Evidence map›Paper›PMID 40522473›Full record

ArticleInnere Medizin (Heidelberg, Germany)2025

[Same antibodies, new questions: interdisciplinary diagnosis in a 72-year-old female patient with encephalitis].

Christiane Kellner, Mihai Ceanga, Jakob Leicht, Christian Kühnel, Mina Piramoon, Christof Kloos, Nicolle Müller, Gunter Wolf

Abstract readCase ReportsEnglish Abstract
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In one paragraph

Article in Innere Medizin (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Christiane KellnerKlinik für Innere Medizin III, FB Endokrinologie und Stoffwechselerkrankungen, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Deutschland. christiane.kellner@med.uni-jena.de.
Mihai CeangaKlinik für Neurologie, Universitätsklinikum Jena, Jena, Deutschland.
Jakob LeichtInstitut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Jena, Jena, Deutschland.
Christian KühnelKlinik für Nuklearmedizin, Universitätsklinikum Jena, Jena, Deutschland.
Mina PiramoonStudium der Humanmedizin, Universitätsklinikum Jena, Jena, Deutschland.
Christof KloosKlinik für Innere Medizin III, FB Endokrinologie und Stoffwechselerkrankungen, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Deutschland.
Nicolle MüllerKlinik für Innere Medizin III, FB Endokrinologie und Stoffwechselerkrankungen, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Deutschland.
Gunter WolfKlinik für Innere Medizin III, FB Endokrinologie und Stoffwechselerkrankungen, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At 1.5 years after the diagnosis of glutamate decarboxylase(GAD)-associated encephalitis (highly positive GAD antibodies in cerebrospinal fluid and serum) in a 72-year-old patient, hyperglycemia above 40 mmol/l was the cause of progressive neurological symptoms. GAD is an important enzyme in the central nervous system and pancreatic β‑cells that convert L‑glutamate into γ‑aminobutyric acid (GABA). High GAD antibodies are associated with autoimmune diseases such as encephalitis and diabetes mellitus type 1, requiring interdisciplinary diagnostics and therapy.

Indexed as

AutoantibodiesEncephalitisGlutamate DecarboxylaseInterdisciplinary CommunicationAgedDiabetes Mellitus, Type 1Diagnosis, DifferentialFemaleHumansHyperglycemiaAutoantibodiesGlutamate DecarboxylaseAutoimmunity, GAD-associatedBlood glucoseDiabetes mellitus, type 1Encephalitis, GAD-associatedGlutamate decarboxylase (GAD), antibodies

Identifiers

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Registered trials

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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.