ArticleBMC research notes2020
Enhanced quantitative urine culture technique, a slight modification, in detecting under-diagnosed pediatric urinary tract infection.
Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Research advances on the urinary microbiome in non-infectious urinary tract diseases: from community composition to clinical prospects.Frontiers in cellular and infection microbiology · 2026Review
- Utility of enhanced quantitative urine culture technique for isolation of uro-pathogens in children.Journal of family medicine and primary care · 2025Article
- Synthesis of current pediatric urinary microbiome research.Frontiers in pediatrics · 2024Review
- Support for the Use of a New Cutoff to Define a Positive Urine Culture in Young Children.Pediatrics · 2023Article
- Article
- Clinical relevance of expanded quantitative urine culture in health and disease.Frontiers in cellular and infection microbiology · 2023Review
- [Urinary bladder microbiome analysis and probiotic treatment options for women with recurrent urinary tract infections].Der Urologe. Ausg. A · 2022Review
- A New Gold Rush: A Review of Current and Developing Diagnostic Tools for Urinary Tract Infections.Diagnostics (Basel, Switzerland) · 2021Review
- Nanomaterials for the Diagnosis and Treatment of Urinary Tract Infections.Nanomaterials (Basel, Switzerland) · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe pediatric urinary tract infection (UTI) often remains under-diagnosed or neglected owing to non-specific clinical presentations, patients failing to describe the actual situation and of clinical practice in diagnosis. The study was aimed to determine the etiologies of UTI in children with enhanced quantitative urine culture (EQUC) technique.
resultsOf enrolled 570 pediatric urine samples, the significant growth positivity was higher in EQUC 92 (16.15%) compared to standard urine culture (SUC) 73 (12.80%) technique. 20.6% of the significant isolates as detected with EQUC were missed on the SUC technique. The age group, in range 1-4 years, was more prone to the infection, where E. coli was the commonest pathogen. EQUC detected, probably all isolates, contributing UTI i.e. multidrug-resistant (MDR), extensive drug-resistant (XDR), and extended-spectrum β-lactamase (ESBL) producers, as some of them skipped on the SUC technique. Of total organisms isolated from EQUC, 46% were ESBL producer, 56.5% were MDR, and 1.4% were XDR. However, 40.5% ESBL, 44% MDR but no XDR detected on SUC. Hence a simple modification on conventional culture protocol could be a crucial modification for the detection of etiologies, contributing UTI, and hence to reduce inapt antimicrobial burden.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.