# Cognitive Impairment in Multiple Sclerosis: The Role of Clinical and Sociodemographic Factors ‐ A Systematic Review and Meta‐Analysis

**Authors:** Katalin Lugosi, Marie A. Engh, Tamás Kói, Zsolt Molnár, Gábor Csukly, Klaudia Horváth, Emma Hargitai, Péter Hegyi, Zsolt Mezei

PMC · DOI: 10.1002/acn3.70172 · Annals of Clinical and Translational Neurology · 2025-09-24

## TL;DR

This study reviews factors affecting cognitive performance in multiple sclerosis, finding that physical disability and education are key influences.

## Contribution

The study provides a systematic review and meta-analysis of clinical and sociodemographic factors impacting cognitive screening in MS.

## Key findings

- EDSS is the strongest negative correlate of SDMT performance in mixed and RRMS.
- Education shows a moderate positive correlation with SDMT performance.
- Physical disability and cognitive reserve significantly influence cognitive outcomes in MS.

## Abstract

Cognitive impairment (CI) affects the quality of life in multiple sclerosis (MS). Identifying influencing factors is key to improving CI monitoring. This systematic review and meta‐analysis examines clinical and sociodemographic variables impacting the cognitive screening Symbol Digit Modalities Test (SDMT) performance across MS subtypes, identifying subgroups at greater risk of cognitive impairment.

Registered on PROSPERO (CRD42023451696), a literature search was conducted on August 6, 2023, using PubMed, Embase, and CENTRAL. Following the PRISMA 2020 guideline, a random‐effects meta‐analysis addressed heterogeneity in correlation and meta‐regression analyses. Multivariable regression model results were qualitatively synthesized (systematic review). The JBI Critical Appraisal Tool assessed bias risk. Primary outcome was SDMT raw scores, with EDSS and disease duration as primary exposures, extended with age, sex, education, depression, fatigue, mobility scores, and treatment as secondary exposures, according to our protocol. Associations were evaluated via univariate study‐level correlations, univariate meta‐regressions, study‐level multivariable regression models, and multivariate meta‐regressions, assessing covariate interdependence. Heterogeneity was quantified with I
2. Only observational cross‐sectional data (or baseline data from longitudinal studies) were included.

A total of 155 studies with 22,828 patients were analyzed. In mixed and relapsing–remitting MS (RRMS), EDSS was the strongest negative correlate of SDMT (mixed MS: −0.44 CI:[−0.50; −0.36]; RRMS: −0.47 [−0.66; −0.23]). Education showed a moderate positive correlation (mixed MS: 0.31 [0.20; 0.42]; RRMS: 0.32 [−0.02; 0.59]). Due to cross‐sectional design, heterogeneity, and potential aggregation/ecological bias, findings are exploratory.

Poor SDMT performance is mainly driven by physical disability and cognitive reserve (education), modulated by sex, depression, and age, highlighting the need to integrate clinical and sociodemographic data in MS cognitive monitoring.

## Linked entities

- **Diseases:** multiple sclerosis (MONDO:0005301), depression (MONDO:0002050)

## Full-text entities

- **Diseases:** RRMS (MESH:D020529), depression (MESH:D003866), CI (MESH:D003072), fatigue (MESH:D005221), MS (MESH:D009103)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12790164/full.md

## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12790164/full.md

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Source: https://tomesphere.com/paper/PMC12790164