Evidence map›Paper›PMID 41212341›Full record

ArticleWorld journal of urology2025

Evolution of renal function after ureteroscopy in solitary kidney.

Charles Jaouen, Olivier Traxer, Stefano Moretto, Federico Zorzi, Alberto Quarà, Alejandra Bravo-Balado, Letizia Maria Ippolita Jannello, Luigi Candela, Mariela Corrales, Marie Chicaud and 9 more

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of urology, 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. 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

19 authors.

Charles JaouenEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Olivier TraxerEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Stefano MorettoEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Federico ZorziEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Alberto QuaràEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Alejandra Bravo-BaladoEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Letizia Maria Ippolita JannelloEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Luigi CandelaEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Mariela CorralesEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Marie ChicaudEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Stessy KutchukianEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Bastien LandreatEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Zine-Eddine KheneDepartment of Urology, Rennes University Hospital, 2 Rue Henri le Guilloux, Rennes, 35000, France.
Thibaut CultyDepartment of Urology, Angers University Hospital, 4 Rue Larrey, Angers, 49100, France.
Souhil LebdaiDepartment of Urology, Angers University Hospital, 4 Rue Larrey, Angers, 49100, France.
Daron SmithEndourology Technology Section of European Association of Urology (EAU), Arnhem, The Netherlands.
Steeve DoiziEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France.
Pierre BigotDepartment of Urology, Angers University Hospital, 4 Rue Larrey, Angers, 49100, France.
Frédéric PanthierEndolase-GRC n°20, Groupe de Recherche Clinique sur la Lithiase Urinaire, Sorbonne University, Paris, 75020, France. fredericpanthier@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFlexible Ureteroscopy (FURS) in patients with a solitary kidney (SK) has been sparsely studied, especially its safety. Available literature suggests that the renal function remains stable after FURS with low evidence. We aimed to assess and predict the postoperative renal function after FURS in patients with SK, using Machine Learning (ML) models.

methodsA dualcenter retrospective study was conducted between 2013 and 2023, including patients undergoing FURS in solitary kidneys. Demographic, peri-operative data, pre- and postoperative serum creatinine and estimated Glomerular Filtration Rate(eGFR) were collected. Multivariate analysis intended to identify risk factors for renal function decline. After data splitting, 12 ML models were trained and tested to predict the 3 months postoperative serum creatinine.

resultsA total of 87 patients were included. 84% were treated for urinary stones, 11% for upper tract urothelial carcinoma(UTUC), and 4% for ureteral stricture. With a mean follow-up of 32 months, the serum creatinine remained stable at 3-month and long-term follow-ups (- 0.4 mmol/L, p = 0.77 and - 2 mmol/L, p = 0.57), despite a transient early elevation (+ 14.4 mmol/L, p = 0.00069). Multiple linear regression identified six significant predictors of postoperative renal function modification: enterocystoplasty, renal agenesis, Candida albicans in preoperative urine culture, elevated preoperative serum creatinine, and preoperative JJ stent for renal colic or obstructive pyelonephritis. After training, the "Stacking" Ensemble model presented the lowest mean absolute error between pre- and postoperative(3months) serum creatinine (4% vs 17% without ML) in the test group.

conclusionFURS seems safe in patients with SK, with transient renal function effects. Accurate predictive models could improve patient management, helping to prevent renal impairment, with better patient selection.

Indexed as

KidneyPostoperative ComplicationsSolitary KidneyUreteroscopyAdultAgedCreatinineFemaleGlomerular Filtration RateHumansMachine LearningMaleMiddle AgedRetrospective StudiesCreatinineAcute kidney injuryPredictive modelRenal functionSolitary kidneyUreteroscopy

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.