Evidence map›Paper›PMID 41579245›Full record

ReviewActa neurologica Belgica2026

Obsessive-compulsive disorder in people with multiple sclerosis: a systematic review and meta-analysis.

Omid Mirmosayyeb, Homa Khodadadi, Parsa Saberian, Saeed Vaheb, Mohammad Yazdan Panah, Vahid Shaygannejad

Abstract readReview
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In one paragraph

Review in Acta neurologica Belgica, 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.

Omid MirmosayyebIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Homa KhodadadiIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Parsa SaberianIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Saeed VahebIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad Yazdan PanahIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. mohamad.yazdanpanahh@gmail.com.
Vahid ShaygannejadIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is a chronic, immune-mediated neurological disorder that is frequently associated with psychiatric comorbidities, particularly obsessive-compulsive disorder (OCD). OCD may increase psychological burden, reduce quality of life, and exacerbate disease activity in people with MS (PwMS). However, the frequency of OCD in PwMS and its association with MS remain mostly uncertain. This review aimed to estimate the overall prevalence of OCD in PwMS and to evaluate the association between MS and OCD.

methodsA comprehensive search of PubMed, Scopus, Embase, and Web of Science was conducted up to January 2025 to identify studies that assessed the frequency rate of OCD in PwMS or explored the relationship between MS and OCD. The meta-analysis was performed using a random-effects model in R version 4.4.0.

resultsTen studies on 1024 PwMS and 172 healthy controls met the inclusion criteria. The pooled prevalence of OCD among PwMS was 10.7% (95% CI: 5.6% to 15.9%, I

conclusionThis review indicated that the overall frequency 10.7% of OCD increased risk (3.2-fold) of OCD among PwMS. Screening and targeted interventions for OCD may enhance clinical outcomes and quality of life of PwMS.

Indexed as

FrequencyMultiple sclerosisObsessive-compulsive disorderRisk

Identifiers

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.