Evidence map›Paper›PMID 42473681›Full record

ArticleFrontiers in cellular neuroscience2026

Blood-brain barrier integrity disruption linked to brain lesions and relapse prediction in Southern Chinese anti-NMDAR encephalitis patients.

Lingling Tong, Hui Chen, Yanzhen Huang, Wenlin Jiang, Wen Huang

Abstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 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

5 authors.

Lingling TongDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Hui ChenDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yanzhen HuangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Wenlin JiangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Wen HuangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the characteristic brain abnormalities in Southern Chinese patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis and to explore their association with blood-brain barrier (BBB) disruption and clinical implications. Methods: This study retrospectively analyzed 80 cases of anti-NMDAR encephalitis. Patients were divided into a group with abnormal brain MRI ( Results: Brain MRI abnormalities were observed in 43.75% (35/80) of the anti-NMDAR encephalitis patients. Among these, typical MRI findings of anti-NMDAR encephalitis abnormalities were present in 26 patients (32.5% of the total cohort). Brain MRI abnormalities were significantly associated with abnormal BBB permeability (42.9% vs. 13.3%, Conclusion: Abnormal BBB permeability is an independent risk factor for structural abnormalities on brain MRI and is positively correlated with the extent of MRI abnormalities. CSF OCB positivity is a risk factor for disease relapse. These findings may inform brain injury assessment, relapse risk stratification, and individualized treatment in patients with anti-NMDAR encephalitis.

Indexed as

autoimmune encephalitisblood–brain barrierbrain lesionoligoclonal bandsprognosis

Identifiers

PMID42473681
PMCPMC13381047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.