Evidence map›Paper›PMID 42756649›Full record

ArticleTherapeutic advances in musculoskeletal disease2026

Predictors of intramuscular glucocorticoid bridge therapy failure in rheumatoid arthritis: a real-world observational study.

Wenhui Xie, Dai Gao, Hong Huang, Zhuoli Zhang

Abstract read
In one paragraph

Article in Therapeutic advances in musculoskeletal disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Wenhui XieDepartment of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-3881-0266
Dai GaoDepartment of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing, China.
Hong HuangDepartment of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-1468-1586
Zhuoli ZhangDepartment of Rheumatology and Clinical Immunology, Peking University First Hospital, No. 8, Xishiku Street, West District, Beijing 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intramuscular glucocorticoid (GCs) bridge therapy is an equivalently recommended bridging strategy to oral GCs for rheumatoid arthritis (RA) under predefined tapering and discontinuation schemes. Objectives: We aimed to investigate the risk factors of intramuscular GCs bridge therapy failure in RA. Design: A retrospective analysis of collected data on RA patients initiating intramuscular betamethasone as bridging therapy. Methods: In this longitudinal real-world cohort study, 153 RA patients initiating intramuscular betamethasone as bridging therapy combined with csDMARDs (without concurrent biologics/JAK inhibitors) were included. Bridging strategy success under required: (1) GCs discontinuation within 3 months; (2) remission or low disease activity at discontinuation; (3) sustained control without short-term relapse post-discontinuation; (4) no transition to oral GCs and no initiation of b/tsDMARDs during the bridging period. Failure encompassed all other outcomes. Independent predictors were identified via multivariate logistic regression. Results: Among 153 patients receiving intramuscular betamethasone as bridging therapy, 94 (61.4%) experienced bridge therapy failure versus 59 (38.6%) successes. The most common mode for bridging therapy failure was transition to oral GCs ( Conclusion: High disease activity and concurrent leflunomide use at GCs initiation independently predict failure of intramuscular GCs bridge therapy in RA. Early risk stratification may optimize induction therapy selection and potentially improve bridge therapy success rates.

Indexed as

bridging therapycohort studydiscontinuationglucocorticoidsrheumatoid arthritis

Identifiers

PMID42756649
PMCPMC13583273

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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.