Evidence map›Paper›PMID 42609299›Full record

SynthesisFrontiers in medicine2026

The efficacy of complementary and alternative medicine non-pharmacological interventions in improving disease activity and inflammation in ankylosing spondylitis: a network meta-analysis.

Qianyiqi He, Long Qu, Mengling Sun, Huiyu Li, Liang Sun, Wei Cao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 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

6 authors.

Qianyiqi HeHeilongjiang Academy of Traditional Chinese Medicine, Harbin, China.
Long QuHeilongjiang Provincial Hospital of Traditional Chinese Medicine, Harbin, China.
Mengling SunHeilongjiang Academy of Traditional Chinese Medicine, Harbin, China.
Huiyu LiHeilongjiang Academy of Traditional Chinese Medicine, Harbin, China.
Liang SunHeilongjiang Academy of Traditional Chinese Medicine, Harbin, China.
Wei CaoHeilongjiang Academy of Traditional Chinese Medicine, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Ankylosing spondylitis (AS), a chronic progressive autoimmune disease primarily affecting the axial joints, frequently causes symptoms such as pain, stiffness, and functional limitations. In recent years, complementary and alternative medicine (CAM) non-pharmacological therapies have gained increasing recognition within the academic community for their potential efficacy in alleviating AS symptoms. This study aims to evaluate the effectiveness of CAM therapies in relieving AS symptoms. Methods: This systematic review was prospectively registered in the International Prospective Register of Systematic Reviews (PROSPERO; registration number: CRD420261323792). A comprehensive search of English and Chinese databases was conducted from their inception until 1 January 2026. Search criteria focused on prospective controlled trials of CAM therapies for AS patients. Statistical analysis employed mean values and standard deviations. Additionally, study quality and potential bias were assessed. Results: Thirty-one randomized controlled trials involving 2,459 patients with ankylosing spondylitis and 15 complementary and alternative medicine interventions were included. The network meta-analysis (NMA) revealed that, compared with conventional therapy, AI (MD = -1.81, 95% CI [-2.90, -0.73]), Acu (MD = -1.63, 95% CI [-2.85, -0.41]), Moxibustion (MD = -1.51, 95% CI [-2.58, -0.44]), and Moxibustion + Cupping (MD = -1.05, 95% CI [-2.07, -0.03]) demonstrated statistically significant improvements in BASDAI scores. Regarding functional status (BASFI), several CAM interventions showed favorable trends, although further evaluation is required. For pain relief (VAS), IH (MD = -1.75, 95% CI [-2.98, -0.52]), AA (MD = -1.37, 95% CI [-2.46, -0.28]), Acu (MD = -1.05, 95% CI [-2.03, -0.07]), and Moxibustion (MD = -0.76, 95% CI [-1.46, -0.06]) demonstrated statistically significant improvements compared with conventional therapy. Regarding inflammatory markers, Moxibustion (CRP: MD = -40.69, 95% CI [-76.83, -4.55]) showed a statistically significant reduction in C-reactive protein levels compared with conventional therapy. SUCRA probability ranking suggested that some CAM interventions had higher probabilities of achieving favorable outcomes; however, these rankings should be interpreted cautiously because they represent relative probabilities rather than definitive evidence of clinical superiority. The observed differences among interventions should primarily be considered together with effect estimates, confidence intervals, and clinical relevance to determine their true clinical effectiveness and safety. Conclusion: Moxibustion combined with cupping showed a favorable probability of improving pain outcomes; however, this finding requires confirmation due to limited certainty of evidence. Several CAM interventions demonstrated potential benefits in improving disease-related outcomes, including disease activity, pain, and inflammatory markers. However, the safety profile of CAM interventions should be interpreted cautiously because adverse events were incompletely reported among the included studies. Overall, the available evidence does not allow definitive conclusions regarding the safety of CAM therapies in patients with ankylosing spondylitis. Systematic review registration: CRD420261323792; https://doi.org/10.37766/inplasy2025.12.0043.

Indexed as

ankylosing spondylitisASCAMcomplementary and alternative medicineefficacynetwork meta-analysisNMA

Identifiers

PMID42609299
PMCPMC13477885

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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.