Evidence map›Paper›PMID 34650726›Full record

ArticleAmerican journal of translational research2021

Distribution and drug resistance of pathogens causing urinary tract infection in patients with urinary calculi.

Haijun Cui

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Review
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

1 author at 1 institution in 1 country.

Haijun CuiDepartment of Urology Surgery, Tangshan Workers Hospital Tangshan 063000, Hebei Province, China.
Tangshan People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study set out to clarify the distribution and drug resistance of pathogens causing urinary tract infection (UTI) in patients with urinary calculi.

methodsPathogens were isolated from urine samples of patients with urinary calculi also complicated with UTIs, during the period from 2015 to 2019, and the samples were cultured for drug sensitivity testing to study the drug resistance of pathogens. The results were analyzed by SPSS 22.0 software.

resultsGram-negative bacteria were the main pathogens found in patients with urinary calculi complicated with UTI (84.52%). Escherichia coli, Enterococcus faecalis and Monilia albicans were the most common Gram-negative bacteria (48.84%), Gram-positive bacteria (34.78%) and fungus (29.41%), respectively. The UTI rates were higher in female patients than in male patients, and were higher in patients ≥ 60 years old compared with those < 60 years old. Escherichia coli and Klebsiella pneumoniae had the highest resistance to ampicillin and the lowest resistance to imipenem. Enterococcus faecalis Enterococcus Faecium had the highest resistance to penicillin and ampicillin, but the lowest resistance to vancomycin and linezolid.

conclusionThe present study found that the pathogenic bacteria found in patients with urinary calculi complicated with UTI are mainly Gram-negative bacteria; and Escherichia coli is the main pathogenic bacteria causing the infection. Gender and age may be risk factors for urinary calculi complicated with UTI. Antibiotics should be selected reasonably according to the drug resistance pattern of pathogenic bacteria in clinical anti-infection management.

Indexed as

distribution and drug resistance of pathogenic bacteriaUrinary calculiurinary tract infection

Identifiers

PMID34650726
PMCPMC8507078
OpenAlexW3207404770

What OpenQuestion holds

Textmetadata
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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.