Evidence map›Paper›PMID 41281572›Full record

ReviewFrontiers in neurology2025

Peripheral blood immune inflammatory markers in neuromyelitis optica spectrum disorders.

Bin Wu, Fangzheng Cao, Mengying Mao, Xiaoli Gong, Bin Xu

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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.

Bin WuThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Fangzheng CaoDepartment of Neurology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Mengying MaoThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.
Xiaoli GongDepartment of Neurology, Zhejiang Provincial People's Hospital, Hangzhou, China.
Bin XuDepartment of Neurology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromyelitis optica spectrum disorder (NMOSD) is an autoimmune neuroinflammatory disease with high relapse risk and cumulative neurological disability. Identifying, providing early warning, and reproducible monitoring of disease progression and therapeutic efficacy in peripheral blood biomarkers is crucial for clinical management and personalized treatment. Numerous studies have investigated the relationship between peripheral blood immune-inflammatory markers including cytological ratios, cytokines, complement components and NMOSD disease activity, relapse risk, and long-term outcomes, aiming to evaluate their potential application in clinical prognostic assessment and treatment monitoring. Meta-analyses have shown that the neutrophil-to-lymphocyte ratio (NLR) is significantly elevated in patients with NMOSD compared with healthy controls (mean difference (MD) approximately 1.04, 95% CI 0.76-1.32; high heterogeneity). The NLR is associated with relapse risk and disability (EDSS ≥4) (OR for relapse, approximately 1.33-2.14; OR for EDSS ≥ 4, approximately 1.23-1.43), supporting the potential clinical application of peripheral blood Immune inflammatory markers in NMOSD. This review summarizes the current evidence for peripheral blood inflammatory markers in NMOSD, focusing on their clinical application.

Indexed as

lymphocyte-to-monocyte rationeutrophil-to-lymphocyte ratiooptica spectrum disorderperipheral blood immune inflammatory markersplatelet-to-lymphocyte ratio

Identifiers

PMID41281572
PMCPMC12631084

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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 OpenQuestion graph.