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Record W4411431264 · doi:10.1016/j.ard.2025.06.118

POS0758 EFFECTIVENESS AND SAFETY OF JANUS KINASE INHIBITORS IN GIANT CELL ARTERITIS. REAL-WORLD CLINICAL PRACTICE STUDY AND LITERATURE REVIEW

2025· article· en· W4411431264 on OpenAlexaboutno aff
F. López-Gutiérrez, J. Loricera, Toyin Tofade, D. Prieto-Peña, Susana Romero-Yuste, E. De Miguel, Anne Riveros-Frutos, D. Freites, Iván Ferraz‐Amaro, S. Castañeda, E. Labrador-Sánchez, O. Maíz, F. García, E. Galíndez-Agirregoikoa, I. González, Ana Urruticoechea‐Arana, A. Ramos Calvo, P. Moya, Sebastian Unizony, Ricardo Blanco

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGiant cell arteritisJanus kinasePathologyInternal medicineVasculitisDisease

Abstract

fetched live from OpenAlex

Background: Patients with giant cell arteritis (GCA) can relapse despite glucocorticoids, methotrexate and tocilizumab treatment. The JAK/STAT signalling pathway is involved in the pathogenesis of GCA, and JAK inhibitors (JAKi) are a potential treatment alternative. Objectives: To evaluate the effectiveness and safety of JAKi in GCA. Methods: Real-world, retrospective clinical practice study of patients with GCA treated with JAKi. Outcomes assessed included clinical remission and EULAR remission (clinical remission+CRP and ESR normalization), disease relapse and safety. A literature search for other JAKi-treated GCA cases was conducted in PubMed from inception to 11/30/2024. Results: We include 40 patients (35 females/87.5%), mean age, 72.2 years, relapsing disease 40 (100%) that received JAKi. The initial JAKi was baricitinib (n=15), tofacitinib (n=10) and upadacitinib (n=15) (Table 1 and Figure 1). After a mean±SD follow-up of 12.4±6.8 months, 24 (60%) achieved a maintained remission, and 16 (40%) patients discontinued the initial JAKi due to relapse (n=12, 30%) or severe adverse events (SAEs) (n=4, 10%) including elevation of liver enzymes (n=1), disseminated herpes zoster (n=1), glioblastoma multiforme (n=1), and palpitations/dyspnea (n=1). Two patients developed an urinary tract infection and one patient anemia without requiring permanent JAKi discontinuation. The 12 patients failing the initial JAKi were switched to an alternative JAKi (n=2), biologic therapy (n=8) and azathioprine (n=1). One patient discontinued JAKi therapy due to sustained remission. The literature review identified another 37 GCA patients (26 females, mean age 71.4 years) treated with JAKi, mostly with baricitinib (n=35). Most of these patients benefited from JAKi therapy (Table 1). With respect to relevant adverse events, one patient suffered an Aspergillus fumigatus infection, other patient an Enterococcus faecalis bacteremia, and other thrombocytopenia (Table 1). Conclusion: This real-world analysis suggests that JAKi could be effective and relatively safe in GCA, including patients failing to other immunosuppressive therapies. REFERENCES: [1] Calderón-Goercke M, et al. Clin Exp Rheumatol. 2023 Apr;41(4):829-836. doi: 10.55563/clinexprheumatol/oqs8u9. [2] Loricera J et al. Clin Exp Rheumatol. 2014 May-Jun;32(3 Suppl 82):S79-89. Epub 2014 May 15. PMID: 24854377. [3] Prieto Peña D, et al. Clin Exp Rheumatol. 