Evidence map›Paper›PMID 36453167›Full record

SynthesisMultiple sclerosis (Houndmills, Basingstoke, England)2023

Cerebrospinal fluid kappa free light chains for the diagnosis of multiple sclerosis: A systematic review and meta-analysis.

Harald Hegen, Janette Walde, Klaus Berek, Georgina Arrambide, Sharmilee Gnanapavan, Batia Kaplan, Michael Khalil, Ruba Saadeh, Charlotte Teunissen, Hayrettin Tumani and 4 more

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Multiple sclerosis (Houndmills, Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
14.4field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 112 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

14 authors at 11 institutions in 8 countries.

Harald HegenDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Janette WaldeDepartment of Statistics, Faculty of Economics and Statistics, University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-1241-5292
Klaus BerekDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-2755-2043
Georgina ArrambideCentre d'Esclerosi Múltiple de Catalunya, Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autónoma de Barcelona, Barcelona, Spain.ORCID 0000-0002-2657-5510
Sharmilee GnanapavanBlizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0003-2817-9922
Batia KaplanLaboratory of Hematology, Sheba Medical Center, Ramat Gan, Israel.
Michael KhalilDepartment of Neurology, Medical University of Graz, Graz, Austria.ORCID 0000-0002-5350-3328
Ruba SaadehDepartment of Laboratory Medicine and Pathology and Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Charlotte TeunissenNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam UMC, Amsterdam, The Netherlands.ORCID 0000-0002-4061-0837
Hayrettin TumaniCSF Laboratory, Department of Neurology, University of Ulm, Ulm, Germany.
Luisa M VillarImmunology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Maria Alice V WillrichDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden/Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden/Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK/UK Dementia Research Institute, University College London, London, UK/Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China.
Florian DeisenhammerDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-4541-8841
Innsbruck Medical University · ATMayo Clinic in Arizona · USAmsterdam Neuroscience · NLHospital Universitario Ramón y Cajal · ESMedical University of Graz · ATQueen Mary University of London · GBSahlgrenska University Hospital · SESheba Medical Center · ILUniversitat Autònoma de Barcelona · ESUniversität Innsbruck · ATUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntrathecal immunoglobulin-G synthesis is a hallmark of multiple sclerosis (MS), which can be detected by oligoclonal IgG bands (OCB) or by κ-free light chains (κ-FLC) in cerebrospinal fluid.

objectiveTo perform a systematic review and meta-analysis to evaluate whether κ-FLC index has similar diagnostic value to identify patients with clinically isolated syndrome (CIS) or MS compared to OCB, and to determine κ-FLC index cut-off.

methodsPubMed was searched for studies that assessed diagnostic sensitivity and specificity of κ-FLC index and OCB to discriminate CIS/MS patients from control subjects. Two reviewers following preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines performed study eligibility assessment and data extraction. Findings from studies were analyzed with bivariate mixed models.

resultsA total of 32 studies were included in the meta-analysis to evaluate diagnostic value of κ-FLC index. Sensitivity and specificity ranged from 52% to 100% (weighted average: 88%) and 69% to 100% (89%) for κ-FLC index and from 37% to 100% (85%) and 74% to 100% (92%) for OCB. Mean difference of sensitivity and specificity between κ-FLC index and OCB was 2 and -4 percentage points. Diagnostic accuracy determined by mixed models revealed no significant difference between κ-FLC index and OCB. A discriminatory cut-off for κ-FLC index was determined at 6.1.

conclusionThe findings indicate that κ-FLC index has similar diagnostic accuracy in MS as OCB.

Indexed as

Demyelinating DiseasesMultiple SclerosisBiomarkersHumansImmunoglobulin GImmunoglobulin kappa-ChainsOligoclonal BandsBiomarkersImmunoglobulin GImmunoglobulin kappa-ChainsOligoclonal BandsbiomarkerCerebrospinal fluidclinically isolated syndromediagnosisindexintrathecal fractionkappa free light chainsmeta-analysismultiple sclerosissystematic review

Identifiers

PMID36453167
PMCPMC9925892
OpenAlexW4310573430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.