Evidence map›Paper›PMID 34376954›Full record

ArticleIndian journal of nephrology

Recurrent, Atypical Anti-Glomerular Basement Membrane Disease.

Jagadish S Jamboti, Rajalingam Sinniah, Lloyd Dorsogna, Christian Holmes

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Indian journal of nephrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Atypical Anti-Glomerular Basement Membrane Disease.Kidney international reports · 2023
    Review
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.

Jagadish S JambotiDepartment of Nephrology and Transplantation, Curtin University, Bentley, Western Australia.
Rajalingam SinniahUniversity of Western Australia, Crawley, Western Australia.
Lloyd DorsognaUniversity of Western Australia, Crawley, Western Australia.
Christian HolmesNephrology Service, Bendigo, Monash University Rural School of Health, Bendigo, Victoria, Western Australia.
University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-glomerular basement membrane disease (GBM) (Goodpasture's disease) typically presents with acute manifestations of rapidly progressive glomerulonephritis often accompanied by lung haemorrhage. Anti-GBM disease is usually monophasic. However, atypical presentations with indolent renal involvement are being increasingly recognized. Herein we report a patient who presented with lung haemorrhage, minimal renal involvement, and negative result for serum anti-GBM antibody, while immunofluorescence examination of the renal biopsy provided the diagnosis leading to the institution right treatment with excellent response. Interestingly, he had presented 10 years earlier with lung hemorrhage, more significant renal involvement clinically and histologically, with positive serum anti-GBM antibody. The present case is intended to increase our awareness regarding the variable presentations of anti-GBM disease, such as with negative serology and recurrence of anti-GBM disease. The presentation of anti-GBM nephritis with non-proliferative, non-crescentic glomerulonephritis is also highlighted. The possible explanations for negative serum anti-GBM antibody are explored with a brief review of literature.

Indexed as

Atypical anti-GBM diseaseGoodpasture's diseaselung haemorrhagerapidly progressive glomerulonephritisrecurrent anti-GBM disease

Identifiers

PMID34376954
PMCPMC8330667
OpenAlexW3154571603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.