2021 Mar-Apr;39 Suppl 129(2):69-75. [4] Loricera J, et al. Ther Adv Musculoskelet Dis. 2022 Jul 22;14:1759720X221113747. doi: 10.1177/1759720X221113747. Figure 1Flow chart of the 40 GCA patients treated with JAKi. Table 1Current series and literature review of patients with GCA treated with JAKi.ReferenceNumber of casesSexAge,mean±SDJAKi receivedPrevious conventional synthetic immunosuppressive drugsPrevious biologic drugsFollow-up (months), mean±SDOutcomeAdverse eventsHerlihy et al1Female75RuxolitinibMethothrexate, mycophenolate mophetilNone9No outcome data reportedNonePrigent et al1Female76BaricitinibMethothrexateTocilizumab12Clinical improvementNoneSanada et al1Female72UpadacitinibSulfasalazineNone7.5Clinical improvementNoneCamellino et al4Female (n=4)70.5±11.7Baricitinib (n=4)Methothrexate (n=2), hydroxychloroquine (n=1), sulfasalazine (n=1), cyclosporine (n=1), mycophenolate mophetil (n=1)Tocilizumab (n=4)21.5±13.0; (no data in 1 patient)Clinical improvement (n=2); no clinical improvement (n=2)NoneKoster et al15Female (n=11), male (n=4)72.4±7.2Baricitinib (n=15)Methothrexate (n=2), Cyclophosphamide (n=1)Sirukumab (n=1)11.3±2.3Clinical improvement (n=13); no improvement (n=1); no outcome data reported (n=1)Thrombocytopenia (n=1), infections not requiring antibiotics (n=8), infections requiring antibiotics (n=5), nausea (n=6), leg oedema (n=2), fatigue (n=2), diarrhoea (n=1), abdominal pain (n=1), herpes zoster (n=1)Eriksson et al15Female (n=8), male (n=3)70.2±6.0Baricitinib/ tofacitinibMethotrexate (n=3)Tocilizumab (n=3), infliximab (n=1)19±10.5Clinical improvement (n=15)Aspergillus fumigatus infection (n=1); Enterococcus faecalis bacteriemia (n=1)Current series40Female (n=35), male (n=5)72.2±7.9Baricitinib (n=15), tofacitinib (n=10), upadacitinib (n=15)Methothrexate (n=25), hydroxychloroquine (n=3),leflunomide (n=1)Tocilizumab (n=29), sarilumab (n=3), abatacept (n=8), adalimumab (n=2), ustekinumab (n=2)12.4±6.9Clinical improvement (n=24); no improvement (n=12)Urinary tract infection (n=2); anemia (n=1); elevation of liver enzymes (n=1); palpitations (n=1); dyspnea (n=1), disseminated herpes zoster (n=1); glioblastoma multiforme (n=1) Acknowledgements: NIL . Disclosure of Interests: Fernando López-Gutiérrez Abbvie, Roche, Novartis, MSD, UCB Pharma, Celgene, Lilly, Pfizer, Galápagos, Javier Loricera Roche, Galápagos, Novartis, UCB Pharma, MSD, Celgene, Astra Zeneca, and Grünenthal, Janssen, Abbvie, Roche, Novartis, MSD, UCB Pharma, Celgene, Lilly, Pfizer, Galápagos, Toluwalase Tofade: None declared, Diana Prieto-Peña: None declared, Susana Romero-Yuste: None declared, Eugenio De Miguel: None declared, Anne Riveros-Frutos: None declared, Dalifer Freites Nuñez: None declared, Iván Ferraz-Amaro: None declared, Santos Castañeda: None declared, Eztizen Labrador-Sánchez: None declared, Olga Maiz: None declared, Francisco Javier Narváez Garcia: None declared, Eva Galíndez-Agirregoikoa: None declared, Ismael González: None declared, Ana Urruticoechea-Arana: None declared, Angel Ramos Calvo: None declared, Patricia Moya: None declared, Sebastian Unizony: None declared, Ricardo Blanco AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, Lilly, UCB, and MSD, AbbVie, MSD, and Roche. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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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)0.005
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0080.010
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.374
Teacher spread0.352 · 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 routes1
Has abstractyes

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