Evidence map›Paper›PMID 26440490›Full record

Observational studyAnnals of emergency medicine2016

External Validation of the STONE Score, a Clinical Prediction Rule for Ureteral Stone: An Observational Multi-institutional Study.

Ralph C Wang, Robert M Rodriguez, Michelle Moghadassi, Vicki Noble, John Bailitz, Mike Mallin, Jill Corbo, Tarina L Kang, Phillip Chu, Steve Shiboski and 1 more

Open access · hybridAbstract readMulticenter StudyObservational StudyValidation Study
In one paragraph

Observational study in Annals of emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 68 citations in OpenAlex.

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  12. Earlier point-of-care ultrasound, shorter length of stay in patients with acute flank pain.Scandinavian journal of trauma, resuscitation and emergency medicine · 2022
    Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Ralph C WangDepartment of Emergency Medicine, University of California, San Francisco, San Francisco, CA. Electronic address: ralph.wang@ucsf.edu.
Robert M RodriguezDepartment of Emergency Medicine, University of California, San Francisco, San Francisco, CA.
Michelle MoghadassiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA.
Vicki NobleDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, MA.
John BailitzDepartment of Emergency Medicine, John H. Stroger Jr. Hospital of Cook County, Chicago, IL.
Mike MallinDivision of Emergency Medicine, University of Utah, Salt Lake City, UT.
Jill CorboDepartment of Emergency Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, New York, NY.
Tarina L KangDepartment of Emergency Medicine, Los Angeles County at the University of Southern California, Los Angeles, CA.
Phillip ChuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA.
Steve ShiboskiDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.
Rebecca Smith-BindmanDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.
University of California, San Francisco · USJacobi Medical Center · USJohn H. Stroger, Jr. Hospital of Cook County · USMassachusetts General Hospital · USUniversity of Southern California · USUniversity of Utah · US

Funding

Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
RCT of US versus CT for Patients in the ED with Suspected Renal ColicR01HS019312 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SMITH-BINDMAN, REBECCA · 2010 to 2010
$9.2M
Risk of Cancer in Incidental Findings Identified on Ultrasound ImagingK24CA125036 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SMITH-BINDMAN, REBECCA · 2008 to 2013
$816k
Advancing the Quality of Emergency Department Renal Stone ManagementK08HS021281 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WANG, RALPH C. · 2013 to 2017
$777k
AHRQ HHS K08 HS021281AHRQ HHS K08 HS02181AHRQ HHS R01 HS019312AHRQ HHS R01HS019312NCATS NIH HHS 8 KL2TR000143-08NCATS NIH HHS KL2 TR000143NCI NIH HHS K24 CA125036
6 · The paper itself

Abstract

STUDY

objectiveThe STONE score is a clinical decision rule that classifies patients with suspected nephrolithiasis into low-, moderate-, and high-score groups, with corresponding probabilities of ureteral stone. We evaluate the STONE score in a multi-institutional cohort compared with physician gestalt and hypothesize that it has a sufficiently high specificity to allow clinicians to defer computed tomography (CT) scan in patients with suspected nephrolithiasis.

methodsWe assessed the STONE score with data from a randomized trial for participants with suspected nephrolithiasis who enrolled at 9 emergency departments between October 2011 and February 2013. In accordance with STONE predictors, we categorized participants into low-, moderate-, or high-score groups. We determined the performance of the STONE score and physician gestalt for ureteral stone.

resultsEight hundred forty-five participants were included for analysis; 331 (39%) had a ureteral stone. The global performance of the STONE score was superior to physician gestalt (area under the receiver operating characteristic curve=0.78 [95% confidence interval {CI} 0.74 to 0.81] versus 0.68 [95% CI 0.64 to 0.71]). The prevalence of ureteral stone on CT scan ranged from 14% (95% CI 9% to 19%) to 73% (95% CI 67% to 78%) in the low-, moderate-, and high-score groups. The sensitivity and specificity of a high score were 53% (95% CI 48% to 59%) and 87% (95% CI 84% to 90%), respectively.

conclusionThe STONE score can successfully aggregate patients into low-, medium-, and high-risk groups and predicts ureteral stone with a higher specificity than physician gestalt. However, in its present form, the STONE score lacks sufficient accuracy to allow clinicians to defer CT scan for suspected ureteral stone.

Indexed as

Tomography, X-Ray ComputedAdultDecision Support TechniquesEmergency Service, HospitalFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'Randomized Controlled Trials as TopicReproducibility of ResultsRisk AssessmentSensitivity and SpecificityUltrasonographyUnited StatesUreteral Calculi

Identifiers

PMID26440490
PMCPMC4808407
OpenAlexW2201381899

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.