Evidence map›Paper›PMID 38170521›Full record

Observational studyJAMA network open2024

Incidence of Pediatric Urinary Tract Infections Before and During the COVID-19 Pandemic.

Danni Liang, Marie E Wang, Alex Dahlen, Yungting Liao, Andrew C Saunders, Eric R Coon, Alan R Schroeder

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
14.4field-weighted citation impact, top 1% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Epidemiological profile of urinary tract infections in children before and during the COVID-19 pandemic: an observational study.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2026
    Observational
  5. Extended-Spectrum β-Lactamase-ProducingAntibiotics (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors at 2 institutions in 1 country.

Danni LiangDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California.
Marie E WangDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California.
Alex DahlenQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Yungting LiaoDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California.
Andrew C SaundersDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California.
Eric R CoonDepartment of Pediatrics, Primary Children's Hospital and University of Utah School of Medicine, Salt Lake City.
Alan R SchroederDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California.
Stanford University · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceUrinary tract infection (UTI) is common in children, but the population incidence is largely unknown. Controversy surrounds the optimal diagnostic criteria and how to balance the risks of undertreatment and overtreatment. Changes in health care use during the COVID-19 pandemic created a natural experiment to examine health care use and UTI diagnosis and outcomes.

objectivesTo examine the population incidence of UTI in children and assess the changes of the COVID-19 pandemic regarding UTI diagnoses and measures of UTI severity. DESIGN, SETTING, AND

participantsThis retrospective observational cohort study used US commercial claims data from privately insured patients aged 0 to 17 years from January 1, 2016, to December 31, 2021. EXPOSURE: Time periods included prepandemic (January 1, 2016, to February 29, 2020), early pandemic (April 1 to June 30, 2020), and midpandemic (July 1, 2020, to December 31, 2021). MAIN OUTCOMES AND MEASURES: The primary outcome was the incidence of UTI, defined as having a UTI diagnosis code with an accompanying antibiotic prescription. Balancing measures included measures of UTI severity, including hospitalizations and intensive care unit admissions. Trends were evaluated using an interrupted time-series analysis.

resultsThe cohort included 13 221 117 enrollees aged 0 to 17 years, with males representing 6 744 250 (51.0%) of the population. The mean incidence of UTI diagnoses was 1.300 (95% CI, 1.296-1.304) UTIs per 100 patient-years. The UTI incidence was 0.86 per 100 patient-years at age 0 to 1 year, 1.58 per 100 patient-years at 2 to 5 years, 1.24 per 100 patient-years at 6 to 11 years, and 1.37 per 100 patient-years at 12 to 17 years, and was higher in females vs males (2.48 [95% CI, 2.46-2.50] vs 0.180 [95% CI, 0.178-0.182] per 100 patient-years). Compared with prepandemic trends, UTIs decreased in the early pandemic: -33.1% (95% CI, -39.4% to -26.1%) for all children and -52.1% (95% CI, -62.1% to -39.5%) in a subgroup of infants aged 60 days or younger. However, all measures of UTI severity decreased or were not significantly different. The UTI incidence returned to near prepandemic rates (-4.3%; 95% CI, -32.0% to 34.6% for all children) after the first 3 months of the pandemic. CONCLUSIONS AND RELEVANCE: In this cohort study, UTI diagnosis decreased during the early pandemic period without an increase in measures of disease severity, suggesting that reduced overdiagnosis and/or reduced misdiagnosis may be an explanatory factor.

Indexed as

COVID-19Urinary Tract InfectionsChildCohort StudiesFemaleHumansIncidenceInfantInfant, NewbornMalePandemicsRetrospective Studies

Identifiers

PMID38170521
PMCPMC10765266
OpenAlexW4390546686

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.