Evidence map›Paper›PMID 38481491›Full record

ReviewKidney international reports2024

Monogenic Kidney Diseases in Kidney Transplantation.

Valentine Gillion, Arnaud Devresse, Eric Olinger, Géraldine Dahlqvist, Nathalie Demoulin, Nathalie Godefroid, Kathleen Claes, Olivier Devuyst, Nada Kanaan

Abstract readReview
In one paragraph

Review in Kidney international reports, 2024. 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. Review
  2. Article
  3. Frequency of adding salt is a stronger predictor of chronic kidney disease in individuals with genetic risk.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025
    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

9 authors.

Valentine GillionDepartment of Nephrology, Cliniques universitaires Saint-Luc, Brussels, Belgium.
Arnaud DevresseDepartment of Nephrology, Cliniques universitaires Saint-Luc, Brussels, Belgium.
Eric OlingerCenter for Human Genetics, Cliniques universitaires Saint-Luc, Brussels, Belgium.
Géraldine DahlqvistInstitut de Recherche Experimentale et Clinique, Université catholique de Louvain, Brussels, Belgium.
Nathalie DemoulinDepartment of Nephrology, Cliniques universitaires Saint-Luc, Brussels, Belgium.
Nathalie GodefroidInstitut de Recherche Experimentale et Clinique, Université catholique de Louvain, Brussels, Belgium.
Kathleen ClaesDepartment of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.
Olivier DevuystDepartment of Nephrology, Cliniques universitaires Saint-Luc, Brussels, Belgium.
Nada KanaanDepartment of Nephrology, Cliniques universitaires Saint-Luc, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monogenic kidney diseases are involved in up to 15% of end-stage kidney diseases (ESKDs) in adults, and in 70 % of pediatric patients. When these disorders lead to kidney failure (KF), kidney transplantation (KT) is the preferred mode of replacement therapy. KT requires specific considerations depending on the nature of the genetic disorder, the potential oncological risk, the risk of recurrence in the graft, the possibility of specific complications of immunosuppression, and the issue of living donation. The availability of genetic testing should play an increasing role in the evaluation of patients or related living donor candidates before transplantation, relevant for the pretransplantation and posttransplantation management.

Indexed as

genetic testingimmunosuppressionliving donationMendelian diseasesoncological transformationrecurrence risk

Identifiers

PMID38481491
PMCPMC10927483

What OpenQuestion holds

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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.