Evidence map›Paper›PMID 32148678›Full record

ArticleIranian journal of microbiology2019

Surveillance of antibiotic resistance among uropathogens in Aljouf region northern Saudi Arabia.

Ibrahim Taher, Abdulrahman Almaeen, Hassan Aljourfi, Eyad Bohassan, Ahmed Helmy, Eman El-Masry, Baraka Saleh, Nawaf Aljaber

Open access · diamondAbstract read
In one paragraph

Article in Iranian journal of microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. A review of colistin-resistantArchives of Razi Institute · 2024
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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

8 authors at 1 institution in 1 country.

Ibrahim TaherDepartment of Pathology, College of Medicine, Jouf University, Sakaka, Saudi Arabia.
Abdulrahman AlmaeenDepartment of Pathology, College of Medicine, Jouf University, Sakaka, Saudi Arabia.
Hassan AljourfiDepartment of Medicine,College of Medicine, Jouf University, Sakaka, Saudi Arabia.
Eyad BohassanDepartment of Medicine,College of Medicine, Jouf University, Sakaka, Saudi Arabia.
Ahmed HelmyDepartment of Tropical Medicine & Gastroenterology, Assiut University Hospitals, Assiut, Egypt.
Eman El-MasryDepartment of Pathology, College of Medicine, Jouf University, Sakaka, Saudi Arabia.
Baraka SalehDepartment of Microbiology, Microbiology Laboratory, Prince Mutaib Hospital, Sakaka, Saudi Arabia.
Nawaf AljaberDepartment of Microbiology, Microbiology Laboratory, Prince Mutaib Hospital, Sakaka, Saudi Arabia.
Al Jouf University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesUrinary tract infections are common health problem affecting millions worldwide. Antibiotic resistance among uropathogens (Ups) is prevalent in many countries. In the absence of any available data in the region, this hospital-based study investigated the pattern, frequency and susceptibility of Ups at Prince Mutaib Bin Abdulaziz Hospital, Aljouf Region, Saudi Arabia. MATERIALS AND

methodsA retrospective assessment of UPs and their antibiotics susceptibility was conducted from January 2017 to December 2017 using the fully automated Vitek2 system (BioMérieux, France).

resultsAmong the 415 uropathogens isolates, the most prevalent bacteria were Gram-negatives comprising 137 (51%)

conclusionThe observed widespread multidrug resistance clearly warrant implementing stricter control measures, local guidelines of antimicrobials usage, and continuous epidemiological surveys at hospitals and communities.

Indexed as

Antimicrobial susceptibilityGram-negative bacteriaGram-positive bacteriaUrinary tract infection

Identifiers

PMID32148678
PMCPMC7048966
OpenAlexW3000157324

What OpenQuestion holds

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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.