Evidence map›Paper›PMID 41869269›Full record

ReviewOrthopedic research and reviews2026

Research Advances on the Mechanism and Diagnosis of Bone Bridging in Ankylosing Spondylitis.

Minghao Wang, Zhiqiang Liang

Abstract readReview
In one paragraph

Review in Orthopedic research and reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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

2 authors.

Minghao WangDepartment of Rheumatology, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, People's Republic of China.ORCID 0009-0002-8203-2913
Zhiqiang LiangDepartment of Rheumatology, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, People's Republic of China.ORCID 0009-0009-6398-6878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ankylosing spondylitis (AS) is a chronic immune-mediated inflammatory disease characterized by progressive pathological new bone formation and bone bridging, ultimately leading to spinal ankylosis and functional disability. Bone bridging is a hallmark structural manifestation of AS, yet its underlying mechanisms and optimal diagnostic strategies remain incompletely understood. This review summarizes recent advances in the genetic, immunological, and molecular drivers of bone bridging in AS. We highlight HLA-B27-associated endoplasmic reticulum stress, dysregulated inflammatory cytokines (e.g. interleukin-17 and tumor necrosis factor-α), and aberrant activation of osteogenic signaling pathways, including Wnt/β-catenin, RANK/RANKL/OPG, and bone morphogenetic protein signaling. Collectively, these interconnected processes disturb the balance between inflammation and bone remodeling, promoting ectopic ossification at entheseal and spinal sites. In parallel, we review progress in imaging-based assessment, emphasizing low-dose computed tomography, MRI-based synthetic CT, and artificial intelligence-driven radiomics for sensitive detection and quantitative evaluation of early structural changes beyond conventional radiography. Clinically, integrating mechanistic insights with advanced imaging and radiomics may enable earlier detection, risk stratification, and precision monitoring of structural progression in AS. Overall, this review provides an integrated framework to support the development of earlier diagnostic strategies and precision-targeted interventions aimed at mitigating irreversible spinal ankylosis.

Indexed as

ankylosing spondylitisbone bridgingHLA-B27osteoblastsprecision medicineradiomicssignaling pathways

Identifiers

PMID41869269
PMCPMC13004125

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Registered trials

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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.