Evidence map›Paper›PMID 40042283›Full record

ArticleMicrobiology spectrum2025

Exploring the association between the degree of pyuria and urinary tract infections.

Hsin Tien, Katherine Bond, Wei Hong, Katie Cronin, Eddie Chan

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Hsin TienDepartment of General Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia.ORCID 0000-0001-6327-9908
Katherine BondDepartment of Infectious Diseases, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Wei HongPersonalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Katie CroninDepartment of Infectious Diseases, Royal Melbourne Hospital, Parkville, Victoria, Australia.ORCID 0000-0002-9845-1760
Eddie ChanDepartment of Microbiology, Royal Melbourne Hospital, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to define the optimal white cell count threshold that correlates with a clinically significant urinary tract infection, as there is insufficient data exploring this in the adult population. We conducted a retrospective cohort study at the Royal Melbourne Hospital analyzing urine samples collected over 6 months in 2022. Urinary tract infection (UTI) was defined as the presence of symptoms (dysuria, urgency, frequency, flank pain, or loin to groin pain) and isolation of a uropathogen with colony counts greater than 10 IMPORTANCE: The importance of this study is that it explores the optimal range of white cell count that defines a clinically significant urinary tract infection. The traditional cutoff of more than 10 white blood cells per microliter is often used; however, we now recognize that using this cutoff may not accurately represent true urinary infections, especially in certain populations such as young women. The uncertainty in the optimal white cell count cutoff has widespread implications. For the clinician, it may lead to unnecessary prescribing of antibiotics for patients who do not have a Urinary tract infection, such as asymptomatic bacteriuria. For the microbiology laboratory, it may lead to unnecessary workup and culture of urine samples that are not clinically relevant. Many studies to date have attempted to define an optimal value for urinary white cell count; however, not many have incorporated relevant clinical data, which this study has.

Indexed as

PyuriaUrinary Tract InfectionsAdolescentAdultAgedAged, 80 and overBacteriaFemaleHumansLeukocyte CountMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityUrineYoung Adultantimicrobial stewardshippyuriaurinary tract infection

Identifiers

PMID40042283
PMCPMC11960134

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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.