Evidence map›Paper›PMID 36209157›Full record

ArticleBMC urology2022

Novel scoring system combined with a virtual reality technique for the preoperative evaluation of the stone-free status after flexible ureteroscopy: the H.L.P.E.S. score.

Jianglin Gu, Shengjun Luo, Li Jiang, Daixing Hu, Guozhi Zhao, Wei Tang

Abstract read
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Article in BMC urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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5citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Visual extended reality tools in image-guided surgery in urology: a systematic review.European journal of nuclear medicine and molecular imaging · 2024
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4 · The record

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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

6 authors.

Jianglin GuDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shengjun LuoDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Li JiangDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Daixing HuDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Guozhi ZhaoDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wei TangDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. tangwei2060@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe original S.O.L.V.E. scoring system was modified using virtual reality technology, and a new H.L.P.E.S scoring system was constructed to improve the accuracy of predicting the stone-free rate after flexible ureteroscopy.

methodsWe retrospectively analyzed clinical and virtual reality data of 150 patients with renal calculi who underwent flexible ureteroscopy at the First Affiliated Hospital of Chongqing Medical University, Chongqing, China, from September 2019 to January 2022. Factors affecting the stone-free rate were evaluated in univariate and multiple logical regression analyses. Factors were divided by cut-off value under the receiver-operating characteristic curve and scored accordingly to a well-known international scoring system. Area under the curve predicted the stone-free rate. The accuracy and superiority of the stone-free rate after flexible ureterorenoscopy was compared between this scoring system and the S.O.L.V.E, R.I.R.S, T.O.HO, and RUSS scores.

resultsMultiple logistic regression showed that the stone surface area, renal pelvis volume, and length of the calyces funnel were correlated with stone-free rate (P < 0.01, P = 0.021, P = 0.019, respectively). The H.L.P.E.S. score included stone surface area (1-2 points), renal pelvis volume (1-2 points), length of calyces funnel (1-2 points), pelvic calyceal height (1-2 points), and essence of stone (1-2 points). The area under the receiver-operating characteristic curve of H.L.P.E.S. score was 0.927, which was higher than the S.O.L.V.E., R.I.R.S., T.O.HO, and RUSS scores.

conclusionH.L.P.E.S. scoring can effectively predict the stone-free rate after flexible ureteroscopy for renal calculi and is superior to other scoring systems.

Indexed as

Kidney CalculiVirtual RealityHumansRetrospective StudiesTreatment OutcomeUreteroscopyFlexible ureteroscopyH.L.P.E.S scoreRenal calculiStone-free rateUreteroscopy lithotripsyUrolithiasis

Identifiers

PMID36209157
PMCPMC9547458

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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.