Evidence map›Paper›PMID 34573910›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Spontaneous Upper Urinary Tract Rupture Caused by Ureteric Stones: Clinical Characteristics and Validation of a Radiological Classification System.

Carolina Bebi, Matteo Giulio Spinelli, Gianpaolo Lucignani, Pierpaolo Biondetti, Laura Martinetti, Irene Fulgheri, Elisa De Lorenzis, Giancarlo Albo, Annamaria Ierardi, Franco Palmisano and 4 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

14 authors at 2 institutions in 1 country.

Carolina BebiDepartment of Urology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Matteo Giulio SpinelliDepartment of Urology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Gianpaolo LucignaniDepartment of Urology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Pierpaolo BiondettiDepartment of Radiology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.ORCID 0000-0002-2737-2053
Laura MartinettiDepartment of Radiology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Irene FulgheriDepartment of Radiology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Elisa De LorenzisDepartment of Urology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.ORCID 0000-0002-5961-9874
Giancarlo AlboDepartment of Urology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Annamaria IerardiDepartment of Radiology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Franco PalmisanoDepartment of Urology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Andrea SaloniaDivision of Experimental Oncology, Unit of Urology, URI, IRCCS Ospedale San Raffaele, 20131 Milan, Italy.ORCID 0000-0002-0595-7165
Gianpaolo CarrafielloDepartment of Radiology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Emanuele MontanariDepartment of Urology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
Luca BoeriDepartment of Urology, Foundation IRCCS Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy.
University of Milan · ITIRCCS Ospedale San Raffaele · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study seeks to validate a radiological classification system of spontaneous upper urinary tract rupture (sUUTR) and to analyse its relationship with clinical, laboratory and radiological characteristics of sUUTR.

methodsWe analysed data from 66 patients with a computerised tomography (CT)-proven sUUTR treated with ureteral or nephrostomy catheter positioning. Comorbidities were scored with the Charlson Comorbidity Index (CCI). All CT scans were reviewed by two experienced radiologists and one urologist, who classified sUUTR in (a) local spread, (b) free fluid and (c) urinoma. Interobserver agreement for radiological score was evaluated with the Intraclass Correlation Coefficient (ICC) and Cohen's Kappa analyses. Descriptive statistics and logistic regression models verified the association between clinical variables and sUUTR severity.

resultsThe interobserver agreement for sUUTR classification was high among radiologists and between the radiologists and the urologist (all Kappa > 0.7), with an overall high interrater reliability (ICC 0.82). Local spread, free fluid and urinoma were found in 24 (36.4%), 39 (59.1%) and 3 (4.5%) cases, respectively. Patients with free fluid/urinoma had higher rate of CCI ≥ 1 than those with local spread (40.5% vs. 16.7%,

conclusionsThe analysed sUUTR classification score had good inter/intra-reader reliability among radiologists and urologists. Absence of urine extravasation was five times more frequent in patients with local spread, making conservative treatment feasible in these cases.

Indexed as

classification systememergencyradiologyspontaneous upper urinary tract ruptureureteric stones

Identifiers

PMID34573910
PMCPMC8471042
OpenAlexW3198722108

What OpenQuestion holds

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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.