Evidence map›Paper›PMID 39015246›Full record

ArticleInternational journal of microbiology2024

Antibiogram of Bacteria Isolated from Bloodstream Infection-Suspected Patients at the University of Gondar Comprehensive Specialized Hospital in Northwest Ethiopia: A Retrospective Study.

Minichil Worku, Tigist Molla, Desie Kasew, Muluneh Assefa, Alene Geteneh, Melak Aynalem, Mucheye Gizachew, Sirak Biset

Abstract read
In one paragraph

Article in International journal of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Resistance Trends inMicroorganisms · 2025
    Article
  3. 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

8 authors.

Minichil WorkuUniversity of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia.
Tigist MollaUniversity of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia.
Desie KasewDepartment of Medical Microbiology School of Biomedical and Laboratory Sciences College of Medicine and Health Sciences University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0002-9044-8663
Muluneh AssefaDepartment of Medical Microbiology School of Biomedical and Laboratory Sciences College of Medicine and Health Sciences University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0003-0241-8809
Alene GetenehDepartment of Medical Laboratory Science College of Health Sciences Woldia University, Woldia, Ethiopia.ORCID https://orcid.org/0000-0002-7153-4849
Melak AynalemDepartment of Hematology and Immunohematology School of Biomedical and Laboratory Sciences College of Medicine and Health Science University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0003-1461-0160
Mucheye GizachewDepartment of Medical Microbiology School of Biomedical and Laboratory Sciences College of Medicine and Health Sciences University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0002-3754-2618
Sirak BisetDepartment of Medical Microbiology School of Biomedical and Laboratory Sciences College of Medicine and Health Sciences University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0002-1260-1108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bacterial bloodstream infections (BSIs) are the leading cause of sepsis-related morbidity and mortality worldwide. The emergence and spread of antimicrobial resistance (AMR) in bacteria is also a growing global concern. As a result, data on bacterial profile and their antibiogram are essential for strategies to contain drug resistance, improve the quality of patient care, and strengthen health systems. Methods: Retrospective data from bacteriological results of blood samples of BSI-suspected patients from 2018 to 2021 were collected using a data collection sheet. Standard bacteriological techniques were followed during sample collection, culture preparation, bacterial identification, and antibiotic susceptibility testing (AST). We used Epi Info version 7 to enter and clean the data and then exported it to SPSS version 26 for analysis. Logistic regression models were used to measure the association between variables. A Result: Of the total 2,795 blood culture records, 455 (16.3%) were culture positive for bacteria, with Conclusion: Bacterial BSI and AMR were growing concerns in the study area. Bacteremia was more common in children under the age of five, and it decreased as the patient's age increased. The alarming rate of AMR, such as MDR blood isolates, calls for periodic and continuous monitoring of antibiotic usage in the study area.

Identifiers

PMID39015246
PMCPMC11250713

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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.