Evidence map›Paper›PMID 42631259›Full record

ArticleCureus2026

Concurrent Anti-glomerular Basement Membrane (Anti-GBM) Disease and Immunoglobulin A Nephropathy (IgAN) Presenting With Severe Pulmonary-Renal Syndrome: A Case Report.

Fahd Alshuweishi, Mohammed Almuhraj, Naif J Benragosh, Areej Alqunaitir, Khaled O Alsaad

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. 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

5 authors.

Fahd AlshuweishiDepartment of Nephrology, King Saud Medical City, Riyadh, SAU.
Mohammed AlmuhrajDepartment of Internal Medicine, King Saud Medical City, Riyadh, SAU.
Naif J BenragoshDepartment of Internal Medicine, King Saud Medical City, Riyadh, SAU.
Areej AlqunaitirDepartment of Anatomical Pathology, King Faisal Specialist Hospital and Research Centre, Riyadh, SAU.
Khaled O AlsaadDepartment of Anatomical Pathology, King Faisal Specialist Hospital and Research Centre, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-glomerular basement membrane (anti-GBM) disease is a rare, aggressive autoimmune condition that typically presents as rapidly progressive glomerulonephritis and can be complicated by pulmonary haemorrhage. The co-occurrence of anti-GBM disease and IgA nephropathy (IgAN) is extremely uncommon, though increasingly recognised as a distinct clinical and pathological entity. We describe a 51-year-old Sudanese man who presented with acute hypoxaemic respiratory failure, haemoptysis, severe anaemia, and acute kidney injury. Testing showed high levels of anti-GBM antibodies, with negative anti-neutrophil cytoplasmic antibodies. Chest imaging revealed diffuse alveolar haemorrhage. Renal biopsy demonstrated crescentic glomerulonephritis with linear IgG staining along the glomerular basement membrane, alongside mesangial deposits dominated by IgA, confirming the presence of both diseases. Treatment included plasma exchange, high-dose corticosteroids, cyclophosphamide, and bronchial artery embolisation, which led to significant respiratory improvement and stabilisation of kidney function. A review of published cases suggests that individuals with this overlap may experience better renal outcomes than those with anti-GBM disease alone, though serious pulmonary-renal symptoms can still occur. This case highlights the need for accurate clinicopathological assessment and prompt initiation of anti-GBM-specific treatment.

Indexed as

anti-glomerular basement membrane diseaseautoimmune glomerulonephritiscrescentic glomerulonephritisimmunoglobulin a nephropathypulmonary-renal syndromerenal biopsy

Identifiers

PMID42631259
PMCPMC13496380

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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 OpenQuestion graph.