Evidence map›Paper›PMID 37607649›Full record

ArticleThe Journal of pediatrics2023

External Validation of the UTICalc with and Without Race for Pediatric Urinary Tract Infection.

Anna G Smith, Anisha Kshetrapal, Lindsay Boles, Norma-Jean E Simon, Marcia Kurs-Lasky, Timothy R Shope, Nader Shaikh, Sriram Ramgopal

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 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
5.2field-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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Urinary tract infections in children.Nature reviews. Urology · 2026
    Review
  2. Article
  3. Article
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

8 authors at 3 institutions in 1 country.

Anna G SmithDepartment of Emergency Medicine, University of Illinois at Chicago College of Medicine, Chicago, IL; Division of Emergency Medicine, Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital, Chicago, IL.
Anisha KshetrapalDivision of Emergency Medicine, Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital, Chicago, IL.
Lindsay BolesDepartment of Pediatrics, Ann and Robert H. Lurie Children's Hospital, Chicago, IL; Section of Emergency Medicine, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI.
Norma-Jean E SimonDivision of Emergency Medicine, Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital, Chicago, IL.
Marcia Kurs-LaskyDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Timothy R ShopeDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Nader ShaikhDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Sriram RamgopalDivision of Emergency Medicine, Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital, Chicago, IL. Electronic address: sramgopal@luriechildrens.org.
Lurie Children's Hospital · USUniversity of Pittsburgh · USChildren's Hospital of Wisconsin · US

Funding

Biomarkers for Urinary Tract Infection and PyelonephritisR01DK118033 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SHAIKH, NADER · 2019 to 2024
$2.7M
NIDDK NIH HHS R01 DK118033
6 · The paper itself

Abstract

objectiveTo validate externally the UTICalc, a popular clinical decision support tool used to determine the risk of urinary tract infections (UTIs) in febrile children, and compare its performance with and without the inclusion of race and at differing risk thresholds.

methodsWe performed a retrospective, singlecenter case-control study of febrile children (2-24 months) in an emergency department. Cases with culture-confirmed UTI were matched 1:1 to controls. We compared the performance of the original model which included race (version 1.0) to a revised model which did not consider race (version 3.0). We evaluated model performance at risk thresholds between 2% and 5%.

resultsWe included 185 cases and 197 controls (median age 8.4 months; IQR, 4.4-13.0 months; 60.5% girls). When using UTICalc version 1.0, the model area under the receiver operator characteristic curve (AUROC) was 73.4% (95% CI 68.4%-78.5%), which was similar to the version 3.0 model (73.8%; 95% CI 68.7%-78.8%). When using a 2% risk threshold, the version 3.0 model demonstrated a sensitivity of 96.7% and a specificity of 25.0%, with declines in sensitivity and gains in specificity at higher risk thresholds. Version 1.0 of the UTICalc had 12 false negatives, of whom 10 were Black (83%); whereas version 3.0 had 6 false negatives, of whom 2 were Black (33%).

conclusionsVersions of the UTICalc with and without race had similar performance to each other with a slight decline from the original derivation sample. The removal of race did not adversely affect the accuracy of the UTICalc.

Indexed as

Urinary Tract InfectionsCase-Control StudiesChildFemaleHumansInfantMaleRetrospective Studies

Identifiers

PMID37607649
PMCPMC13004636
OpenAlexW4386013036

What OpenQuestion holds

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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.