SCIENTIFIC HUB

Follow the evidence.

SCIENTIFIC LITERATURE · MED

Sex and gender-related differences in neurological diseases: current challenges and recommendations for clinical practice.

Neurol Sci · 2026-01-06

DOI: 10.1007/s10072-025-08623-8PMID: 41493656

Open accessresearch-article; Review; Journal ArticleOriginal source ↗

Research overview

The text below is the source article’s original abstract under a verified reuse license. cc by

Neurological diseases include a large variety of conditions ranging from inflammatory, vascular and neurodegenerative disorders to epilepsy and headache. The impact of sex and gender on various aspects of these conditions (epidemiology, risk factors, pathophysiology, clinical features, treatment, and management of pregnancy and breastfeeding) is still not entirely taken into consideration, despite a rapidly increasing body of evidence. This position paper covers six neurological conditions (Alzheimer's Disease, Cerebrovascular disease, Parkinson's disease, Epilepsy, Headache disorders, Multiple Sclerosis) providing an overview of available evidence on sex and gender differences, identifying knowledge gaps and providing recommendations for clinical practice and future studies. We recommend taking into consideration modifiable sex and gender specific risk factors, the role of hormones across women's lifespan and a personalized treatment approach based on gender. We also recommend that future efforts should be devoted to increase the representation of women in clinical studies, to promote sex and gender-based guideline production and to better characterize the safety profile in pregnancy of newer drugs.

Scientific assessment

01

Research question

Assess the question within the original study’s scope.

02

Methods & sample

Check the source article for study design and sample details.

03

Key findings

An editorially approved findings summary is not yet published for this record.

04

Limitations

Generalizability, bias and clinical meaning require separate assessment.

Methods, samples and clinical conclusions are not inferred from bibliographic metadata.