Evidence map›Paper›PMID 35531475›Full record

ArticleDisease markers2022

Screening Biomarkers and Constructing a Predictive Model for Symptomatic Urinary Tract Infection and Asymptomatic Bacteriuria in Patients Undergoing Cutaneous Ureterostomy: A Metagenomic Next-Generation Sequencing Study.

Qian Yuan, Rong Huang, Liping Tang, Lijuan Yuan, Li Gao, Yang Liu, Ying Cao

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Qian YuanDepartment of Nursing, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.ORCID https://orcid.org/0000-0002-3728-7119
Rong HuangDepartment of Nursing, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.ORCID https://orcid.org/0000-0002-4949-4051
Liping TangDepartment of Nursing, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.ORCID https://orcid.org/0000-0002-9757-7548
Lijuan YuanGenskey Medical Technology Co. Ltd., Beijing 102206, China.ORCID https://orcid.org/0000-0002-6519-071X
Li GaoGenskey Medical Technology Co. Ltd., Beijing 102206, China.ORCID https://orcid.org/0000-0003-1652-6851
Yang LiuDepartment of Clinical Microbiology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.ORCID https://orcid.org/0000-0002-7137-9287
Ying CaoDepartment of Nursing, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.ORCID https://orcid.org/0000-0001-9073-4558
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the clinical diagnostic value of differential flora as biomarkers in patients with symptomatic urinary tract infection (UTI) and asymptomatic bacteriuria (ASB) undergoing cutaneous ureterostomy based on metagenomic next-generation sequencing and construct predictive models to provide a scientific reference for clinical diagnosis and treatment. Results: Urine culture was performed for 50 patients with cutaneous ureterostomy; 44 of these patients developed bacteriuria. The incidence of symptomatic bacteriuria was 54.55%. Biomarker analysis showed that Conclusion: mNGS had a higher positive detection rate for pathogens in urine samples. The selected differential bacteria can be used as biomarkers of ASB and UTI, and the prediction model has good predictive performance. Analysis also showed that the occurrence of symptoms was related to individual immunity. Combined with the Sum_weighted_Reads cutoff and cytokine levels (IL-6 and IL-1

Indexed as

BacteriuriaUrinary Tract InfectionsBiomarkersFemaleHigh-Throughput Nucleotide SequencingHumansInterleukin-6MaleUreterostomyBiomarkersInterleukin-6

Identifiers

PMID35531475
PMCPMC9072028
OpenAlexW4225122588

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.