Evidence map›Paper›PMID 40949784›Full record

ArticleFrontiers in surgery2025

The burden of surgical site infection and associated factors among patients admitted to the surgical ward in resource-limited countries: an institutional-based cross-sectional study.

Simachew Zewdu, Abel Daniel, Amene Abebe, Zinabu Abraham, Hailu Elias, Adamu Belete

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Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Simachew ZewduDepartment of Surgery, School of Medicine, Wolaita Sodo University, Sodo, Ethiopia.
Abel DanielDepartment of Surgery, School of Medicine, Wolaita Sodo University, Sodo, Ethiopia.
Amene AbebeSchool of Public Health, Wolaita Sodo University, Sodo, Ethiopia.
Zinabu AbrahamDepartment of Surgery, School of Medicine, Wolaita Sodo University, Sodo, Ethiopia.
Hailu EliasDepartment of Surgery, School of Medicine, Wolaita Sodo University, Sodo, Ethiopia.
Adamu BeleteDepartment of Orthopedic and Trauma Surgery, Gondar University, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Surgical site infections (SSIs) are a leading cause of morbidity and mortality worldwide. Particularly, in low- and middle-income countries (LMICs), they are the most prevalent kind of healthcare-associated infection (HAI), and they play a role in the emergence of antibiotic resistance, which can result in serious illnesses. Therefore, this study aims to ascertain the burden and association of surgical site infection among patients on the surgical ward in resource-limited surgical setups. Method: An institutional-based cross-sectional study was conducted in Wolaita Sodo University Comprehensive Specialized Hospital from March 1, 2022 to July 30, 2023. A systematic random sampling method was employed. Data management and statistical analysis were performed using SPSS version 25. An adjusted odds ratio (AOR) with 95% confidence interval was used to measure the association between dependent and independent variables. A Result: This study included a total of 309 patients, of whom 198 (64.1%) were males. The average age of the participants was 42, and participants more than 42 years' old totaled 156 (50.5%); the type of residence was found to be rural for 236 patients (84.6%). The magnitude of surgical site infection was calculated to be 29.1%. Predisposing factors for surgical site infection included male sex (AOR -4.9; 95%; 2.0-11.3), drainage use (AOR -4.46; 95%; 1.9-10.3), and abdominal surgery (AOR-4.3; 95%; 1.3-14.1), whereas protective factors included younger female sex, elective surgery, and a surgery duration of less than 2 h.

Indexed as

burdenfactorsresource-limited setupsurgical site infectionsurgical ward

Identifiers

PMID40949784
PMCPMC12423092

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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.