Evidence map›Paper›PMID 36629914›Full record

ArticleUrolithiasis2023

Can additional variables be used to predict stone-free rates following retrograde intrarenal surgery? Anticoagulants and parenchyma thickness: a detailed examination.

Ümit Yildirim, Mehmet Ezer, Mehmet Uslu, Rasim Güzel, Kemal Sarica

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Article in Urolithiasis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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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

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ümit YildirimMedical School, Department of Urology, Kafkas University, Şehitler Mah., Kafkas Ünv., 36100, Merkez/Kars, Turkey. dr.umityildirim87@gmail.com.ORCID http://orcid.org/0000-0003-3065-9001
Mehmet EzerMedical School, Department of Urology, Kafkas University, Şehitler Mah., Kafkas Ünv., 36100, Merkez/Kars, Turkey.ORCID http://orcid.org/0000-0003-4422-6768
Mehmet UsluMedical School, Department of Urology, Kafkas University, Şehitler Mah., Kafkas Ünv., 36100, Merkez/Kars, Turkey.ORCID http://orcid.org/0000-0002-8370-3793
Rasim GüzelDepartment of Urology, Medistate Kavacık Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-1886-5235
Kemal SaricaMedical School, Department of Urology, Biruni University, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-2473-1313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this article is to identify the factors that predict the success of retrograde intrarenal surgery (RIRS), with a focus on the effect of renal parenchymal thickness and anticoagulant use on stone-free rates. From February 2014 to April 2022, cases of kidney stones treated with RIRS at our clinic were retrospectively screened. The study included 642 cases meeting all inclusion and exclusion criteria. The patients who were observed to be stone free after a single session of RIRS were assigned to Group F, while those with residual fragments were assigned to Group R. Group F comprised 472 patients, while Group R included 170 patients. The two groups have compared certain preoperative and postoperative laboratory and radiological parameters. The infundibulopelvic angle was significantly more acute in Group R (45.63 ± 16.25 vs. 49.28 ± 15.36, p = 0.011) while patients in Group F tended to have thicker parenchyma (27.39 ± 8.38 vs. 22.88 ± 5.56, p < 0.001). In our analysis of multivariate logistic regression, stone size (OR: 1.074, 1.037-1.113; p < 0.001), lower calyceal location (OR: 0.550, 95% CI 0.364-0.831; p = 0.005), multiple numbers of stones (OR 0.254, 95% CI 0.166-0.389; p =  < 0.001), the value of parenchymal thickness (OR 0.911, 95% CI 0.882-0.941; p =  < 0.001) and more importantly use of anticoagulants/antiplatelets (OR 0.557, 95% CI 0.333-0.933; p = 0.026) appeared to be independent predictors of stone-free status after RIRS. Further evaluation of the data revealed that the cut-off value of the renal parenchymal thickness for an effective stone-free status in a ROC curve analysis was 24.5 with 62.9% sensitivity and 56.8% specificity (area under curve value: 0.654 [95% CI 0.608-0.699, p < 0.001]). The endourologist may be able to make more informed decisions by evaluating renal parenchymal thickness in addition to patient-related factors like anticoagulant use, which we find significantly affects outcomes, along with the stone and renal anatomy-related factors.

Indexed as

AnticoagulantsKidney CalculiHumansKidneyRetrospective StudiesTreatment OutcomeAnticoagulantsAnticoagulantsKidney stonesParenchymal thicknessRetrograde intrarenal surgery

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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.