Evidence map›Paper›PMID 38327928›Full record

ArticleCureus2024

Bacterial Diversity and Antibiotic Resistance Patterns of Community-Acquired Urinary Tract Infections in Mega Size Clinical Samples of Egyptian Patients: A Cross-Sectional Study.

Amr Tarek, Salah Abdalla, Nehal A Dokmak, Ali A Ahmed, Taghrid S El-Mahdy, Nesreen A Safwat

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Use ofAntibiotics (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Biosynthesis and Characterization ofInternational journal of molecular sciences · 2024
    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.

Amr TarekMicrobiology and Immunology, Modern University for Technology and Information (MTI), Cairo, EGY.
Salah AbdallaMicrobiology and Immunology, Suez-Canal University, Ismailia, EGY.
Nehal A DokmakMicrobiology and Immunology, Modern University for Technology and Information (MTI), Cairo, EGY.
Ali A AhmedMicrobiology and Immunology, Suez-Canal University, Ismailia, EGY.
Taghrid S El-MahdyMicrobiology and Immunology, Helwan University, Cairo, EGY.
Nesreen A SafwatMicrobiology and Immunology, Modern University for Technology and Information (MTI), Cairo, EGY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunity-acquired urinary tract infection (UTI) is one of the most common infectious diseases nowadays. Alarming increased levels of antimicrobial resistance are developing globally which limit treatment options and may lead to life-threatening problems.

aimOur study aimed to collect surveillance data on non-hospitalized Egyptian UTI cases and to develop strategies against multidrug-resistant pathogens (MDR). According to our knowledge, this is the first study to screen this high number (15,252 urine samples) in a short period (three months), providing valuable data on resistance profiles in non-hospitalized Egyptian UTI patients.

methodsA total of 15,252 urine samples were collected from different patients. Positive cultures were identified using a semi-quantitative method. Kirby-Bauer's disc diffusion method was used for antibiotic susceptibility testing, the double disc diffusion method was used for extended-spectrum beta-lactamases-producing strains, and the Chi-square test was used for statistical data processing.

resultsThe results showed 61% positive cultures, females accounted for 67.5%. Infants and elderly patients showed the highest positive cultures (74.4% and 69.2%, respectively). Despite

conclusionDespite

Indexed as

antimicrobial susceptibilitiesegyptescherichia coliextended-spectrum beta-lactamases (esbl)klebsiella speciesmultidrug resistance (mdr)surveillance dataurinary tract infection (uti)

Identifiers

PMID38327928
PMCPMC10849261

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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.