Evidence map›Paper›PMID 35133530›Full record

ReviewWiener medizinische Wochenschrift (1946)2022

Cerebrospinal fluid kappa free light chains as biomarker in multiple sclerosis-from diagnosis to prediction of disease activity.

Harald Hegen, Klaus Berek, Florian Deisenhammer

Open access · hybridAbstract readReview
In one paragraph

Review in Wiener medizinische Wochenschrift (1946), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  13. Heteromers Formed by GPR55 and Either Cannabinoid CBInternational journal of molecular sciences · 2024
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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

3 authors at 1 institution in 1 country.

Harald HegenDepartment of Neurology, Medical University of Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria. harald.hegen@i-med.ac.at.ORCID http://orcid.org/0000-0002-2833-6337
Klaus BerekDepartment of Neurology, Medical University of Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
Florian DeisenhammerDepartment of Neurology, Medical University of Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
Innsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic immune-mediated disorder of the central nervous system that shows a high interindividual heterogeneity, which frequently poses challenges regarding diagnosis and prediction of disease activity. In this context, evidence of intrathecal inflammation provides an important information and might be captured by kappa free light chains (κ-FLC) in the cerebrospinal fluid (CSF). In this review, we provide an overview on what is currently known about κ‑FLC, its historical development, the available assays and current evidence on its diagnostic and prognostic value in MS. Briefly, intrathecal κ‑FLC synthesis reaches similar diagnostic accuracy compared to the well-established CSF-restricted oligoclonal bands (OCB) to identify patients with MS, and recent studies even depict its value for prediction of early MS disease activity. Furthermore, detection of κ‑FLC has significant methodological advantages in comparison to OCB detection.

Indexed as

Multiple SclerosisOligoclonal BandsBiomarkersHumansImmunoglobulin kappa-ChainsImmunoglobulin Light ChainsBiomarkersImmunoglobulin kappa-ChainsImmunoglobulin Light ChainsOligoclonal BandsClinically isolated syndromeFLC indexOligoclonal bandsProgressionRelapse

Identifiers

PMID35133530
PMCPMC9606042
OpenAlexW4210927539

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.