Evidence map›Paper›PMID 34546950›Full record

SynthesisAnnals of family medicine

Clinical Features for the Diagnosis of Pediatric Urinary Tract Infections: Systematic Review and Meta-Analysis.

Hanne A Boon, Ann Van den Bruel, Thomas Struyf, Andreas Gillemot, Dominique Bullens, Jan Y Verbakel

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  10. GPs' perspectives on diagnosing childhood urinary tract infections: a qualitative study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    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 2 countries.

Hanne A BoonEPI-Centre, Academic Centre for Primary Care, Katholieke Universiteit Leuven, Leuven, Belgium.
Ann Van den BruelEPI-Centre, Academic Centre for Primary Care, Katholieke Universiteit Leuven, Leuven, Belgium.
Thomas StruyfEPI-Centre, Academic Centre for Primary Care, Katholieke Universiteit Leuven, Leuven, Belgium.
Andreas GillemotEPI-Centre, Academic Centre for Primary Care, Katholieke Universiteit Leuven, Leuven, Belgium.
Dominique BullensDepartment of Microbiology, Immunology and Transplantation, Katholieke Universiteit Leuven, Leuven, Belgium.
Jan Y VerbakelEPI-Centre, Academic Centre for Primary Care, Katholieke Universiteit Leuven, Leuven, Belgium jan.verbakel@kuleuven.be.
KU Leuven · BEUniversitair Ziekenhuis Leuven · BEUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccurate diagnosis of urinary tract infection in children is essential because children left untreated can experience permanent renal injury. We aimed to assess the diagnostic value of clinical features of pediatric urinary tract infection.

methodsWe performed a systematic review and meta-analysis of diagnostic test accuracy studies in ambulatory care. We searched the PubMed, Embase, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Cochrane Central Register of Controlled Trials, Health Technology Assessment, and Database of Abstracts of Reviews of Effects databases from inception to January 27, 2020 for studies reporting 2 × 2 diagnostic accuracy data for clinical features compared with urine culture in children aged <18 years. For each clinical feature, we calculated likelihood ratios and posttest probabilities of urinary tract infection. To estimate summary parameters, we conducted a bivariate random effects meta-analysis and hierarchical summary receiver operating characteristic analysis.

resultsA total of 35 studies (N = 78,427 patients) of moderate to high quality were included, providing information on 58 clinical features and 6 prediction rules. Only circumcision (negative likelihood ratio [LR-] 0.24; 95% CI, 0.08-0.72; n = 8), stridor (LR- 0.20; 95% CI, 0.05-0.81; n = 1), and diaper rash (LR- 0.13; 95% CI, 0.02-0.92; n = 1) were useful for ruling out urinary tract infection. Body temperature or fever duration showed limited diagnostic value (area under the receiver operating characteristic curve 0.61; 95% CI, 0.47-0.73; n = 16). The Diagnosis of Urinary Tract Infection in Young Children score, Gorelick Scale score, and UTIcalc (https://uticalc.pitt.edu) might be useful to identify children eligible for urine sampling.

conclusionsFew clinical signs and symptoms are useful for diagnosing or ruling out urinary tract infection in children. Clinical prediction rules might be more accurate; however, they should be validated externally. Physicians should not restrict urine sampling to children with unexplained fever or other features suggestive of urinary tract infection.

Indexed as

Urinary Tract InfectionsChildChild, PreschoolDiagnostic Tests, RoutineFeverHumansMaleROC CurveUrinalysisdiagnostic testingprimary care issuesquantitative methods: meta-analysisspecial population: adolescentsspecial population: children/infantsurinary tract problems

Identifiers

PMID34546950
PMCPMC8437566
OpenAlexW3199653202

What OpenQuestion holds

Textmetadata
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.