Evidence map›Paper›PMID 40183114›Full record

ArticleTherapeutic advances in musculoskeletal disease2025

Non-pharmacological interventions for patients with axial spondyloarthritis: a meta-analysis.

Lidong Hu, Xingkang Liu, Xiaojian Ji, Yiwen Wang, Jiaxin Zhang, Lulu Zeng, Yangqin Xun, Jianglin Zhang, Jian Zhu, Feng Huang

Abstract read
In one paragraph

Article in Therapeutic advances in musculoskeletal disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

10 authors.

Lidong HuDepartment of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0009-0007-0708-3581
Xingkang LiuDepartment of Rehabilitation Medicine, The Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiaojian JiDepartment of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Yiwen WangDepartment of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jiaxin ZhangDepartment of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Lulu ZengDepartment of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Yangqin XunSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jianglin ZhangDepartment of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jian ZhuDepartment of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Feng HuangDepartment of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-pharmacological interventions (NPIs) are recommended in current international clinical practice guidelines for the management of axial spondyloarthritis (axSpA) as a complementary therapy. Objectives: To assess the comparative impact of different NPIs on the clinical outcomes of patients with axSpA. Design: Network meta-analysis and traditional meta-analysis of randomized controlled trials (RCTs). Data sources and methods: We searched systematically PubMed, EMBASE, the Cochrane Library, Web of Science, and Chinese Biological Medical Database up to May 2023, and included these RCTs of patients with axSpA receiving the managements of NPIs. The risk of bias of individual RCT was assessed through a modified version of the Cochrane Risk of Bias Tool. Bayesian random-effects network meta-analysis and traditional meta-analysis were performed to calculate the mean difference. Results: A total of 51 RCTs involving 3457 patients with axSpA were included in this study. Both supervised combined exercises and neuromuscular training showed a significant reduction in disease activity (Bath Ankylosing Spondylitis Disease Activity Index (BASDAI): 1.13 lower, 1.17 lower, respectively), physical function (Bath Ankylosing Spondylitis Functional Index (BASFI): 1.0 lower, 0.88 lower, respectively), and spinal mobility (Bath Ankylosing Spondylitis Metrology Index (BASMI): 0.7 lower, 1.35 lower, respectively), compared to standard care. Both supervised combined exercises and neuromuscular training also presented more significant improvement than conventional exercises in disease activity (BASDAI: 0.91 lower, 0.95 lower, respectively), physical function (BASFI: 0.67 lower, 0.56 lower, respectively), and spinal mobility (BASMI: 0.18 lower, 0.82 lower, respectively). A traditional meta-analysis demonstrated that supervised combined exercise and neuromuscular training could significantly reduce BASDAI, BASFI, and BASMI scores when compared to unsupervised exercise or standard care. Aerobic exercise, supervised combined exercise, and conventional exercise could significantly reduce pain scores, compared to standard care. Conclusion: Compared to either standard care or conventional exercises, supervised combined exercises and neuromuscular training were more beneficial for ameliorating disease activity, physical function, and spinal mobility in patients with axSpA. The choice of exercise modalities may depend on patient values and preferences. Trial registration: PROSPRO: CRD42021251219.

Indexed as

axial spondyloarthritisefficacymeta-analysisnon-pharmacological interventions

Identifiers

PMID40183114
PMCPMC11967214

What OpenQuestion holds

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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.