Evidence map›Paper›PMID 41657424›Full record

ArticleTherapeutic advances in neurological disorders2026

A corona-like distribution and patchy pattern of cerebellar infarcts identify patients with giant cell arteritis.

Carolin Beuker, Jan-Kolja Strecker, Veith Jungmann, Nils Werring, Tobias Brix, Christian Thomas, Maximilian Christian Wankner, Antje Schmidt-Pogoda, Paul Stracke, Bernd Eckert and 9 more

Abstract read
In one paragraph

Article in Therapeutic advances in neurological disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

19 authors.

Carolin BeukerDepartment of Neurology, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A1, Münster 48149, Germany.ORCID https://orcid.org/0000-0003-3495-0357
Jan-Kolja StreckerDepartment of Neurology, University Hospital Schleswig-Holstein and University of Lübeck, Lübeck, Germany.
Veith JungmannDepartment of Neurology, University of Münster, Münster, Germany.
Nils WerringDepartment of Neurology, University Hospital Schleswig-Holstein and University of Lübeck, Lübeck, Germany.
Tobias BrixInstitute of Medical Informatics, University of Münster, Münster, Germany.
Christian ThomasInstitute of Neuropathology, University Hospital Münster, Münster, Germany.
Maximilian Christian WanknerDepartment of Neurosurgery, University Hospital Cologne, Cologne, Germany.
Antje Schmidt-PogodaDepartment of Neurology, University of Münster, Münster, Germany.
Paul StrackeDepartment of Clinical Radiology, University Hospital of Münster, Münster, Germany.
Bernd EckertDepartment of Neuroradiology, Asklepios Klinik Hamburg Altona, Hamburg, Germany.
Thomas Raphael MeinelDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-0647-9273
Marcel ArnoldDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Jens SchaumbergDepartment of Neurology, Community Hospital Sana Kliniken Lübeck, Lübeck, Germany.
Schulamith KrügerDepartment of Neurology, Helios Klinikum Uelzen, Uelzen, Germany.
Milani Deb-ChatterjiUniversity Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Christina KrügerDepartment of Neurology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Tim MagnusDepartment of Neurology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Joachim RötherDepartment of Neurology, Asklepios Klinik Hamburg Altona, Hamburg, Germany.
Jens MinnerupDepartment of Neurology, University of Münster, Münster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cerebrovascular events are a potentially serious complication of giant cell arteritis (GCA) with intracranial involvement. However, diagnosing GCA in this context remains challenging, as classical clinical features may be absent. Objectives: To identify characteristic cerebellar infarct patterns associated with intracranial GCA and to differentiate them from other common causes of posterior circulation stroke. Design: Multicenter retrospective study. Methods: A total of 125 patients with cerebellar infarctions of various etiologies were included. Among these, 19 patients had confirmed intracranial GCA. Infarct patterns were compared to those seen in strokes of cardioembolic origin ( Results: Distinct imaging signatures were observed in patients with GCA. A "corona-like" infarct pattern, defined by sparing of the medial branch of the proximal posterior inferior cerebellar artery (PICA), demonstrated a sensitivity of 79% and a specificity of 64%. A patchy infarct pattern, characterized by scattered non-confluent lesions, was present in 53% of GCA cases and showed high specificity (93%). When both features were present, specificity increased to 98% and sensitivity was reduced to 47%. Conclusion: Our findings reveal a distinct cerebellar infarct pattern associated with intracranial GCA, characterized by a corona-like configuration and patchy lesions predominantly involving the lateral PICA territory. Recognition of this imaging phenotype may enhance diagnostic accuracy in challenging cases and facilitate the timely initiation of immunosuppressive therapy.

Indexed as

cerebellarGCAinfarctionintracranialpattern

Identifiers

PMID41657424
PMCPMC12873070

What Socratic holds

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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 Socratic graph.