Evidence map›Paper›PMID 38828377›Full record

ArticleInfection and drug resistance2024

Prevalence and Antimicrobial Sensitivity Patterns of Uropathogens in Wad Medani, Sudan: A Three Years, Cross-Sectional Study.

Yousif B Hamadalneel, Hifa O Ahmed, Marwa F Alamin, Walaa M Almahy, Zainab M Almustafa, Yousif M Yousif, Mohammed A Taha

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Yousif B HamadalneelDepartment of Clinical Pharmacy & Pharmacy Practice, Faculty of Pharmacy, University of Gezira, Wad Medani, Sudan.ORCID 0000-0003-4343-8902
Hifa O AhmedDepartment of Clinical Pharmacy & Pharmacy Practice, Faculty of Pharmacy, University of Gezira, Wad Medani, Sudan.
Marwa F AlaminDepartment of Molecular Biology, Institute of Endemic Disease, Khartoum University, Khartoum, Sudan.
Walaa M AlmahyClinical Pharmacy & Pharmacy Practice, Pharmacy Program, Wad Medani College for Science and Technology, Wad Medani, Gezira State, Sudan.
Zainab M AlmustafaClinical Pharmacy & Pharmacy Practice, Pharmacy Program, Wad Medani College for Science and Technology, Wad Medani, Gezira State, Sudan.
Yousif M YousifClinical Pharmacy & Pharmacy Practice, Pharmacy Program, Wad Medani College for Science and Technology, Wad Medani, Gezira State, Sudan.
Mohammed A TahaPathology Center for Diagnosis and Research, Faculty of Medicine, University of Gezira, Wad Medani, Sudan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Urinary tract infections exert a significant negative impact on an individual's quality of life and cause significant economic and public health burdens. Therefore, this study was conducted to identify the common bacterial uropathogens associated with urinary tract infections in Wad Medani patients and their susceptibility to antibiotics. Patients and Methods: This was a cross-sectional study. All urine samples were collected from patients at Wad Medani and investigated at the Pathology Center for Diagnosis and Research, Faculty of Medicine, University of Gezira, Sudan, from the 1st of January 2021 to the 15th of October 2023. Results: A total of 2698 urine samples were analyzed during the three years study period, with a mean age of 45.29 ± 18.9 years. Among these patients, 1108 (41.8%) were positive for bacterial growth, and 888 (80.14%) were female. A total of 522 (47.1%) were gram positive bacteria (GPB), and 586 (52.9%) were gram negative bacteria (GNB). The most frequently isolated bacteria were Conclusion: This study reported a moderate uropathogen isolation rate of 41.8%.

Indexed as

antimicrobialprevalencesensitivity patternsSudanuropathogensWad Medani

Identifiers

PMID38828377
PMCPMC11143980

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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.