Evidence map›Paper›PMID 42416760›Full record

ReviewMaedica2026

Obesity and Risk of Pediatric-Onset Multiple Sclerosis (POMS): a Systematic Review and Meta-Analysis.

Sanaz Mehrabani, Narges Ebrahimi, Mohsen Rastkar, Mahsa Ghajarzadeh

Abstract readReview
In one paragraph

Review in Maedica, 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

4 authors.

Sanaz MehrabaniAssociate Professor of Pediatrics Gastroenterology, Non-Communicable Pediatric Diseases Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Narges EbrahimiSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohsen RastkarStudent's Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mahsa GhajarzadehMultiple Sclerosis Research Group (MSRG), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childhood obesity is a health care problem with increasing incidence all over the world. The literature shows that obesity in childhood will increase the risk of MS, but the results are not consistent. Accordingly, we conducted this systematic review and meta-analysis to quantify the pooled risk of developing multiple sclerosis (MS) among children with obesity. Methods: Two independent researchers systematically searched PubMed, Scopus, EMBASE, Web of Science and Google Scholar on May 1, 2023. Gray literature was also searched, including theses, reference lists of included studies and conference abstracts. Results: The literature search identified 4,100 articles. After removing duplicates, 2,539 unique records remained. Of these, four studies met the eligibility criteria and were included in the meta-analysis. Two studies were done in the UK, one study was carried out in Germany and the fourth one was conducted in Saudi Arabia. The publication period was between 2019 and 2022. The total number of cases and controls was 17812 and 660757, respectively. The odds ratio (OR) of included studies ranged between 1.26-3.79 and the estimated pooled OR was 1.67 [95% confidence interval (CI) 1.25-2.24] (I2=84.2%, p<0.001). Conclusion: The results of this systematic review and meta-analysis show that the pooled OR of developing MS in children with obesity is significantly high.

Indexed as

multiple sclerosisobesitypediatric

Identifiers

PMID42416760
PMCPMC13325890

What OpenQuestion holds

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Read underepoch 390

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.