Evidence map›Paper›PMID 39873000›Full record

ArticleIJID regions2025

Bacterial surgical site infections: prevalence, antimicrobial susceptibility patterns, and associated risk factors among patients at Bule Hora University Teaching Hospital, Southern Ethiopia.

Kalicha Boru, Alqeer Aliyo, Derese Daka, Tibeso Gamachu, Oliyad Husen, Zekarias Solomon

Abstract read
In one paragraph

Article in IJID regions, 2025. 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.

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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

6 authors.

Kalicha BoruDepartment of Medical Laboratory Science, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.
Alqeer AliyoDepartment of Medical Laboratory Science, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.
Derese DakaDepartment of Medical Laboratory Science, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Tibeso GamachuDepartment of Medical Laboratory Science, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.
Oliyad HusenDepartment of Medical Laboratory Science, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.
Zekarias SolomonDepartment of Medical Laboratory Science, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Surgical site infections occur within 30 days of an invasive surgical procedure in the parts of the body where the surgery is performed. Therefore, this study aimed to determine the prevalence, antimicrobial susceptibility patterns, and associated risk factors of surgical site infections at Bule Hora University Teaching Hospital, Southern Ethiopia. Methods: An institution-based cross-sectional study was conducted with 183 consecutively enrolled participants between 1 January and 30 June 2023. Microbiological identification and antimicrobial susceptibility testing of the organisms isolated from clinical samples were performed aseptically. Data were collected using a questionnaire and analysed using SPSS version 26. Results: The overall prevalence of surgical site infections was 15.8% (95% CI, 10.9-22). The predominant isolate was Conclusions: The prevalence of surgical site infections and multidrug-resistant isolates is higher compared with World Health Organisation reports or previous studies. This finding emphasises the need for routine screening and antimicrobial susceptibility testing to prevent and control site infections.

Indexed as

Antimicrobial susceptibilityBule Hora UniversitySurgical siteTeaching hospital

Identifiers

PMID39873000
PMCPMC11771276

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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.