Evidence map›Paper›PMID 42367782›Full record

ReviewFrontiers in immunology2026

The effect of frequent plasmapheresis in a patient with anti-glomerular basement membrane antibody diseases with severe renal dysfunction: a case report and literature review.

Huimin Tian, Qian Ren, Hongyu Qiu, Shenju Gou

Abstract readCase ReportsReview
In one paragraph

Review in Frontiers in immunology, 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

4 authors.

Huimin TianDepartment of Nephrology and Institute of Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China.
Qian RenDepartment of Nephrology and Institute of Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China.
Hongyu QiuDepartment of Nephrology and Institute of Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China.
Shenju GouDepartment of Nephrology and Institute of Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-glomerular basement membrane antibody (anti-GBM) disease is a rare yet aggressive autoimmune disorder that affects the kidneys and lungs. Patients with renal involvement often progressed to death or end-stage renal disease. Treatment with plasmapheresis, along with cyclophosphamide and corticosteroids, has been suggested to improve renal and patient survival; however, it showed little benefit in patients who presented with severe disease. We herein report a critically ill case with anuria, creatinine value of 752 μmol/L, anti-GBM antibody titer of 92.54 RU/mL, and 96.7% fibro-cellular crescent formation at renal biopsy. The patient was diagnosed with anti-GBM disease and treated with plasmapheresis and immunosuppressive therapy. Plasmapheresis was not ceased until the total clearance of pathogenic autoantibodies. The patient's renal function was successfully rescued and maintained normal during the 5-year follow-up. Our experience implicated that early and persistent plasmapheresis could rescue the kidney function of anti-GBM patients who have extremely poor prognosis.

Indexed as

Anti-Glomerular Basement Membrane DiseasePlasmapheresisAutoantibodiesHumansImmunosuppressive AgentsKidneyTreatment Outcomeantiglomerular basement membrane antibodyAutoantibodiesImmunosuppressive Agentsanti-glomerular basement membrane antibodycase reportcrescentic glomerulonephritisplasmapheresisrapidly progressive glomerulonephritis

Identifiers

PMID42367782
PMCPMC13303585

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Registered trials

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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.