Evidence map›Paper›PMID 34257112›Full record

ArticleBMJ case reports2021

Antiglomerular basement membrane (anti-GBM) disease with clinical and histological features that bridge the typical to atypical spectrum.

Fergal Fouhy, Nick Mayer, Louise Burke, Michelle O'Shaughnessy

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Fergal FouhyDepartment of Renal Medicine, Cork University Hospital, Cork, Ireland.
Nick MayerDepartment of Pathology, Cork University Hospital, Cork, Ireland.
Louise BurkeDepartment of Pathology, Cork University Hospital, Cork, Ireland.
Michelle O'ShaughnessyDepartment of Renal Medicine, Cork University Hospital, Cork, Ireland m.oshaughnessy4@hse.ie.ORCID http://orcid.org/0000-0002-0406-1308
Cork University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe antiglomerular basement membrane (anti-GBM) disease with rapidly progressive glomerulonephritis and concurrent parainfluenza pneumonia. Circulating anti-GBM antibodies were barely detectable and disappeared rapidly following corticosteroids, cyclophosphamide and plasma exchange. Kidney biopsy demonstrated strong linear GBM staining for IgG and IgG4 and unusually prominent endocapillary hypercellularity, suggesting 'atypical anti-GBM disease', although glomerular necrosis and crescents were also seen. When kidney function deteriorated further, despite persistently absent circulating anti-GBM antibodies, a repeat kidney biopsy was performed, showing crescents in 100% of glomeruli with ongoing endocapillary hypercellularity and strong IgG and IgG4 GBM staining. This case highlights complexities in the diagnosis of anti-GBM disease, with clinical and histological features bridging the atypical to typical anti-GBM disease spectrum. We hypothesise that these findings might be explained by the presence of IgG4 (rather than traditional IgG1 or IgG3) autoantibodies. To our knowledge, this is also the first report of parainfluenza associated with anti-GBM disease.

Indexed as

Anti-Glomerular Basement Membrane DiseaseAutoantibodiesBasement MembraneHumansKidney Glomerulusantiglomerular basement membrane antibodyAutoantibodiesimmunologyrenal medicine

Identifiers

PMID34257112
PMCPMC8278913
OpenAlexW3182992358

What OpenQuestion holds

Textmetadata
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.