Evidence map›Paper›PMID 40459750›Full record

ArticleWorld journal of urology2025

Factors influencing computed tomography determined stone-free rates after ureteroscopy in real-world and its impact on retreatment rates at medium-term follow-up.

Diana M Lopategui, Ansh Bhatia, Joao G Porto, Aravindh Rathinam, Jean C Daher, Ryan R Chen, Haikel Haile, Mariam Ahumada, Maggie Meyreles, Jonathan Katz and 2 more

Abstract read
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 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. Trial
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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

12 authors.

Diana M LopateguiDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Ansh BhatiaDepartment of Interventional Radiology, University of Miami, Miller School of Medicine, Miami, USA.
Joao G PortoDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Aravindh RathinamDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Jean C DaherDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Ryan R ChenDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Haikel HaileDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Mariam AhumadaDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Maggie MeyrelesDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Jonathan KatzDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Robert MarcovichDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA.
Hemendra N ShahDesai Sethi Urology Institute, University of Miami, Miller School of Medicine, Miami, USA. drhemendrashah@yahoo.co.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesResidual stone fragments (RFs) following ureteroscopy increase the risk of reintervention. This study assesses stone-free rates (SFR) using non-contrast computed tomography (NCCT), identifies factors influencing SFR, and investigates the relationship between RFs and retreatment rates (RTR).

methodsPatients who underwent ureteroscopy for urolithiasis between September 2017 and March 2024 were included if they had postoperative NCCT. Exclusion criteria include nephrocalcinosis and combined intrarenal surgery. Clinical data, procedural details, and postoperative outcomes were analyzed. Univariate and multivariate Cox regression models assessed factors affecting SFR and RTR. A Kaplan Meier curve analyzed time to retreatment after surgery. KEY FINDINGS AND LIMITATION: Among 457 patients (519 renal units) the true SFR was 42.8%, increasing to 58.4% and 78.6% when RFs < 3 mm and < 4 mm were included. Factors negatively associated with SFR included prior urolithiasis treatment, percutaneous nephrolithotomy, positive urine culture, prior stenting, larger stone size, and mid- or lower-pole stone location. Conversely, exclusively ureteric stones and single stones were associated with higher SFR. On multivariate analysis, positive urine culture, prior urolithiasis treatment, increasing stone size, and mid-pole stone location remained significant predictors of reduced SFR. Logistic regression revealed the odds ratio for RTR with RF > 3 mm versus RF < 3 mm was 7.14 (95% CI: 1.96-24.39). Limitations included the risk of missing some stone-related outcomes during follow-up. CONCLUSIONS AND CLINICAL IMPLICATIONS: The NCCT determined true SFR was 42.8%, with the size of RFs strongly correlating with the RTR. Patients with residual calculi should be counselled about increased risk of retreatment rate.

Indexed as

Kidney CalculiTomography, X-Ray ComputedUreteral CalculiUreteroscopyAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedRetreatmentRetrospective StudiesTime FactorsHolmium laserLaser lithotripsyNon-contrast computed tomography scanResidual stone fragmentsRetreatment. NephrolithiasisStone free rateUreteroscopy

Identifiers

PMID40459750
PMCPMC12133940

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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.