Evidence map›Paper›PMID 36823602›Full record

ArticleJournal of neuroinflammation2023

Supporting the differential diagnosis of connective tissue diseases with neurological involvement by blood and cerebrospinal fluid flow cytometry.

Michael Heming, Louisa Müller-Miny, Leoni Rolfes, Andreas Schulte-Mecklenbeck, Tobias J Brix, Julian Varghese, Marc Pawlitzki, Hermann Pavenstädt, Martin A Kriegel, Catharina C Gross and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Michael Heming *Department of Neurology With Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.ORCID https://orcid.org/0000-0002-9568-2790
Louisa Müller-Miny *Department of Neurology With Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.ORCID https://orcid.org/0000-0001-5689-585X
Leoni RolfesDepartment of Neurology, University Hospital Düsseldorf, Düsseldorf, Germany.
Andreas Schulte-MecklenbeckDepartment of Neurology With Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.ORCID https://orcid.org/0000-0003-3855-4706
Tobias J BrixInstitute of Medical Informatics, University of Münster, Münster, Germany.
Julian VargheseInstitute of Medical Informatics, University of Münster, Münster, Germany.
Marc PawlitzkiDepartment of Neurology, University Hospital Düsseldorf, Düsseldorf, Germany.
Hermann PavenstädtDivision of General Internal Medicine, Nephrology and Rheumatology, Department of Medicine D, University Hospital of Münster, Münster, Germany.
Martin A KriegelDepartment of Translational Rheumatology and Immunology, Institute of Musculoskeletal Medicine, University of Münster, Münster, Germany.ORCID https://orcid.org/0000-0002-7371-0391
Catharina C GrossDepartment of Neurology With Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.ORCID https://orcid.org/0000-0002-4872-9189
Heinz WiendlDepartment of Neurology With Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.ORCID https://orcid.org/0000-0003-4310-3432
Gerd Meyer Zu HörsteDepartment of Neurology With Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany. gerd.mzh@uni-muenster.de.ORCID https://orcid.org/0000-0002-4341-4719
University Hospital Münster · DEUniversity of Münster · DEDüsseldorf University Hospital · DE

Funding

Bundesministerium für Bildung und Forschung HiGHmed 01ZZ1802VDeutsche Forschungsgemeinschaft ME4050/12-1Interdisziplinäres Zentrum für Klinische Forschung, Münster MzH3/020/030Interdisziplinäres Zentrum für Klinische Forschung, Münster SEED/016/21
6 · The paper itself

Abstract

objectiveNeurological manifestations of autoimmune connective tissue diseases (CTD) are poorly understood and difficult to diagnose. We here aimed to address this shortcoming by studying immune cell compositions in CTD patients with and without neurological manifestation.

methodsUsing flow cytometry, we retrospectively investigated paired cerebrospinal fluid (CSF) and blood samples of 28 CTD patients without neurological manifestation, 38 CTD patients with neurological manifestation (N-CTD), 38 non-inflammatory controls, and 38 multiple sclerosis (MS) patients, a paradigmatic primary neuroinflammatory disease.

resultsWe detected an expansion of plasma cells in the blood of both N-CTD and CTD compared to non-inflammatory controls and MS. Blood plasma cells alone distinguished the clinically similar entities N-CTD and MS with high discriminatory performance (AUC: 0.81). Classical blood monocytes indicated higher disease activity in systemic lupus erythematosus (SLE) patients. Surprisingly, immune cells in the CSF did not differ significantly between N-CTD and CTD, while CD4

conclusionWe here find that blood flow cytometry alone surprisingly suffices to distinguish CTD with neurological manifestations from clinically similar entities, suggesting that a rapid blood test could support clinicians in the differential diagnosis of N-CTD.

Indexed as

Connective Tissue DiseasesLupus Erythematosus, SystemicMultiple SclerosisDiagnosis, DifferentialFlow CytometryHumansRetrospective StudiesCerebrospinal fluidConnective tissue diseaseFlow cytometrySystemic lupus erythematosus

Identifiers

PMID36823602
PMCPMC9951507
OpenAlexW4321611946

What OpenQuestion holds

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LicenceCC BY
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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.