Evidence map›Paper›PMID 33832507›Full record

ArticleJournal of neuroinflammation2021

Corneal confocal microscopy differentiates inflammatory from diabetic neuropathy.

Michael Fleischer, Inn Lee, Friedrich Erdlenbruch, Lena Hinrichs, Ioannis N Petropoulos, Rayaz A Malik, Hans-Peter Hartung, Bernd C Kieseier, Christoph Kleinschnitz, Mark Stettner

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 7% 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, 24 citations in OpenAlex.

  1. Article
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  4. Observational
  5. Article
  6. Corneal nerve fiber involvement in chronic inflammatory demyelinating polyneuropathy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  7. Article
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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

10 authors at 5 institutions in 6 countries.

Michael FleischerDepartment of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Inn LeeDepartment of Neurology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany.
Friedrich ErdlenbruchDepartment of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Lena HinrichsDepartment of Cardiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Ioannis N PetropoulosInstitute of Cardiovascular Science, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK.
Rayaz A MalikInstitute of Cardiovascular Science, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK.
Hans-Peter HartungDepartment of Neurology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany.
Bernd C KieseierDepartment of Neurology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany.
Christoph KleinschnitzDepartment of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Mark StettnerDepartment of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany. mark.stettner@uk-essen.de.
University of Duisburg-Essen · DEHeinrich Heine University Düsseldorf · DEMedical University of Vienna · ATUniversity of Manchester · GBWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune-mediated neuropathies, such as chronic inflammatory demyelinating polyneuropathy (CIDP) are treatable neuropathies. Among individuals with diabetic neuropathy, it remains a challenge to identify those individuals who develop CIDP. Corneal confocal microscopy (CCM) has been shown to detect corneal nerve fiber loss and cellular infiltrates in the sub-basal layer of the cornea. The objective of the study was to determine whether CCM can distinguish diabetic neuropathy from CIDP and whether CCM can detect CIDP in persons with coexisting diabetes.

methodsIn this multicenter, case-control study, participants with CIDP (n = 55) with (n = 10) and without (n = 45) diabetes; participants with diabetes (n = 58) with (n = 28) and without (n = 30) diabetic neuropathy, and healthy controls (n = 58) underwent CCM. Corneal nerve fiber density (CNFD), corneal nerve fiber length (CNFL), corneal nerve branch density (CNBD), and dendritic and non-dendritic cell density, with or without nerve fiber contact were quantified.

resultsDendritic cell density in proximity to corneal nerve fibers was significantly higher in participants with CIDP with and without diabetes compared to participants with diabetic neuropathy and controls. CNFD, CNFL, and CNBD were equally reduced in participants with CIDP, diabetic neuropathy, and CIDP with diabetes.

conclusionsAn increase in dendritic cell density identifies persons with CIDP. CCM may, therefore, be useful to differentiate inflammatory from non-inflammatory diabetic neuropathy.

Indexed as

AdultAgedCase-Control StudiesCorneaDendritesDiabetes Mellitus, Type 2Diabetic NeuropathiesDiagnosis, DifferentialFemaleHumansMaleMicroscopy, ConfocalMiddle AgedNerve FibersPolyradiculoneuropathy, Chronic Inflammatory DemyelinatingChronic inflammatory demyelinating neuropathycorneal confocal microscopyDiabetes mellitus

Identifiers

PMID33832507
PMCPMC8033689
OpenAlexW3152053170

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.