ArticleFrontiers in immunology2024
Impact of Janus kinase inhibitors and methotrexate on interstitial lung disease in rheumatoid arthritis patients.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Recent Knowledge Regarding the Epidemiology, Exacerbating Factors, and Treatment of Rheumatoid Arthritis Complicated by Interstitial Lung Disease.Journal of clinical medicine · 2026Review
- Efficacy of Janus kinase inhibitors in the treatment of acute exacerbations of rheumatoid arthritis-associated interstitial lung disease: a retrospective observational case series.Frontiers in immunology · 2026Observational
- Pathogenesis and immune regulation of rheumatoid arthritis-associated interstitial lung disease: from basic research to clinical implications.Frontiers in immunology · 2026Review
- Fibrosis in Immune-Mediated and Autoimmune Disorders.Journal of clinical medicine · 2025Review
- Role of Interleukin-6 in Rheumatoid Arthritis-Associated Interstitial Lung Disease: Focus on the JAK/STAT Pathway and Macrophage Polarization.Journal of inflammation research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Little is known about how various treatments impact the progression of interstitial lung disease (ILD) in rheumatoid arthritis (RA) patients. Here, we compared ILD progression in RA patients treated with Janus kinase inhibitors (JAKi) or biological disease-modifying anti-rheumatic drugs (bDMARDs). Methods: This retrospective study included 93 RA-ILD patients who initiated treatment with JAKi, tumour necrosis factor inhibitors (TNFi), or abatacept between 2017 and 2020. Worsening ILD was quantified by changes in chest computed tomography (CT) scans between baseline and follow-up (mean 14 months, range 6-51 months). Response to treatment was evaluated using Disease Activity Score-28 with erythrocyte sedimentation rate (DAS28-ESR). Expression of the EMT marker N-cadherin in A549 lung cells was assessed by western blotting. Results and discussion: Worsening ILD was detected in 19.4% (7/36), 16.7% (5/30), and 22.2% (6/27) of patients treated with JAKi, abatacept, and TNFi, respectively. Multivariate analysis identified female gender (P=0.043) and >10% fibrotic lesions (P=0.015) as significant predictors of worsening ILD. DAS28-ESR-based non-responder status was also significantly associated with worsening ILD (P=0.0085). In vitro, combination treatment with methotrexate and baricitinib significantly impeded EMT progression. Worsening ILD was associated with more extensive fibrotic lesions at baseline and female gender in RA patients treated with JAKi or bDMARDs. JAKi and methotrexate co-treatment may prove beneficial in modifying key events underlying the pathogenesis of RA-ILD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.