Evidence map›Paper›PMID 39533435›Full record

ArticleNeurological research and practice2024

Prevalence of comorbid autoimmune diseases and antibodies in newly diagnosed multiple sclerosis patients.

Konstantin Fritz Jendretzky, Lisa-Marie Lezius, Thea Thiele, Franz Felix Konen, André Huss, Lena Heitmann, Yunus Emre Güzeloglu, Philipp Schwenkenbecher, Kurt-Wolfram Sühs, Jelena Skuljec and 7 more

Abstract read
In one paragraph

Article in Neurological research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
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

17 authors.

Konstantin Fritz Jendretzky *Department of Neurology, Hannover Medical School, Hannover, Germany.
Lisa-Marie Lezius *Department of Neurology, Hannover Medical School, Hannover, Germany.
Thea ThieleDepartment of Rheumatology and Clinical Immunology, Hannover Medical School, Hannover, Germany.
Franz Felix KonenDepartment of Neurology, Hannover Medical School, Hannover, Germany.
André HussDepartment of Neurology, University Hospital of Ulm, Ulm, Germany.
Lena HeitmannDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Yunus Emre GüzelogluDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Philipp SchwenkenbecherDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Kurt-Wolfram SühsDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Jelena SkuljecDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany.
Mike Peter WattjesDepartment of Neuroradiology, Charité Berlin, Corporate Member of Freie Universität zu Berlin, Humboldt-Universität zu Berlin, erlin, Germany.
Torsten WitteDepartment of Rheumatology and Clinical Immunology, Hannover Medical School, Hannover, Germany.
Christoph KleinschnitzDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany.
Refik PulDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany.
Hayrettin TumaniDepartment of Neurology, University Hospital of Ulm, Ulm, Germany.
Stefan GingeleDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Thomas SkripuletzDepartment of Neurology, Hannover Medical School, Hannover, Germany. Skripuletz.Thomas@mh-hannover.de.ORCID http://orcid.org/0000-0001-8550-335X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosing multiple sclerosis (MS) is challenging due to diverse symptoms and the absence of specific biomarkers. Concurrent autoimmune diseases (AID) or non-specific antibodies further complicate diagnosis, progression monitoring, and management. Data on AID prevalence in MS patients are sparse. This study aims to identify concurrent AIDs alongside MS.

methodsIn this retrospective single-center study, we analyzed patient records at our university hospital from 2010 to 2017, focusing on cases suspected of inflammatory demyelinating disease. The 2017 McDonald criteria were applied. Additionally, we measured neurofilament light (NfL) levels from available CSF samples in our biobank.

resultsWe identified a total of 315 patients, of whom 66% were women. In total, 13.7% of all patients had concurrent AID, while 20.3% had isolated antibody findings without AID. The most common AID was autoimmune thyroiditis (8.9%), followed by chronic inflammatory skin diseases (1.6%), arthritis (1%), type 1 diabetes (1%), Sjögren's syndrome (0.6%), and inflammatory bowel diseases (0.6%). Cardiolipin antibodies were the most frequent isolated antibody finding (8.6%). Our data showed that, from the perspective of the initial demyelinating event, neither comorbid AID nor isolated antibodies significantly influenced relapses or MS progression over a median follow-up of 9 months. Standard CSF parameters and NfL levels were similar between the groups at the time of MS diagnosis.

conclusionOur study shows that AIDs, particularly autoimmune thyroiditis, frequently occur at the onset of MS. The proportion of AIDs commonly treated with immunomodulatory therapy in our cohort was similar to that observed in the general population. Comorbid AID did not affect NfL levels, indicating similar disease activity. Future research should explore new AID emergence during the course of MS, especially considering the increased incidence of rheumatic diseases later in life.

Indexed as

Autoimmune diseasesComorbidityMultiple sclerosisNeurofilament lightPrevalence

Identifiers

PMID39533435
PMCPMC11556020

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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.