Evidence map›Paper›PMID 42625088›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Clinical characteristics, management and outcomes in immune checkpoint inhibitor-induced central nervous system demyelinating disease.

Zhong-Mian Ma, Wei-Bin Xie, Yan-Lei Hao, Yi-Xiao Li

Abstract readSystematic Review
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In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhong-Mian MaDepartment of Rehabilitation Medicine, Ningbo Taikang Hospital, Ningbo, 315042, China.
Wei-Bin XieDepartment of Rehabilitation Medicine, Ningbo Taikang Hospital, Ningbo, 315042, China.
Yan-Lei HaoDepartment of Neurology, Ningbo Taikang Hospital, Ningbo, 315042, China.
Yi-Xiao LiDepartment of Neurology, Ningbo Taikang Hospital, Ningbo, 315042, China. zju21918592@163.com.ORCID https://orcid.org/0000-0001-8159-3546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe expanding clinical use of immune checkpoint inhibitors (ICIs) has led to increased recognition of neurological immune-related adverse events, among which central nervous system demyelinating disease (ICI-CDD) represents a rare but clinically severe complication. Current evidence remains largely confined to case reports and small case series, highlighting the need for a comprehensive characterization of this condition.

methodsA systematic review and pooled analysis of published case reports and case series were conducted by searching English-language databases from inception to March 28, 2026, for literature related to ICI-CDD.

resultsA total of 60 patients with ICI-CDD from 39 publications were included, with a median age of 58.5 years (range: 9-81 years) and a slight male predominance (58.3%, 35/60). Most patients were seronegative for demyelinating antibodies; among those with detectable antibodies, aquaporin-4 antibody was the most common specificity. Clinical presentations included myelitis (48.3%, 29/60), optic neuritis (31.7%, 19/60), and meningoencephalomyelitis (6.7%, 4/60). Longitudinally extensive transverse myelitis (lesions spanning ≥ 3 vertebral segments) occurred in 62.5% (25/40) of patients. Optic neuritis was typically painless and predominantly bilateral. The median time to ICI-CDD onset was 3 months (range: 0.5-60 months) after treatment initiation, following a median of 4 ICI cycles (range: 1-95). The most frequently associated malignancies were lung cancer and melanoma, with PD-1 inhibitors being the most commonly implicated ICI class (51.7%, 31/60). First-line management predominantly involved corticosteroids (98.2%, 55/56) and ICI discontinuation (80.0%, 48/60). Most patients (71.7%, 43/60) achieved favorable outcomes following immunotherapy, whereas disease relapses occurred in 16.7% (10/60) of cases.

conclusionsICI-CDD should be suspected in patients receiving ICI therapy who present with unexplained paraparesis, sensory deficits, sphincter dysfunction, visual loss, or visual field defects. Detection of demyelinating antibodies facilitates early identification of ICI-CDD and prompt initiation of personalized immunosuppressive therapy, thereby improving clinical outcomes.

Indexed as

Demyelinating Autoimmune Diseases, CNSDemyelinating DiseasesImmune Checkpoint InhibitorsAdolescentAdultAgedAged, 80 and overChildFemaleHumansMaleMiddle AgedImmune Checkpoint InhibitorsCancer immunotherapyCentral nervous system demyelinating diseaseImmune checkpoint inhibitorsImmune-related adverse eventsRelapse

Identifiers

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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 Socratic graph.