Evidence map›Paper›PMID 28652122›Full record

Observational studyThe Journal of urology2017

Predictors of Hospital Admission and Urological Intervention in Adult Emergency Department Patients with Computerized Tomography Confirmed Ureteral Stones.

Brock Daniels, Elizabeth Schoenfeld, Andrew Taylor, Karrin Weisenthal, Dinesh Singh, Christopher L Moore

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The Journal of urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Are renal stone protocol computed tomography reports giving us enough information?Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. 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

6 authors at 3 institutions in 1 country.

Brock DanielsDepartment of Emergency Medicine, School of Medicine, University of California-Davis, Sacramento, California. Electronic address: brockdaniels@gmail.com.
Elizabeth SchoenfeldDepartment of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, Massachusetts.
Andrew TaylorDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Karrin WeisenthalDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Dinesh SinghDepartment of Urology, Yale University School of Medicine, New Haven, Connecticut.
Christopher L MooreDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Yale University · USBaystate Medical Center · USUniversity of California, Davis · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Quality Safety Comparative Effectiveness Research Training (QSCERT)T32HS022236 · AHRQ · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MELNIKOW, JOY · 2013 to 2018
$2.1M
Identifying Unnecessary Irradiation of Patients with Suspected Renal ColicR01HS018322 · AHRQ · YALE UNIVERSITY · PI MOORE, CHRISTOPHER L · 2010 to 2013
$2.0M
AHRQ HHS R01 HS018322AHRQ HHS T32 HS022236NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

purposeMore than 1 million patients annually seek care in an emergency department for kidney stones but a minority require hospital admission or a urological procedure. We describe predictors of hospital admission or urological intervention. MATERIALS AND

methodsThis secondary analysis of prospective data included patients with an obstructing ureteral stone that was confirmed by computerized tomography in an emergency department. All patients also underwent point of care limited renal ultrasound. The need for urological intervention at 90 days was assessed by a followup interview. Logistic regression was used to identify predictors of admission and urological intervention, which were further stratified by disposition. Separate regression models with and without computerized tomography findings (point of care limited renal ultrasound only) were compared using c-statistics.

resultsAmong a cohort of 475 patients with a symptomatic stone on computerized tomography 95 (20%) were admitted and 68 (72%) received an intervention. Of 380 discharged patients 66 (17%) required urological intervention. Admitted patients were more likely to have undergone a prior procedure, have evidence of kidney injury or infection, need opiate analgesia or have larger stones or hydronephrosis on point of care limited renal ultrasound. Predictors of intervention varied by disposition. However, regression models with and without computerized tomography findings demonstrated similar c-statistics. Discharged patients with larger stones, a longer pain duration at presentation and prior procedures were more likely to undergo intervention.

conclusionsIntervention was common among admitted patients but it occurred in a minority of those discharged. Predictors of intervention varied by disposition. Models incorporating computerized tomography findings were similar to those that did not incorporate such findings. These data support ultrasound first or delayed computerized tomography diagnostic pathways for patients deemed clinically suitable for discharge home.

Indexed as

Emergency TreatmentTomography, X-Ray ComputedAdultEmergency Service, HospitalFemaleForecastingHumansHydronephrosisKidneyMaleMiddle AgedModels, StatisticalPatient AdmissionProspective StudiesUltrasonographyUreteral Calculidiagnostic imagingemergency servicehospitalkidney calculitomographyultrasonographyx-ray computed

Identifiers

PMID28652122
PMCPMC5693671
OpenAlexW2642280639

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.