Evidence map›Paper›PMID 40301037›Full record

ArticleInternal medicine (Tokyo, Japan)2025

Unusual Clinical Course in a Case with Relapsing Polychondritis Showing Hypertrophic Pachymeningitis Complicated by a Klebsiella pneumoniae Infection.

Ken Yasuda, Takakuni Maki, Kohei Nishimura, Hajime Yoshifuji, Masakazu Okawa, Akio Ikeda, Riki Matsumoto, Ryosuke Takahashi

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Internal medicine (Tokyo, Japan), 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
–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

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.

Ken YasudaDepartment of Neurology, Graduate School of Medicine, Kyoto University, Japan.
Takakuni MakiDepartment of Neurology, Graduate School of Medicine, Kyoto University, Japan.
Kohei NishimuraDepartment of Neurology, Graduate School of Medicine, Kyoto University, Japan.
Hajime YoshifujiDepartment of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Japan.
Masakazu OkawaDepartment of Neurosurgery, Graduate School of Medicine, Kyoto University, Japan.
Akio IkedaDepartment of Epilepsy, Movement Disorders and Physiology, Graduate School of Medicine, Japan.
Riki MatsumotoDepartment of Neurology, Graduate School of Medicine, Kyoto University, Japan.
Ryosuke TakahashiDepartment of Neurology, Graduate School of Medicine, Kyoto University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relapsing polychondritis (RP) is a rare autoimmune disease that may involve the central nervous system. We herein present the first reported case of hypertrophic pachymeningitis (HP) in an RP patient with a concurrent Klebsiella pneumoniae infection. A 48-year-old man developed transient left-sided weakness and numbness, and brain MRI showed diffuse pachymeningitis. Cultures from a dural biopsy identified K. pneumoniae, and RP was diagnosed using an auricular cartilage biopsy. Treatment with corticosteroids and infliximab resulted in symptom resolution. This case highlights the importance of considering bacterial infections in HP associated with RP, while also providing insight into its pathophysiology.

Indexed as

Klebsiella InfectionsKlebsiella pneumoniaeMeningitisPolychondritis, RelapsingHumansHypertrophyInfliximabMagnetic Resonance ImagingMaleMiddle AgedInfliximabKlebsiella pneumoniaepachymeningitisrelapsing polychondritis

Identifiers

PMID40301037
PMCPMC12659956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.