Evidence map›Paper›PMID 41655978›Full record

ReviewNephrology (Carlton, Vic.)2026

Principles for Optimal Drug Selection in IgA Nephropathy-Time for Integrating Pathogenesis and Clinical Markers to Guide Therapy.

Yusuke Suzuki

Abstract readReview
In one paragraph

Review in Nephrology (Carlton, Vic.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

1 author.

Yusuke SuzukiDepartment of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan.

Funding

Japan Agency for Medical Research and Development JP24ek0109706Japan Agency for Medical Research and Development JP25ek0109833Ministry of Health 23FC1048
6 · The paper itself

Abstract

IgA nephropathy is a progressive glomerular disease with a variable clinical course and a substantial risk of progression to end-stage kidney failure. While proteinuria has long been the central therapeutic target, insights into disease pathogenesis indicate that haematuria should also guide treatment decisions. Based on the pathophysiology of IgA nephropathy-particularly the deposition of galactose-deficient IgA1 (GdIgA1)-containing immune complexes and subsequent complement activation-haematuria reflects active glomerular capillaritis. In this context, haematuria serves as a dynamic marker of immunologic injury, whereas proteinuria without haematuria may reflect irreversible breakdown of the glomerular filtration barrier. Therefore, the presence or absence of haematuria helps clarify the underlying mechanisms of proteinuria and informs the selection of appropriate therapeutic strategies. This review proposes a practical framework for drug selection tailored to both disease stage and clinical phenotype. In early, inflammation-predominant stages marked by haematuria, therapies targeting B/plasma cell function and GdIgA1 production, or complement activation-such as antibodies against APRIL/BAFF or their receptors, and complement inhibitors-may be most effective. In later stages without haematuria, management should focus on chronic structural damage with agents such as RAS inhibitors, SGLT2 inhibitors, and endothelin receptor antagonists. With multiple novel therapies on the horizon, distinguishing between haematuria-positive and haematuria-negative proteinuria-each reflecting distinct pathogenic processes-provides critical guidance for selecting and positioning soon-to-be-available new drugs. Integrating this clinical-pathological understanding into treatment planning enables more precise, individualised therapy for IgA nephropathy.

Indexed as

Glomerulonephritis, IGABiomarkersHematuriaHumansProteinuriaTreatment OutcomeBiomarkershaematuriaIgA nephropathynovel therapiesproteinuria

Identifiers

PMID41655978
PMCPMC12883291

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.