Evidence map›Paper›PMID 40570825›Full record

ReviewKidney & blood pressure research2025

Genome-Based Advances in Modeling Renal Ciliopathies and Enhancing Patient Care.

Floriana Secondulfo, Francesca Del Vecchio Blanco, Giovanna Capolongo, Giulio Piluso, Vincenzo Nigro, Alessandra F Perna, Giovambattista Capasso, Miriam Zacchia

Abstract readReview
In one paragraph

Review in Kidney & blood pressure research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Floriana SecondulfoDepartment of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Francesca Del Vecchio BlancoDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Giovanna CapolongoDepartment of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Giulio PilusoDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Vincenzo NigroDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Alessandra F PernaDepartment of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Giovambattista CapassoBiogem, Ariano Irpino, Italy.
Miriam ZacchiaDepartment of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic diseases collectively affect more than 300 million individuals worldwide, posing a significant health burden, as diagnosis is often challenging and therapeutic options are limited. Recent genetic technological advancements are improving the management of many inherited disorders, including genetic kidney disorders (GKDs), the leading cause of early-onset chronic kidney disease (CKD) and the cause of 10-15% of kidney replacement therapy in adults. SUMMARY: GKDs fall into different clinical categories, including cystic and fibro-cystic diseases in the setting of ciliopathies, rare conditions caused by the dysfunction of the primary cilium, typically characterized by multiorgan dysfunction. CKD is a significant cause of morbidity and mortality in these patients and a correct diagnosis is crucial for patient's management. KEY MESSAGE: The present review analyzes whether advances in genomic technologies have provided benefit in the ciliopathy field, in both modeling renal diseases and improving patient's care.

Indexed as

CiliopathiesGenomicsKidney DiseasesPatient CareAnimalsHumansRenal Insufficiency, ChronicChronic kidney diseaseCiliopathiesCystsGenetics

Identifiers

PMID40570825
PMCPMC12503458

What OpenQuestion holds

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LicenceCC BY-NC
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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.