Evidence map›Paper›PMID 37396068›Full record

ArticleInfection and drug resistance2023

Prevalence, Pathogenic Bacterial Profile and Antimicrobial Susceptibility Pattern of Urinary Tract Infection Among Children with Congenital Anomalies of the Kidney and Urinary Tract.

Kaiping Zhang, Yin Zhang, Min Chao, Zongyao Hao

Abstract read
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Descriptive Epidemiology ofBioMed research international · 2025
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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

4 authors.

Kaiping ZhangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University; Institute of Urology, Anhui Medical University; Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui Province, 230000, People's Republic of China.ORCID 0000-0001-5605-3302
Yin ZhangDepartment of Urology, Anhui Provincial Children's Hospital/Children's Hospital of Fudan University (Affiliated Anhui Branch), Hefei, Anhui Province, 230000, People's Republic of China.ORCID 0000-0002-7662-9791
Min ChaoDepartment of Urology, Anhui Provincial Children's Hospital/Children's Hospital of Fudan University (Affiliated Anhui Branch), Hefei, Anhui Province, 230000, People's Republic of China.
Zongyao HaoDepartment of Urology, The First Affiliated Hospital of Anhui Medical University; Institute of Urology, Anhui Medical University; Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui Province, 230000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The study was to detect the pathogenic bacterial profile and antibiogram among children with congenital anomalies of the kidney and urinary tract (CAKUT). Patients and Methods: A retrospective analysis was performed using medical records of urine culture results and antibiotic susceptibility results in patients with UTIs from March 2017 to March 2022. Antimicrobial susceptibility pattern was determined by a standard agar disc diffusion method. Results: A total of 568 children were included. The proportion of culture-positive UTI was 59.15% (336/568). More than nine types of bacteria were isolated with most pathogens being Gram-negative species. Among Gram-negative isolates, the predominant bacteria were Conclusion: A higher prevalence of culture-positive UTI was detected.

Indexed as

antimicrobial susceptibilitycongenital anomalies of the kidney and urinary tractmulti-drug resistanceprevalenceurinary tract infection

Identifiers

PMID37396068
PMCPMC10312322

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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.