Evidence map›Paper›PMID 31149401›Full record

ArticlePeerJ2019

Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer.

Zhengxin He, Yanli Liu, Tingting Wang, Yan Cheng, Jing Chen, Fukun Wang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. CAUTIon - not all UTIs are the same.Nature reviews. Urology · 2025
    Review
  2. Article
  3. Management of candiduria in hospitalized patients: a single-center study on the implementation of IDSA guidelines and factors affecting clinical decisions.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  4. 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

6 authors at 1 institution in 1 country.

Zhengxin HeDepartment of Clinical Laboratory, Bethune International Peace Hospital of PLA, Shijiazhuang, P.R. China.
Yanli LiuDepartment of Clinical Laboratory, Bethune International Peace Hospital of PLA, Shijiazhuang, P.R. China.
Tingting WangDepartment of Clinical Laboratory, Bethune International Peace Hospital of PLA, Shijiazhuang, P.R. China.
Yan ChengDepartment of Clinical Laboratory, Bethune International Peace Hospital of PLA, Shijiazhuang, P.R. China.
Jing ChenDepartment of Clinical Laboratory, Bethune International Peace Hospital of PLA, Shijiazhuang, P.R. China.
Fukun WangDepartment of Clinical Laboratory, Bethune International Peace Hospital of PLA, Shijiazhuang, P.R. China.
Bethune International Peace Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCandiduria is common in hospitalized patients. Its management is limited because of inadequate understanding. Previous epidemiological studies based on culture assay have been limited to small study populations. Therefore, data collected by automated systems from a large target population are necessary for more comprehensive understanding of candiduria in hospitalized patients.

methodsTo determine the performance of the Sysmex UF-1000i in detecting candiduria, a cross-sectional study was designed and conducted. A total of 203 yeast-like cell (YLC)-positive and 127 negative samples were randomly chosen and subjected to microbiologic analysis. The receiver operating characteristic curve (ROC) was used to evaluate the ability of YLC counts as measured by the Sysmex UF1000i to predict candiduria. Urinalysis data from 31,648 hospitalized patients were retrospectively investigated, and statistical analysis was applied to the data collected.

resultsUsing a cutoff value of 84.6 YLCs/µL, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the yeast like cell (YLC) counts to predict candiduria were 61.7%, 84.1%, 88.6% and 66.3%, respectively.

conclusionsThe YLC measured by Sysmex UF-1000i is a practical and convenient tool for clinical candiduria screening prior to microbiologic culture. Candiduria is common in hospitalized patients, and its incidence varies according to age, gender and the wards where it is isolated. Candiduria had no direct connection with mortality but might be considered a marker of seriously ill patients who need particular attention in the clinic.

Indexed as

CandiduriaEpidemiologyHospitalized patientsIntensive care unitSysmex UF-1000iYeast-like cell

Identifiers

PMID31149401
PMCPMC6532615
OpenAlexW2945856097

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.