Evidence map›Paper›PMID 39565563›Full record

ReviewJournal of nephrology2025

Post-transplant IgA nephropathy: a rapidly evolving field of kidney transplant medicine.

Mehmet Kanbay, Lasin Ozbek, Mustafa Guldan, Sidar Copur, Jonathan Barratt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of nephrology, 2025. 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. Article
  3. 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

5 authors.

Mehmet KanbayDivision of Nephrology, Department of Internal Medicine, Koc University School of Medicine, 34010, Istanbul, Turkey. mkanbay@ku.edu.tr.ORCID http://orcid.org/0000-0002-1297-0675
Lasin OzbekDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Mustafa GuldanDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Sidar CopurDivision of Internal Medicine, Department of Internal Medicine, Koç University School of Medicine, Istanbul, Turkey.
Jonathan BarrattMayer IgA Nephropathy Laboratories, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IgA nephropathy is the commonest pattern of primary glomerular disease in the world, with high rates of progression to kidney failure. As IgA nephropathy commonly causes kidney failure at a young age, kidney transplantation is commonly used to treat kidney failure. However, high rates of recurrent disease in the allograft remain a common management challenge. The prevalence of post-transplant recurrence approaches 15% at ten years post-transplant and is associated with poor allograft function and high rates of allograft loss. Post-transplant IgA nephropathy has also been described de novo in some case series. Treatment of recurrent IgA nephropathy has been challenging but with the rapid growth of new treatments for IgA nephropathy it is likely that many of these treatments will, over time, transition to the treatment of recurrent disease. In this narrative review, our aim is to evaluate post-transplant IgA nephropathy in terms of epidemiology, risk factors, underlying pathophysiology, diagnosis and management strategies.

Indexed as

Glomerulonephritis, IGAKidney TransplantationHumansPrevalenceRecurrenceRisk FactorsTreatment OutcomeAngiotensin converting enzyme inhibitorsAngiotensin receptor blockersIgA nephropathyKidney transplantationRecurrenceSodium-glucose cotransporter-2 inhibitors

Identifiers

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.