Evidence map›Paper›PMID 35185866›Full record

ArticleFrontiers in immunology2021

Determination of CSF GFAP, CCN5, and vWF Levels Enhances the Diagnostic Accuracy of Clinically Defined MS From Non-MS Patients With CSF Oligoclonal Bands.

Fay Probert, Tianrong Yeo, Yifan Zhou, Megan Sealey, Siddharth Arora, Jacqueline Palace, Timothy D W Claridge, Rainer Hillenbrand, Johanna Oechtering, Jens Kuhle and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

11 citing papers in PubMed, 14 citations in OpenAlex.

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  11. Proteomics in Multiple Sclerosis: The Perspective of the Clinician.International journal of molecular sciences · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 4 countries.

Fay ProbertDepartment of Chemistry, University of Oxford, Oxford, United Kingdom.
Tianrong YeoDepartment of Pharmacology, University of Oxford, Oxford, United Kingdom.
Yifan ZhouDepartment of Pharmacology, University of Oxford, Oxford, United Kingdom.
Megan SealeyDepartment of Pharmacology, University of Oxford, Oxford, United Kingdom.
Siddharth AroraDepartment of Mathematics, University of Oxford, Oxford, United Kingdom.
Jacqueline PalaceNuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
Timothy D W ClaridgeDepartment of Chemistry, University of Oxford, Oxford, United Kingdom.
Rainer HillenbrandBiomarker Development, Novartis Pharma AG, Basel, Switzerland.
Johanna OechteringNeurologic Clinic and Policlinic, Multiple Sclerosis (MS) Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Clinical Research and Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland.
Jens KuhleNeurologic Clinic and Policlinic, Multiple Sclerosis (MS) Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Clinical Research and Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland.
David LeppertNeurologic Clinic and Policlinic, Multiple Sclerosis (MS) Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Clinical Research and Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland.
Daniel C AnthonyDepartment of Pharmacology, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBUniversity of Basel · CHJohn Radcliffe Hospital · GBNational Institutes of Health · USNational Neuroscience Institute · SGNovartis (Switzerland) · CHUniversity Hospital of Basel · CH

Funding

Medical Research Council MC_PC_15029
6 · The paper itself

Abstract

Background: Inclusion of cerebrospinal fluid (CSF) oligoclonal IgG bands (OCGB) in the revised McDonald criteria increases the sensitivity of diagnosis when dissemination in time (DIT) cannot be proven. While OCGB negative patients are unlikely to develop clinically definite (CD) MS, OCGB positivity may lead to an erroneous diagnosis in conditions that present similarly, such as neuromyelitis optica spectrum disorders (NMOSD) or neurosarcoidosis. Objective: To identify specific, OCGB-complementary, biomarkers to improve diagnostic accuracy in OCGB positive patients. Methods: We analysed the CSF metabolome and proteome of CDMS (n=41) and confirmed non-MS patients (n=64) comprising a range of CNS conditions routinely encountered in neurology clinics. Results: OCGB discriminated between CDMS and non-MS with high sensitivity (85%), but low specificity (67%), as previously described. Machine learning methods revealed CCN5 levels provide greater accuracy, sensitivity, and specificity than OCGB (79%, +5%; 90%, +5%; and 72%, +5% respectively) while glial fibrillary acidic protein (GFAP) identified CDMS with 100% specificity (+33%). A multiomics approach improved accuracy further to 90% (+16%). Conclusion: The measurement of a few additional CSF biomarkers could be used to complement OCGB and improve the specificity of MS diagnosis when clinical and radiological evidence of DIT is absent.

Indexed as

Central Nervous System DiseasesMultiple SclerosisBiomarkersGlial Fibrillary Acidic ProteinHumansOligoclonal BandsBiomarkersGlial Fibrillary Acidic ProteinOligoclonal Bandsdiagnosismetabolomics (OMICS)multiple sclerosis (MS)oligoclonal bandproteomics

Identifiers

PMID35185866
PMCPMC8855362
OpenAlexW4210529291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.