Evidence map›Paper›PMID 41948090›Full record

ArticleBMJ neurology open2026

Use of complementary therapies is associated with expectations of treatment effectiveness among persons with multiple sclerosis.

Mina Stanikić, Nina Steinemann, Jesús López-Alcalde, Claudia Canella, Jürgen Barth, Andrew Chan, Patrick Roth, Pasquale Calabrese, Chiara Zecca, Claudio Gobbi and 9 more

Abstract read
In one paragraph

Article in BMJ neurology open, 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

19 authors.

Mina StanikićDepartment of Epidemiology, University of Zurich Institute of Epidemiology Biostatistics and Prevention, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-6477-7164
Nina SteinemannDepartment of Epidemiology, University of Zurich Institute of Epidemiology Biostatistics and Prevention, Zürich, Switzerland.
Jesús López-AlcaldeInstitute for Complementary and Integrative Medicine, University Hospital Zurich, Zürich, Switzerland.
Claudia CanellaInstitute for Complementary and Integrative Medicine, University Hospital Zurich, Zürich, Switzerland.
Jürgen BarthInstitute for Complementary and Integrative Medicine, University Hospital Zurich, Zürich, Switzerland.
Andrew ChanDepartment of Neurology, Inselspital University Hospital Bern, Bern, Switzerland.
Patrick RothDepartment of Neurology, University Hospital Zurich, Zürich, Switzerland.
Pasquale CalabreseNeuropsychology and Behavioral Neurology Unit, University of Basel, Basel, Switzerland.
Chiara ZeccaNeurocenter of Southern Switzerland EOC, Lugano, Ticino, Switzerland.
Claudio GobbiNeurocenter of Southern Switzerland EOC, Lugano, Ticino, Switzerland.
Zina-Mary ManjalyDepartment of Neurology, Schulthess Clinic, Zurich, Switzerland.
Sabin AmmannDepartment of Epidemiology, University of Zurich Institute of Epidemiology Biostatistics and Prevention, Zürich, Switzerland.
Susanne KägiSwiss Multiple Sclerosis Society, Zürich, Switzerland.
Claudia BaumNeurology, Rehabilitation Hospital Zihlschlacht, Zihlschlacht-Sitterdorf, Switzerland.ORCID https://orcid.org/0009-0002-0656-4854
Christian P KammDepartment of Neurology, Inselspital University Hospital Bern, Bern, Switzerland.
Milo A PuhanDepartment of Epidemiology, University of Zurich Institute of Epidemiology Biostatistics and Prevention, Zürich, Switzerland.
Claudia M WittInstitute for Complementary and Integrative Medicine, University Hospital Zurich, Zürich, Switzerland.
Viktor von WylDepartment of Epidemiology, University of Zurich Institute of Epidemiology Biostatistics and Prevention, Zürich, Switzerland.
Swiss Multiple Sclerosis Registry

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Complementary therapies (CTs) are widely used among persons with multiple sclerosis (MS). Patients' expectations of treatment effectiveness are linked to CT use in the general population. However, little is known about how such expectations vary among people with MS or whether they are associated with CT use. Objectives: To identify expectation-based clusters among adults with MS, describe their characteristics and assess associations with current CT use. Methods: We conducted a cross-sectional analysis of Swiss MS Registry follow-up survey data collected between October 2022 and October 2023, exploring expectations regarding manual, mind-body, natural product-based and dietary therapies. K-means clustering was applied to eight variables assessing participants' expectations of each therapy's effectiveness for physical and psychological symptoms. Clusters were described, and associations with current CT use were analysed using log-binomial regression. Results: A total of 753 participants were classified into three expectation clusters: low (20.3%), moderate (47.6%) and high (32.1%). The low-expectation cluster included more individuals with progressive MS, severe gait disability and lowest CT use. Expectation clusters were significantly associated with current CT use. In unadjusted analyses, inclusion of the cluster variable significantly improved model fit (likelihood ratio test (LRT)=31.25, p<0.001), and participants in the moderate-expectation and high-expectation clusters were more likely to use CT compared with the low-expectation cluster (relative risk (RR) 1.60, 95% CI 1.26 to 2.04; RR: 1.80, 95% CI 1.42 to 2.30). After adjustment, the association remained significant (LRT=29.01, p<0.001), with higher likelihoods of CT use in the moderate-expectation and high-expectation clusters (adjusted RR: 1.58, 95% CI 1.24 to 2.00; RR: 1.80, 95% CI 1.41 to 2.30, respectively). Sensitivity analyses using an alternative CT outcome variable yielded consistent results. Conclusions: Expectation profiles are independently associated with CT use in MS. Addressing misalignments between patient expectations and evidence may help promote informed, evidence-based decision-making about CTs.

Indexed as

CLINICAL NEUROLOGYEVIDENCE-BASED NEUROLOGYMULTIPLE SCLEROSIS

Identifiers

PMID41948090
PMCPMC13052578

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.