Evidence map›Paper›PMID 39651399›Full record

ReviewEuropean urology open science2025

Which Measure of Stone Burden is the Best Predictor of Interventional Outcomes in Urolithiasis: A Systematic Review and Meta-analysis by the YAU Urolithiasis Working Group and EAU Urolithiasis Guidelines Panel.

Robert Geraghty, Amelia Pietropaolo, Lazaros Tzelves, Riccardo Lombardo, Helene Jung, Andreas Neisius, Ales Petrik, Bhaskar K Somani, Niall F Davis, Giovanni Gambaro and 3 more

Abstract readReview
In one paragraph

Review in European urology open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

13 authors.

Robert GeraghtyDepartment of Urology, Freeman Hospital, Newcastle-upon-Tyne, UK.
Amelia PietropaoloDepartment of Urology, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Lazaros TzelvesUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Riccardo LombardoUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Helene JungUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Andreas NeisiusUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Ales PetrikUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Bhaskar K SomaniUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Niall F DavisUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Giovanni GambaroUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Romain BoissierYoung Academic Urologists Urolithiasis Working Group, European Association of Urology, Arnhem, The Netherlands.
Andreas SkolarikosUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.
Thomas TaillyUrolithiasis Guidelines Panel, European Association of Urology, Arnhem, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Stone size has traditionally been measured in one dimension. This is reflected in most of the literature and in the EAU guidelines. However, recent studies have shown that multidimensional measures provide better prediction of outcomes. Methods: We performed a systematic review and meta-analysis of the prognostic accuracy of measures of stone size (PROSPERO reference CRD42022346967). We considered all studies reporting prognostic accuracy statistics on any intervention for kidney stones (extracorporeal shockwave lithotripsy [ESWL], ureterorenoscopy [URS], or percutaneous nephrolithotomy [PCNL]; Population) using multiplane measurements of stone burden (area in mm Key findings and limitations: Of 24 studies included in the review, 12 were eligible for comparative analysis with the DeLong test following meta-analysis of prognostic accuracy. For prediction of stone-free status, the area under the ROC curve (AUC) was significantly higher for stone volume than for stone size (0.71 vs 0.67; Conclusions and clinical implications: According to the limited data currently available, stone-free rates are predicted with significantly higher accuracy using multidimensional measures of stone burden in comparison to a single linear measurement. Patient summary: We reviewed different ways of measuring the size of stones in the kidney or urinary tract and compared their accuracy in predicting stone-free rates after treatment. We found that measurement of the stone area (2 dimensions) or stone volume (3 dimensions) is better than stone diameter (1 dimension) in predicting stone-free status after treatment.

Indexed as

GuidelinesMultidimensional measuresPredictorSingle linear measurementStone burdenStone-free rateUrolithiasis

Identifiers

PMID39651399
PMCPMC11625283

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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.