (0-4890) mg. Conclusion Of patients referred to rheumatology for suspected GCA, the diagnosis was confirmed by testing in 47%, made clinically in 18%, and excluded in 35%. There was wide variability in time to confirmation/exclusion of diagnosis, during which patients received large amounts of prednisone. These findings indicate the need for a standard referral/diagnostic pathway to expedite testing and reduce unnecessary exposure to high dose prednisone.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.266
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes3
Has abstractyes

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