Evidence map›Paper›PMID 37926537›Full record

ArticleInternal medicine (Tokyo, Japan)2024

Renal Medullary Angiitis Associated with Cutaneous Leukocytoclastic Vasculitis.

Shoko Miura, Kan Katayama, Kensuke Joh, Mika Fujimoto, Mayuko Yamakawa, Enyo Akiyama, Junji Nishida, Masashi Yasutomi, Eiji Ishikawa, Kaoru Dohi

Abstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2024. 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

10 authors.

Shoko MiuraDepartment of Nephrology, Kuwana City Medical Center, Japan.
Kan KatayamaDepartment of Cardiology and Nephrology, Mie University Graduate School of Medicine, Japan.
Kensuke JohDepartment of Pathology, The Jikei University School of Medicine, Japan.
Mika FujimotoDepartment of Nephrology, Takeuchi Hospital, Japan.
Mayuko YamakawaDepartment of Nephrology, Kuwana City Medical Center, Japan.
Enyo AkiyamaDepartment of Nephrology, Kuwana City Medical Center, Japan.
Junji NishidaDepartment of Nephrology, Kuwana City Medical Center, Japan.
Masashi YasutomiDepartment of Nephrology, Kuwana City Medical Center, Japan.
Eiji IshikawaDepartment of Nephrology, Saiseikai Matsusaka General Hospital, Japan.
Kaoru DohiDepartment of Cardiology and Nephrology, Mie University Graduate School of Medicine, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal medullary angiitis is characterized by interstitial hemorrhaging in the medulla with neutrophil infiltration. An 81-year-old man presented with a fever, kidney dysfunction, and purpura of the legs, which was diagnosed as leukocytoclastic vasculitis. Proteinase 3 antineutrophil cytoplasmic antibodies were weakly positive. A kidney biopsy showed severe tubulointerstitial hemorrhaging with neutrophilic infiltration in the perivascular areas surrounding the vasa recta in the medulla without crescent formation in the glomeruli. An immunofluorescence analysis was negative, and electron microscopy revealed no immune-dense deposits, ruling out immunoglobulin A vasculitis. Intravenous methylprednisolone for three days and plasma exchange followed by oral prednisolone improved his general condition.

Indexed as

Vasculitis, Leukocytoclastic, CutaneousAged, 80 and overHumansKidney MedullaMaleMethylprednisolonePlasma ExchangePrednisoloneVasculitisMethylprednisolonePrednisoloneanti-neutrophil cytoplasmic antibodyinterstitial hemorrhagingleukocytoclastic vasculitisrenal medullary angiitisvasa recta

Identifiers

PMID37926537
PMCPMC11239257

What OpenQuestion holds

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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.