Evidence map›Paper›PMID 36601044›Full record

ArticleEuropean urology open science2023

A Novel Infrared Spectroscopy Method for Analysis of Stone Dust for Establishing Final Composition of Urolithiasis.

Marius Snicorius, Mingaile Drevinskaite, Marius Miglinas, Albertas Cekauskas, Morta Stadulyte, Rimante Bandzeviciute, Justinas Ceponkus, Valdas Sablinskas, Arunas Zelvys

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In one paragraph

Article in European urology open science, 2023. 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
0.6field-weighted citation impact, top 30% of its field
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, 4 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Marius SnicoriusFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, Vilnius, Lithuania.
Mingaile DrevinskaiteFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, Vilnius, Lithuania.
Marius MiglinasFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, Vilnius, Lithuania.
Albertas CekauskasFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, Vilnius, Lithuania.
Morta StadulyteFaculty of Physics, Institute of Chemical Physics, Vilnius University, Vilnius, Lithuania.
Rimante BandzeviciuteFaculty of Physics, Institute of Chemical Physics, Vilnius University, Vilnius, Lithuania.
Justinas CeponkusFaculty of Physics, Institute of Chemical Physics, Vilnius University, Vilnius, Lithuania.
Valdas SablinskasFaculty of Physics, Institute of Chemical Physics, Vilnius University, Vilnius, Lithuania.
Arunas ZelvysFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, Vilnius, Lithuania.
Vilnius University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The introduction of the holmium laser for lithotripsy and minimally invasive techniques in endoscopy increased the popularity of stone dusting techniques. Retrieving stone pieces for an analysis increases the economic burden of surgery and operative time. Novel methods are needed for the analysis of convenient urolithiasis composition. Objective: This study aims to assess the efficacy of the stone dust Fourier transform infrared spectroscopy coupled with attenuated total reflection (FTIR ATR) method for accurate stone composition determination from the dust specimens compared with simultaneously retrieved standard stone fragments. Design setting and participants: From July 2021 to March 2022, a total of 75 patients who received endoscopic treatment for urolithiasis were included in this study. Outcome measurements and statistical analysis: The accuracy of the FTIR ATR method was assessed via estimates of sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV). The results were compared between samples of stone dust and the final stone composition. Results and limitations: Total or partial biochemical composition agreement was observed in 92.7% of cases and total agreement in 82.4% of cases when stone dust was compared with stone fragments. The highest accuracy rates were obtained for uric acid stones: sensitivity 100%, specificity 98.3%, PPV 90.9%, and NPV 100%. Identification of other types of stones was also of high accuracy, reaching up to 83.3% sensitivity and 100% specificity. Conclusions: The application of FTIR ATR spectroscopy for a stone dust analysis allows obtaining easy and cost-effective final composition of urolithiasis without a stone fragment analysis. This technique was shown to be feasible, and there is substantial potential for clinical practice. Patient summary: This study investigates a novel method that determines accurate stone composition without acquiring the pieces of stone during surgery. The results have shown that stone dust Fourier transform infrared spectroscopy coupled with attenuated total reflection provides accurate stone composition.

Indexed as

Calcium oxalate stoneSpectroscopyStone analysisStone compositionStone dustUric acid stoneUrolithiasis

Identifiers

PMID36601044
PMCPMC9806700
OpenAlexW4311617335

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Registered trials

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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.